{ "count": 108, "results": [ { "slug": "dental-soap", "matches": [ { "quest": "Backyard AI", "confidence": 0.96, "evidence": "builder's own case took three months and two specialties to untangle", "source": "readme" }, { "quest": "Tiny Titan", "confidence": 0.97, "evidence": "4B open model inside the Space; Qwen3-4B-Instruct-2507", "source": "readme" }, { "quest": "Off the Grid", "confidence": 0.9, "evidence": "from transformers import AutoModelForCausalLM, AutoTokenizer; no cloud client", "source": "app_file" }, { "quest": "Sharing is Caring", "confidence": 0.85, "evidence": "from pdf_export import build_pdf", "source": "app_file" }, { "quest": "Field Notes", "confidence": 0.78, "evidence": "Why This Exists (A Real Case) write-up of the build motivation", "source": "readme" }, { "quest": "Off-Brand", "confidence": 0.82, "evidence": "header_html, footer_html, rail_html, render_handoff_html custom HTML", "source": "app_file" } ], "signal_profile": "both", "audit": "Kept all 6; evidence verified verbatim. Off the Grid valid: APP_FILE only local transformers, no cloud client; README's 'frontier cloud model' was the builder's PAST manual workflow, not the deployed app. Tiny Titan genuine 4B Qwen3. Tightened Off-Grid/Tiny-Titan quotes. Field Notes lowered to 0.78 (narrative, not devlog). Dropped a Best Agent add (only imports, no proven loop)." }, { "slug": "pakistan-notice-helper", "matches": [ { "quest": "Off the Grid", "confidence": 0.92, "evidence": "from llama_cpp import Llama; MiniCPM-V-4_6 GGUF weights", "source": "app_file" }, { "quest": "Llama Champion", "confidence": 0.98, "evidence": "from llama_cpp import Llama", "source": "app_file" }, { "quest": "OpenBMB", "confidence": 0.98, "evidence": "DEFAULT_MODEL_REPO = \"openbmb/MiniCPM-V-4.6-gguf\"", "source": "app_file" }, { "quest": "Off-Brand", "confidence": 0.93, "evidence": "custom mobile-first frontend served by gradio.Server", "source": "readme" }, { "quest": "Backyard AI", "confidence": 0.78, "evidence": "Backyard AI project; people receive convincing payment notices", "source": "readme" } ], "signal_profile": "both", "audit": "Kept Off the Grid, Llama Champion, OpenBMB (all literal in APP_FILE: llama_cpp import, GGUF weights, openbmb repo, no cloud API). Kept Off-Brand (custom gradio.Server, no default UI). Kept Backyard AI lowered to 0.78 (self-declared, real scam problem, but general 'people' not one named persona). DROPPED Tiny Titan: MiniCPM-V is ~8B-class; '4.6' is version not params." }, { "slug": "Kintsugi-Garden", "matches": [ { "quest": "Tiny Titan", "confidence": 0.95, "evidence": "lightweight instruction model (microsoft/Phi-4-mini-instruct)", "source": "app_file" }, { "quest": "Off the Grid", "confidence": 0.78, "evidence": "transformers imported lazily inside load_model(); no cloud API clients", "source": "app_file" }, { "quest": "Thousand Token Wood", "confidence": 0.82, "evidence": "deterministic mandala generator (PIL) that visualizes the symbols", "source": "readme" } ], "signal_profile": "both", "audit": "KEPT Tiny Titan (Phi-4-mini ~3.8B, literal quote). KEPT Off the Grid (local transformers, no cloud client visible; conf lowered, file truncates). KEPT Thousand Token Wood (mandala/dream art). DROPPED Off-Brand: tabs=default Gradio, no custom CSS/HTML. DROPPED Backyard AI: generic, no named person. DROPPED Field Notes: docstring is architecture desc, not a build write-up." }, { "slug": "lolaby", "matches": [ { "quest": "Backyard AI", "confidence": 0.97, "evidence": "kindergarten teacher runs nap time for fifteen 4-year-olds", "source": "readme" }, { "quest": "Off the Grid", "confidence": 0.95, "evidence": "Everything runs locally. No cloud LLM, no per-song API cost", "source": "readme" }, { "quest": "Llama Champion", "confidence": 0.97, "evidence": "from llama_cpp import Llama", "source": "app_file" }, { "quest": "Tiny Titan", "confidence": 0.9, "evidence": "a small, on-device AI; lolaby-llama-3b (3B), Kokoro-82M", "source": "readme" }, { "quest": "OpenBMB", "confidence": 0.9, "evidence": "MiniCPM-V can't load (openbmb/MiniCPM-V-4_6)", "source": "app_file" }, { "quest": "Thousand Token Wood", "confidence": 0.85, "evidence": "watches your child's drawings and sings them a personalised lullaby", "source": "readme" } ], "signal_profile": "both", "audit": "KEPT Backyard AI, Off the Grid (no cloud client in app_file), Llama Champion (verbatim import), OpenBMB (MiniCPM-V in app_file), Tiny Titan (3B/82M <=4B). FIXED OpenBMB/Tiny Titan/Backyard evidence to findable text. DROPPED Well-Tuned: cited README never says fine-tune/LoRA/SFT, only repo name+tag. ADDED Thousand Token Wood: creative lullaby framing." }, { "slug": "exam-panic-rescue", "matches": [ { "quest": "Off-Brand", "confidence": 0.9, "evidence": "custom CSS :root variables, radial-gradient backgrounds, custom font-family", "source": "app_file" }, { "quest": "Field Notes", "confidence": 0.8, "evidence": "build notes drafted in docs/codex-build-trace.md and docs/demo-script.md", "source": "readme" }, { "quest": "Backyard AI", "confidence": 0.82, "evidence": "one stressed student, one exam, one time box, one final sheet", "source": "readme" } ], "signal_profile": "both", "audit": "Off-Brand KEPT, evidence FIXED: gr.Blocks not in truncated APP_FILE; retied to present custom CSS (:root vars, gradients, font-family). Field Notes KEPT (README links drafted codex-build-trace.md + demo-script.md), confidence trimmed (in-progress notes). Backyard AI KEPT (verbatim quote, concrete student persona). No Off the Grid: no API but no visible local model, declared_models empty. No add." }, { "slug": "AI-agent-Evaluation-pipeline", "matches": [], "signal_profile": "none", "audit": "Dropped Best Agent: project EVALUATES agent traces; not itself agentic. \"Span tool-call accuracy\" is a scoring metric, \"Tool Calling demo trace\" is sample input. Off the Grid contradicted: README \"works offline\" but APP_FILE uses \"the cloud InferenceClient\". No model named so Tiny Titan/Nemotron fail; charts displayed not exportable; README is a feature list. No match survives." }, { "slug": "global-leaders", "matches": [ { "quest": "Thousand Token Wood", "confidence": 0.96, "evidence": "political-strategy game where a small language model runs the world", "source": "readme" }, { "quest": "Nemotron", "confidence": 0.9, "evidence": "Backend: Ollama Cloud (Nemotron) if OLLAMA_API_KEY is set", "source": "app_file" } ], "signal_profile": "both", "audit": "KEPT Thousand Token Wood (verbatim README premise). KEPT Nemotron, FIXED evidence to app_file docstring 'Ollama Cloud (Nemotron)' (labeler cited README badge as app_file). DROPPED Off-Brand: SFX/STANCE_DOT are game content, no gr.HTML/Blocks css/theme visible. DROPPED Field Notes: README describes mechanics, not a build write-up. No Off the Grid (uses Ollama Cloud) or Tiny Titan (32B)." }, { "slug": "pocket-weather-theater", "matches": [ { "quest": "Well-Tuned", "confidence": 0.96, "evidence": "TUNED_ADAPTER_ID ...smollm2-135m-lora; from peft import PeftModel", "source": "app_file" }, { "quest": "Tiny Titan", "confidence": 0.97, "evidence": "MODEL_ID HuggingFaceTB/SmolLM2-135M-Instruct (135M)", "source": "app_file" }, { "quest": "Off the Grid", "confidence": 0.93, "evidence": "local transformers load, no openai/anthropic/gemini imports", "source": "app_file" }, { "quest": "Thousand Token Wood", "confidence": 0.95, "evidence": "joyful Gradio toy... impossible weather... miniature stage plays", "source": "readme" }, { "quest": "Sharing is Caring", "confidence": 0.85, "evidence": "one-click download pack, downloadable postcard image, Share Card", "source": "readme" } ], "signal_profile": "both", "audit": "Kept Well-Tuned (published LoRA repo + PeftModel import), Tiny Titan (SmolLM2-135M, under 4B), Off the Grid (local transformers, no cloud API imports), Thousand Token Wood (joyful stage-play framing), Sharing is Caring (download pack/postcard/Share Card). Dropped Off-Brand: cited evidence is generated media outputs, not custom frontend; no gr.HTML/Blocks(css=) verifiable in APP_FILE. Profile both." }, { "slug": "Trollsona", "matches": [ { "quest": "Thousand Token Wood", "confidence": 0.97, "evidence": "Track: An Adventure in Thousand Token Wood; playful troll alter ego; goblin meter", "source": "readme" }, { "quest": "Tiny Titan", "confidence": 0.93, "evidence": "compact model derived from Qwen/Qwen2.5-3B-Instruct; lightweight Qwen 0.5B fallback", "source": "readme" }, { "quest": "Off the Grid", "confidence": 0.85, "evidence": "Local Hugging Face Transformers generation path for the primary AI runtime", "source": "readme" } ], "signal_profile": "both", "audit": "KEPT Thousand Token Wood (track+goblin meter), Tiny Titan (3B/0.5B Qwen <=4B), Off the Grid (local transformers, no cloud API; conf lowered as model off-by-default). DROPPED Well-Tuned: derived/compact/qkvfp16=quantization not fine-tune, no LoRA/PEFT/SFT. DROPPED Field Notes: features/fallback list is ordinary README. APP_FILE corroborates both axes." }, { "slug": "gitopadesh", "matches": [ { "quest": "Thousand Token Wood", "confidence": 0.9, "evidence": "Lord Krishna himself responds in first person citing exact Chapter and Verse", "source": "readme" }, { "quest": "Sharing is Caring", "confidence": 0.8, "evidence": "Your Shloka Card, Download and Share", "source": "app_file" }, { "quest": "Off-Brand", "confidence": 0.6, "evidence": "multilingual TRANSLATIONS UI, Battlefield Map, PIL shloka card", "source": "app_file" } ], "signal_profile": "both", "audit": "KEPT Thousand Token Wood (Krishna first-person verse persona). KEPT Sharing (Shloka Card download string plus PIL card). KEPT Off-Brand at 0.6, evidence retied to findable strings. DROPPED Field Notes (prompt blurb, not a devlog). DROPPED Backyard AI (targets every seeker, generic not named). No Tiny Titan (Qwen 7B); no Off the Grid (HF hosted, not local)." }, { "slug": "roadb-other-screen", "matches": [ { "quest": "Llama Champion", "confidence": 0.97, "evidence": "from llama_cpp import Llama", "source": "app_file" }, { "quest": "Off the Grid", "confidence": 0.85, "evidence": "Qwen GGUF through llama.cpp via llama-cpp-python", "source": "app_file" }, { "quest": "Thousand Token Wood", "confidence": 0.93, "evidence": "interactive fiction experience... cinematic Other Screen... strange mirror", "source": "readme" }, { "quest": "Off-Brand", "confidence": 0.9, "evidence": "from gradio import Server; custom frontend: index.html", "source": "app_file" }, { "quest": "Sharing is Caring", "confidence": 0.88, "evidence": "download a souvenir card... export a synthetic-style trace", "source": "readme" } ], "signal_profile": "both", "audit": "KEPT all 5; evidence verified in source. Off the Grid conf trimmed: GGUF/llama-cpp local, no cloud API in visible app_file (truncated). TTW evidence tightened to findable README quote. NOT added Tiny Titan (Qwen3.5-9B = 9B, over 4B) or Modal (tag only, absent from README/app_file text)." }, { "slug": "dreamwall-mc", "matches": [ { "quest": "Thousand Token Wood", "confidence": 0.92, "evidence": "hatch a NeuroPet from a prompt, carve creature's memory", "source": "readme" }, { "quest": "Sharing is Caring", "confidence": 0.45, "evidence": "every prompt becomes part of a public server museum", "source": "readme" } ], "signal_profile": "readme_only", "audit": "Kept Thousand Token Wood (playful Minecraft creature/art game). Kept Sharing is Caring at 0.45 (public museum of artifacts, but no export/push_to_hub in truncated APP_FILE). Dropped Off the Grid: no local model load (MODEL_ID is a hashlib fingerprint, declared_models empty); rested on API absence plus hedged README. Dropped Field Notes: \"Why This Is Different\" is positioning, not a build write-up." }, { "slug": "persona-atlas", "matches": [ { "quest": "Best Agent", "confidence": 0.93, "evidence": "agent runs web searches, pulls portrait, assembles profile", "source": "readme" }, { "quest": "Thousand Token Wood", "confidence": 0.85, "evidence": "Put Socrates, Churchill, and Sam Altman in the same room", "source": "readme" } ], "signal_profile": "both", "audit": "KEPT Best Agent: real autonomous loop (web search, assemble dossier); DDGS confirms. KEPT Thousand Token Wood: playful 'same room' AI experiment. DROPPED Sharing is Caring: portrait stored with run is internal, not user export. DROPPED Off-Brand: matplotlib/UMAP/html.escape are generic, not custom CSS/gr.HTML; only plain import gradio. Not added: Off the Grid (remote HF novita), Tiny Titan (26B)." }, { "slug": "ContextForge", "matches": [ { "quest": "Off the Grid", "confidence": 0.85, "evidence": "from transformers import AutoModelForCausalLM, AutoTokenizer; no cloud imports", "source": "app_file" }, { "quest": "Tiny Titan", "confidence": 0.85, "evidence": "DEFAULT_MODEL_ID = \"Qwen/Qwen2.5-0.5B-Instruct\"", "source": "app_file" }, { "quest": "Backyard AI", "confidence": 0.68, "evidence": "Backyard AI Fit - Built for real builders using AI coding agents", "source": "readme" } ], "signal_profile": "both", "audit": "KEPT Off the Grid: transformers/Qwen load, no cloud imports. KEPT Tiny Titan: default Qwen2.5-0.5B; 32B is optional high tier. KEPT Backyard AI, conf lowered (builder persona, not one named person). DROPPED Best Agent: AGENTIC_LOOP is a prompt-template tag and the seven modules are a fixed sequential pipeline, not autonomous tool-use; evidence wrongly attributed to readme." }, { "slug": "lovegpt", "matches": [ { "quest": "Llama Champion", "confidence": 0.78, "evidence": "llama-server -hf ysn-rfd/Phi-4-mini-instruct-GGUF:Q4_0", "source": "readme" }, { "quest": "Tiny Titan", "confidence": 0.75, "evidence": "local Phi-4-mini-instruct GGUF runtime", "source": "readme" } ], "signal_profile": "readme_only", "audit": "Fields truncated; judged visible text. KEPT Llama Champion (README llama-server pulls Phi-4-mini GGUF; lower conf, runtime is optional). KEPT Tiny Titan (Phi-4-mini ~3.8B). DROPPED Off-Brand: Flutter separate, Space is default Gradio adapter, no gr.HTML/css= visible. DROPPED Well-Tuned: vague training-pipeline line only. DROPPED Sharing: encrypted key-locked JSONL, not shareable." }, { "slug": "her", "matches": [ { "quest": "Off-Brand", "confidence": 0.95, "evidence": "Gradio Server mode, FastAPI server, React app calls custom routes", "source": "app_file" } ], "signal_profile": "app_only", "audit": "KEPT Off-Brand: APP_FILE shows Gradio Server mode, FastAPI server, React app on bespoke /api routes; tightened evidence. DROPPED Backyard AI: README is a general dev tool for coding-agent sessions, not a specific named person the quest needs. No new matches: deterministic analyzer not agentic; no clear export or local-model load in truncated text. profile -> app_only." }, { "slug": "ux-crime-scene", "matches": [ { "quest": "Modal", "confidence": 0.97, "evidence": "Qwen2.5-VL-32B-Instruct on Modal (vLLM, A100-80GB)", "source": "readme" }, { "quest": "Off-Brand", "confidence": 0.9, "evidence": "STATIC_CSS reads styles.css; --asset CSS var overrides", "source": "app_file" }, { "quest": "Thousand Token Wood", "confidence": 0.92, "evidence": "hard-boiled, film-noir detective; detective thriller", "source": "readme" }, { "quest": "Sharing is Caring", "confidence": 0.85, "evidence": "every investigation gets a unique, shareable link", "source": "readme" }, { "quest": "Best Agent", "confidence": 0.78, "evidence": "imports investigate_agentic from detective", "source": "app_file" } ], "signal_profile": "both", "audit": "KEPT all 5; cited segments verified present. Off-Brand trimmed to 0.90 (real STATIC_CSS + base64 --asset CSS overrides). Sharing 0.85. Best Agent 0.78 (only investigate_agentic import visible, loop body off-segment). DROPPED: Tiny Titan (32B not <=4B), Off the Grid (remote Modal vLLM, not local), Field Notes (truncated tech table, no write-up)." }, { "slug": "Tone-Bridge", "matches": [ { "quest": "Off-Brand", "confidence": 0.8, "evidence": "app = gr.Server()", "source": "app_file" }, { "quest": "Off the Grid", "confidence": 0.85, "evidence": "AutoModelForCausalLM from transformers; no cloud API imports", "source": "app_file" }, { "quest": "Field Notes", "confidence": 0.6, "evidence": "README has Problem / What it does / How it works write-up", "source": "readme" } ], "signal_profile": "both", "audit": "KEPT Off-Brand (gr.Server() in app_file; 0.95->0.8). KEPT Off the Grid (local Qwen, 4bit, no cloud API; ->0.85). KEPT Field Notes (Problem/What/How write-up; ->0.6). DROPPED Backyard AI: broad learner audience, not a named person. DROPPED Tiny Titan: core model is Qwen3-14B; 0.6B is only auxiliary TTS." }, { "slug": "family-care-network", "matches": [ { "quest": "Backyard AI", "confidence": 0.96, "evidence": "Specific real user: a Ghanaian family coordinator checking on elders", "source": "readme" }, { "quest": "Well-Tuned", "confidence": 0.9, "evidence": "\"Adwuma Pa Akan Whisper fine-tune\", \"fine_tuned\" ASR choice", "source": "app_file" }, { "quest": "Field Notes", "confidence": 0.7, "evidence": "See CODEX_BUILD_LOG.md and HACKATHON_TODO.md documenting build", "source": "readme" } ], "signal_profile": "both", "audit": "KEPT Backyard AI, Well-Tuned (literal fine_tuned ASR choice), Field Notes (build-log docs). DROPPED Modal: app imports local services.modal_client, not import modal; README never cites Modal. DROPPED Best Agent: \"agentic\" is marketing for rule-based relay, no tool/function-call loop. DROPPED Off-Brand: \"custom Gradio UI\" is only a badge target; app is default gr tables." }, { "slug": "Case-Lantern", "matches": [ { "quest": "Llama Champion", "confidence": 0.99, "evidence": "from llama_cpp import Llama", "source": "app_file" }, { "quest": "Off the Grid", "confidence": 0.95, "evidence": "Backend: llama-cpp-python (GGUF, runs on free CPU Spaces); no cloud API", "source": "app_file" }, { "quest": "Thousand Token Wood", "confidence": 0.92, "evidence": "fictional medical mystery game; Thousand Token Wood track", "source": "readme" }, { "quest": "Off-Brand", "confidence": 0.85, "evidence": "Dark glassmorphism theme, custom CSS", "source": "readme" }, { "quest": "Well-Tuned", "confidence": 0.7, "evidence": "Uses fine-tuned model published on HF (Qwen3.5-Medical-GSPO)", "source": "readme" } ], "signal_profile": "both", "audit": "KEPT Llama Champion (literal import) and Off the Grid (app docstring llama-cpp-python GGUF, no cloud client). KEPT Thousand Token Wood, Off-Brand, Well-Tuned from README. DROPPED Tiny Titan: README says ~4.66B params, exceeds the <=4B threshold (only constraint cited is under 32B). No missed quests: no tool-calling, no export artifact, README is a badge sheet not a devlog." }, { "slug": "planpalette", "matches": [ { "quest": "Off the Grid", "confidence": 0.72, "evidence": "diffusers AutoPipelineForText2Image; no proprietary API imports", "source": "app_file" } ], "signal_profile": "app_only", "audit": "KEPT Off the Grid: diffusers AutoPipelineForText2Image in APP_FILE, open-weight SDXL run locally, no cloud API. DROPPED Backyard AI: 'visualization artists' is a generic profession, no named person. DROPPED Field Notes: README is a feature doc, not a build write-up. DROPPED Sharing is Caring: 'Final PNG output' is a displayed render, no export button. Only app_file yields a signal." }, { "slug": "cloud-parade-cabinet", "matches": [ { "quest": "Thousand Token Wood", "confidence": 0.97, "evidence": "kinetic Gradio toy where a hosted small model invents a tiny impossible parade", "source": "readme" }, { "quest": "OpenBMB", "confidence": 0.97, "evidence": "OPENBMB_MODEL = ... openbmb/MiniCPM4-8B", "source": "app_file" }, { "quest": "Nemotron", "confidence": 0.97, "evidence": "NVIDIA_MODEL = ... nvidia/llama-3.1-nemotron-nano-8b-v1", "source": "app_file" } ], "signal_profile": "both", "audit": "KEPT Thousand Token Wood (toy/art framing), OpenBMB (openbmb/MiniCPM4-8B), Nemotron (nvidia nemotron-nano-8b). DROPPED Sharing is Caring: only script filenames cited, no download/export or push_to_hub shown. Off the Grid absent: readme 'Cloud API allowed', app uses InferenceClient+NVIDIA. Tiny Titan absent: 7B/8B. Modal tag has no import modal in text." }, { "slug": "neilA", "matches": [ { "quest": "Thousand Token Wood", "confidence": 0.9, "evidence": "that \"it finally understood me\" moment is the payoff", "source": "readme" }, { "quest": "Off the Grid", "confidence": 0.65, "evidence": "LocalBrain/make_brain; model loaded at MODULE level, no proprietary API imports", "source": "app_file" }, { "quest": "Off-Brand", "confidence": 0.55, "evidence": "css/theme on Blocks() so custom styling applies whichever version", "source": "app_file" } ], "signal_profile": "both", "audit": "Kept Thousand Token Wood (verbatim payoff quote; playful alien game). Kept Off the Grid, tightened to LocalBrain/make_brain at module level, no openai/anthropic imports; lowered to 0.65 (brain/model truncated). Kept Off-Brand at 0.55: only css/theme-on-Blocks() comment visible, no concrete css= arg. DROPPED Field Notes: Architecture+SPEC link is product docs, not a build write-up/devlog." }, { "slug": "First-Principle-AI", "matches": [ { "quest": "Llama Champion", "confidence": 0.96, "evidence": "GGUF model through the official llama.cpp llama-server release", "source": "readme" }, { "quest": "Off the Grid", "confidence": 0.8, "evidence": "hf_hub_download of model-Q8_0.gguf, run via local llama-server, no cloud client", "source": "app_file" }, { "quest": "Field Notes", "confidence": 0.55, "evidence": "Runtime Notes: model repo, file, runtime, hardware target, llama.cpp settings", "source": "readme" } ], "signal_profile": "both", "audit": "Both fields truncated; audited visible text only. KEPT Llama Champion (README: GGUF via official llama.cpp llama-server); fixed source to readme. FIXED Off the Grid: cited phrase was README; app_file shows hf_hub_download of model-Q8_0.gguf, no cloud client, kept on app_file at 0.8. ADDED Field Notes (Runtime Notes). No size named, no Tiny Titan; no custom CSS, no Off-Brand." }, { "slug": "legawa", "matches": [ { "quest": "Best Agent", "confidence": 0.95, "evidence": "Asisten multi-agen ... analis_ruu, peneliti, penyusun, surat", "source": "readme" } ], "signal_profile": "both", "audit": "KEPT Best Agent: README multi-agen + four named agents; APP_FILE imports analis_ruu/peneliti/penyusun/surat with tools + query-expansion search. DROPPED Backyard AI: targets legislators as a profession, not one named person. DROPPED Off the Grid: default is HF Inference API (cloud); llama.cpp only optional. No Tiny Titan (9B/30B/8B all >4B)." }, { "slug": "come-and-compare", "matches": [], "signal_profile": "none", "audit": "Dropped both. Backyard AI: README targets \"millions of shoppers in India,\" mass-market not one named person. Field Notes: those are pitch headers, not a build write-up. No new match: Tiny Titan ineligible (Qwen2.5-7B); Off the Grid fails (HF InferenceClient API, no local load); Best Agent/Off-Brand unevidenced in truncated text." }, { "slug": "hackathon-advisor", "matches": [ { "quest": "Well-Tuned", "confidence": 0.97, "evidence": "published PEFT LoRA adapter for MiniCPM5", "source": "readme" }, { "quest": "Llama Champion", "confidence": 0.95, "evidence": "runtime query embeddings computed through llama.cpp", "source": "readme" }, { "quest": "Nemotron", "confidence": 0.95, "evidence": "Nemotron Speech Streaming via NVIDIA NeMo ASR", "source": "readme" }, { "quest": "Best Agent", "confidence": 0.9, "evidence": "AdvisorEngine tool-call planning, resolve_tool_call, tool_schemas", "source": "app_file" }, { "quest": "Off the Grid", "confidence": 0.92, "evidence": "local MiniCPM5 transformers plus llama.cpp GGUF, no cloud API", "source": "app_file" }, { "quest": "Tiny Titan", "confidence": 0.95, "evidence": "runs openbmb/MiniCPM5-1B, a 1B model", "source": "readme" } ], "signal_profile": "both", "audit": "All 6 proposals verified as genuine. KEPT Well-Tuned, Llama Champion, Nemotron, Best Agent. Added strong misses Off the Grid (fully local; only openai ref is local whisper, not cloud API) and Tiny Titan (MiniCPM5-1B). DROPPED Off-Brand and Modal only for the 6-item cap; both still valid. OpenBMB also valid but cut by cap." }, { "slug": "wpl-discovery", "matches": [ { "quest": "Off-Brand", "confidence": 0.55, "evidence": "Gradio 6 with Worcestershire County Council brand colours", "source": "readme" } ], "signal_profile": "readme_only", "audit": "Kept Off-Brand: README cites custom council brand colours over default Gradio. Dropped Backyard AI: track label, serves a whole county not a named person. Dropped Best Agent: query_tool is keyword/RAG routing, not tool-calling/loop. Dropped Field Notes: brief how-it-works blurb, no real write-up. No Off the Grid (Anthropic+HF cloud), no Tiny Titan (Qwen 32B)." }, { "slug": "The-Shrine", "matches": [ { "quest": "Thousand Token Wood", "confidence": 0.95, "evidence": "Build something delightful that wouldn't exist without AI", "source": "readme" }, { "quest": "Off-Brand", "confidence": 0.85, "evidence": "Custom Canvas + vanilla JS (60+ monologue phrases, 5 phases)", "source": "readme" } ], "signal_profile": "readme_only", "audit": "Kept Thousand Token Wood (README states track verbatim; delightful AI art). Kept Off-Brand (README: Custom Canvas + vanilla JS); lowered conf since canvas code absent from truncated app.py. Denied Off the Grid: README self-claims it but APP_FILE calls DashScope + OpenRouter cloud APIs. No Well-Tuned (badge-only) or Tiny Titan (Qwen2.5-7B)." }, { "slug": "octopus-ai", "matches": [ { "quest": "Off-Brand", "confidence": 0.9, "evidence": "mission-control dark palette, gr.HTML blocks, CSS-only animations", "source": "app_file" }, { "quest": "Well-Tuned", "confidence": 0.55, "evidence": "4 specialized arms trained with Structurally Adaptive Learning (SAL)", "source": "readme" }, { "quest": "Best Agent", "confidence": 0.45, "evidence": "structural brain and arms detect damage, reroute, and recover", "source": "readme" } ], "signal_profile": "both", "audit": "Kept Off-Brand: real custom dark palette, gr.HTML panels, CSS animations in APP_FILE. Kept Well-Tuned: README claims arms trained via SAL; conf lowered (no script). Kept Best Agent, tightened/lowered: brain routes arms, reroute/recover. DROPPED Thousand Token Wood: engineering demo, not art/whimsy. No Off the Grid: 7B open-weight but no local-load signal. No cloud API." }, { "slug": "VoiceGate", "matches": [ { "quest": "Off the Grid", "confidence": 0.8, "evidence": "all models loaded from local COMFY_DIR paths; ComfyUI on 127.0.0.1; no cloud API client", "source": "app_file" }, { "quest": "Tiny Titan", "confidence": 0.88, "evidence": "Qwen3-ASR-1.7B and Qwen3-ForcedAligner-0.6B model paths", "source": "app_file" } ], "signal_profile": "app_only", "audit": "Kept Off the Grid: models all from local COMFY_DIR paths, ComfyUI on 127.0.0.1, no openai/anthropic/gemini/cohere import; tightened evidence, confidence 0.8. Kept Tiny Titan: Qwen3-ASR-1.7B and 0.6B appear verbatim, both <=4B. Dropped potential OpenBMB: voxcpm/VoxCPM2 path present but no openbmb/ namespace or MiniCPM signal. No Off-Brand/Agent/Backyard evidence (UI truncated; generic README)." }, { "slug": "AI-Puppet-Theater", "matches": [ { "quest": "OpenBMB", "confidence": 0.97, "evidence": "OpenBMB model id: openbmb/MiniCPM5-1B", "source": "app_file" }, { "quest": "Tiny Titan", "confidence": 0.95, "evidence": "openbmb/MiniCPM5-1B names a 1B model", "source": "app_file" }, { "quest": "Off-Brand", "confidence": 0.94, "evidence": "CUSTOM_CSS overrides .gradio-container background", "source": "app_file" }, { "quest": "Thousand Token Wood", "confidence": 0.9, "evidence": "short interactive puppet shows from a user premise", "source": "readme" }, { "quest": "Off the Grid", "confidence": 0.6, "evidence": "BACKEND_CHOICES deterministic/openbmb, no cloud imports", "source": "app_file" } ], "signal_profile": "both", "audit": "Kept OpenBMB, Tiny Titan, Off-Brand, Thousand Token Wood, Off the Grid; all evidence present in cited segments. Dropped Best Agent: named functions are imported show-builder helpers, no visible tool-calling, planner, or multi-step loop in truncated source. Lowered Off the Grid to 0.6 (model unloaded, deterministic fallback, no cloud client visible). signal_profile stays both." }, { "slug": "LocalDuo", "matches": [ { "quest": "Tiny Titan", "confidence": 0.93, "evidence": "model_id = \"Qwen/Qwen3.5-2B\"", "source": "app_file" }, { "quest": "Off the Grid", "confidence": 0.8, "evidence": "AutoModelForImageTextToText loads Qwen via transformers; no cloud API imports", "source": "app_file" } ], "signal_profile": "app_only", "audit": "Read full 1903-char APP_FILE. KEPT Tiny Titan: active model_id Qwen/Qwen3.5-2B is 2B (9B commented out). KEPT Off the Grid: local transformers load, no openai/anthropic/genai/cohere imports. DROPPED Best Agent: code only imports playwright/BeautifulSoup/TTS plus stop flags; scripted browsing is not function-calling or a planner loop. README is templated HF stub, so app_only." }, { "slug": "PocketWorld-Studio", "matches": [ { "quest": "Thousand Token Wood", "confidence": 0.62, "evidence": "WORLD_THEMES cozy_fantasy, sci_fi_station, haunted_mystery with npc/item/landmark keys", "source": "app_file" } ], "signal_profile": "app_only", "audit": "KEPT Thousand Token Wood (tightened evidence, 0.75->0.62): playful multi-world studio with NPCs/items/landmarks is in APP_FILE, but no AI/LLM visible (static Kenney CC0 tile renderer, declared_models empty). README is HF boilerplate. Did NOT add Off-Brand (no gr.HTML/css visible) or Sharing (no download/gr.File). No model signals for other quests." }, { "slug": "voice-sales-logger", "matches": [ { "quest": "Backyard AI", "confidence": 0.9, "evidence": "Voice-driven sales logger for a produce vendor", "source": "readme" }, { "quest": "Modal", "confidence": 0.8, "evidence": "if not ON_SPACE: import modal", "source": "app_file" }, { "quest": "Off the Grid", "confidence": 0.58, "evidence": "transformers AutoModelForCausalLM + nemo.collections.asr; no cloud API", "source": "app_file" }, { "quest": "Off-Brand", "confidence": 0.45, "evidence": "from gradio_wizardcapture import WizardCapture (vendored component)", "source": "app_file" } ], "signal_profile": "both", "audit": "KEPT Backyard AI: README verbatim, real produce-vendor task (0.92>0.9). KEPT Modal: import present but gated by ON_SPACE (0.88>0.8). KEPT Off the Grid: transformers+NeMo loaded, no openai/anthropic/genai/cohere visible; trimmed 0.65>0.58 (APP_FILE truncated). ADDED Off-Brand low-conf: vendored WizardCapture component. DROPPED Nemotron candidate: generic NeMo RNNT, no named nvidia/Parakeet repo." }, { "slug": "wan2-2-fp8da-aoti-14B-fast", "matches": [ { "quest": "Off the Grid", "confidence": 0.75, "evidence": "diffusers WanImageToVideoPipeline + torchao loaded locally, no cloud API imports", "source": "app_file" }, { "quest": "Off-Brand", "confidence": 0.6, "evidence": "get_timestamp_js custom JS querySelector('#generated-video video')", "source": "app_file" } ], "signal_profile": "app_only", "audit": "KEPT Off the Grid: APP_FILE loads diffusers Wan i2v pipeline + torchao locally; no openai/anthropic/genai/cohere visible. Lowered 0.82->0.75 (file truncated). KEPT Off-Brand: custom get_timestamp_js JS present, beyond default Gradio. README templated HF link, no Field Notes. 'mcp-server' tag alone weak for Best Agent. Empty models + 14B title => no Tiny Titan." }, { "slug": "nutrilens", "matches": [ { "quest": "Off-Brand", "confidence": 0.92, "evidence": "CUSTOM_CSS with .nutrilens-report, .summary-card, .tip-card classes", "source": "app_file" }, { "quest": "Best Agent", "confidence": 0.72, "evidence": "identifies each ingredient, looks up USDA, finds PubMed studies", "source": "readme" } ], "signal_profile": "both", "audit": "KEEP Off-Brand: real CUSTOM_CSS classes in app_file. KEEP Best Agent (0.82->0.72): multi-step tools (VLM, USDA, PubMed lookups), fixed pipeline. DROP Backyard AI: targets \"anyone,\" no named person. DROP Field Notes: motivation/usage only, no build write-up. Not Off the Grid (HF cloud client) nor Tiny Titan (Qwen3.6-27B)." }, { "slug": "business-order-assistant", "matches": [ { "quest": "Modal", "confidence": 0.9, "evidence": "defaults to ...chat-query.modal.run endpoints called via requests", "source": "app_file" }, { "quest": "Off-Brand", "confidence": 0.95, "evidence": "CUSTOM_CSS terminal/amber, JetBrains Mono, #app-title and #sidebar", "source": "app_file" } ], "signal_profile": "app_only", "audit": "README is templated boilerplate, so app_only stands. KEPT Modal: real *.modal.run endpoints invoked via requests; no `import modal`, lowered to 0.90. KEPT Off-Brand: genuine CUSTOM_CSS, JetBrains Mono, amber/dark, bespoke #app-title/#sidebar. Tightened both evidence quotes. Skipped Tiny Titan (Qwen2.5-7B >4B), Off the Grid (model on Modal, not local), Field Notes, Best Agent." }, { "slug": "Kasualdad_LFED", "matches": [ { "quest": "Off the Grid", "confidence": 0.95, "evidence": "All inference via llama.cpp + local GGUF. No API calls. No cloud.", "source": "readme" }, { "quest": "Llama Champion", "confidence": 0.95, "evidence": "llama.cpp as the sole inference backend. Q4_K_M quantization.", "source": "readme" }, { "quest": "Well-Tuned", "confidence": 0.93, "evidence": "Fine-tuned Qwen2.5-Coder-7B on 1,200+ synthetic NL→SQL pairs via Unsloth QLoRA", "source": "readme" }, { "quest": "Off-Brand", "confidence": 0.75, "evidence": "Custom design system (Linear/Vercel inspired), WCAG AA, Inter + JetBrains Mono", "source": "readme" }, { "quest": "Backyard AI", "confidence": 0.85, "evidence": "school district admin (principal, superintendent, department head) types a question", "source": "readme" }, { "quest": "Modal", "confidence": 0.7, "evidence": "Fine-tuned ... via Unsloth QLoRA on Modal A10G", "source": "readme" } ], "signal_profile": "both", "audit": "All 6 quotes verified in README badge table / What It Does. APP_FILE confirms llama.cpp (docstring), DuckDB, gradio+spaces; NO openai/anthropic/google/cohere, so Off the Grid stands. Tiny Titan correctly absent (7B). Lowered Off-Brand to 0.75 (badge self-claim, no CSS in truncated app.py) and Modal to 0.70 (single training mention)." }, { "slug": "thousand-token-wood-sim", "matches": [ { "quest": "Thousand Token Wood", "confidence": 0.99, "evidence": "Five woodland creatures... trade goods for pebbles, gossip, scheme, and panic", "source": "readme" }, { "quest": "Well-Tuned", "confidence": 0.97, "evidence": "ttw-trader-0.5b (fine-tuned)... distilled from a 3B teacher", "source": "readme" }, { "quest": "OpenBMB", "confidence": 0.96, "evidence": "Bramble (squirrel) | MiniCPM3-4B | OpenBMB", "source": "readme" }, { "quest": "Nemotron", "confidence": 0.96, "evidence": "Fenn (fox) | Nemotron-Mini-4B | NVIDIA", "source": "readme" }, { "quest": "Modal", "confidence": 0.95, "evidence": "served with vLLM on Modal; modal deploy serve.py", "source": "readme" }, { "quest": "Field Notes", "confidence": 0.9, "evidence": "Field notes: Hugging Face article | Medium", "source": "readme" } ], "signal_profile": "both", "audit": "All 6 first-pass matches verified; KEPT 5 (TTW, Well-Tuned, OpenBMB, Nemotron, Field Notes) with tightened quotes. DROPPED Sharing is Caring (valid but lower-value) to ADD Modal, clearer and also in APP_FILE (ModalLLM, modal deploy serve.py). Off the Grid not awarded: Modal cloud, not local. Tiny Titan plausible but cast has gpt-oss-20b; capped at 6." }, { "slug": "memrl-canvas", "matches": [ { "quest": "Off the Grid", "confidence": 0.76, "evidence": "transformers AutoModelForCausalLM load, no cloud API client", "source": "app_file" }, { "quest": "Off-Brand", "confidence": 0.5, "evidence": "mounts StaticFiles and FileResponse for a custom frontend", "source": "app_file" } ], "signal_profile": "app_only", "audit": "KEEP Off the Grid: transformers AutoModelForCausalLM present, no cloud client visible; conf trimmed (no model name, truncated). FIX Off-Brand: bare gradio Server import weak; re-anchored to StaticFiles/FileResponse frontend. DROP Best Agent: episodic_memory/q_value is a seeded SQLite lookup, no loop/tool-call visible, so RL agent loop is speculative. README is HF boilerplate." }, { "slug": "roast-my-repo", "matches": [ { "quest": "Off-Brand", "confidence": 0.93, "evidence": "custom terminal CSS, JetBrains Mono, scanline overlay effect", "source": "app_file" }, { "quest": "OpenBMB", "confidence": 0.95, "evidence": "MiniCPM4-8B (openbmb/MiniCPM4-8B) (OpenBMB)", "source": "readme" }, { "quest": "Modal", "confidence": 0.95, "evidence": "MiniCPM4-8B via vLLM on Modal, Modal A10G GPU", "source": "readme" }, { "quest": "Backyard AI", "confidence": 0.7, "evidence": "final-year CS students wanting honest feedback on GitHub portfolio before jobs", "source": "readme" }, { "quest": "Thousand Token Wood", "confidence": 0.55, "evidence": "brutal, funny critique; tells you what your friends won't", "source": "readme" }, { "quest": "Sharing is Caring", "confidence": 0.5, "evidence": "Generated README you can copy and use immediately", "source": "readme" } ], "signal_profile": "both", "audit": "All 5 verified. KEEP Off-Brand (app_file CSS present), OpenBMB, Modal (exact readme). Backyard AI lowered to 0.7 (broad persona, not one named person). Thousand Token Wood kept 0.55 (roast whimsy real but core is a utility). ADDED Sharing is Caring 0.5 (copyable generated README). Confirmed NO Tiny Titan (8B) and NO Off the Grid (Modal cloud + OpenAI endpoint + Groq)." }, { "slug": "tiny-dispatch-coach", "matches": [], "signal_profile": "none", "audit": "Dropped Backyard AI: label-echo for a generic segment (delivery teams), not a named person. Off the Grid not awarded: shipped app is a deterministic offline planner with NO model loaded; MiniCPM/Llama-via-llama.cpp is only a future swap, declared_models empty, no runtime/cloud API. Llama Champion/Tiny Titan/OpenBMB rest on that conditional mention. No frontend/agent/finetune signals." }, { "slug": "dm-order-desk", "matches": [ { "quest": "Off the Grid", "confidence": 0.9, "evidence": "AutoModelForCausalLM.from_pretrained(MODEL_ID), local transformers", "source": "app_file" }, { "quest": "Tiny Titan", "confidence": 0.97, "evidence": "Model: Qwen/Qwen2.5-1.5B-Instruct, about 1.5B", "source": "readme" }, { "quest": "Backyard AI", "confidence": 0.62, "evidence": "designed for home bakers, farmers market vendors, WhatsApp sellers", "source": "readme" } ], "signal_profile": "both", "audit": "Both fields truncated. KEPT Off the Grid: local transformers/torch loads Qwen2.5-1.5B, no cloud client visible; trimmed conf. KEPT Tiny Titan: README names Qwen2.5-1.5B (~1.5B), verbatim. KEPT Backyard AI at 0.62: targets persona categories not one named person (Maya/Sam are customers). No fine-tune, custom UI, export, llama.cpp, Modal, OpenBMB, Nemotron, or agent loop evident." }, { "slug": "neighbourhood-guide", "matches": [ { "quest": "Llama Champion", "confidence": 0.95, "evidence": "from llama_cpp import Llama; LLAMA_CPP_FILE *Q4_K_M.gguf", "source": "app_file" }, { "quest": "Backyard AI", "confidence": 0.85, "evidence": "Backyard AI track: solve a real problem for someone you know", "source": "readme" }, { "quest": "Tiny Titan", "confidence": 0.85, "evidence": "Tiny Aya 3.35B, MagpieTTS 357M, Cohere Transcribe 2B", "source": "readme" }, { "quest": "Off the Grid", "confidence": 0.75, "evidence": "llama_cpp GGUF + LM Studio local server, no cloud SDK", "source": "app_file" } ], "signal_profile": "both", "audit": "KEPT Llama Champion (literal import + *Q4_K_M.gguf). KEPT Backyard AI, trimmed 0.85 (group not named person). KEPT Tiny Titan: 3 models all <=4B (3.35B max). KEPT Off the Grid 0.75: llama.cpp/GGUF + local LM Studio; no cloud SDK (Cohere is open-weight). DROPPED Off-Brand: Catpuccin theme is a docstring comment, not real CSS code." }, { "slug": "wonderland", "matches": [ { "quest": "Nemotron", "confidence": 0.97, "evidence": "MODEL_ID = \"nvidia/NVIDIA-Nemotron-3-Nano-4B-BF16\"", "source": "app_file" }, { "quest": "Tiny Titan", "confidence": 0.94, "evidence": "Nemotron 3 Nano 4B (~4B params)", "source": "app_file" }, { "quest": "Off the Grid", "confidence": 0.9, "evidence": "running fully locally; AutoModelForCausalLM, no cloud API", "source": "app_file" }, { "quest": "Thousand Token Wood", "confidence": 0.93, "evidence": "A tiny text adventure; the forgetting is the game", "source": "app_file" } ], "signal_profile": "app_only", "audit": "KEPT 4. Nemotron: exact nvidia/...Nemotron MODEL_ID. Tiny Titan: active model is real 4B Nano (ignored aspirational 30B comment). Off the Grid: local transformers, no cloud API. TTW: text-adventure framing. Did NOT add Llama Champion (GGUF only an aspirational comment; real load is BF16 transformers, no llama_cpp), Best Agent ('agentic' marketing), Field Notes (README boilerplate). app_only." }, { "slug": "awaaz", "matches": [ { "quest": "Off the Grid", "confidence": 0.78, "evidence": "transformers AutoModelForCausalLM load, no openai/anthropic client", "source": "app_file" }, { "quest": "Backyard AI", "confidence": 0.85, "evidence": "dub into the natural Hindi mix your family actually uses", "source": "readme" } ], "signal_profile": "both", "audit": "KEPT Off the Grid: app_file loads transformers AutoModelForCausalLM, no cloud LLM client visible (Edge TTS is free TTS); conf lowered since APP_FILE truncated. KEPT Backyard AI: README frames concrete household problem; re-anchored off bare track-tag line. DROPPED Field Notes: short pipeline list is a blurb, not a substantial build write-up. No Tiny Titan (Qwen 7B, over 4B)." }, { "slug": "karim-lab", "matches": [], "signal_profile": "none", "audit": "Dropped Backyard AI: quote is real but persona is \"a lawyer\" (generic profession, not a named person/household task), so the bar fails; in doubt, drop. No other quest holds: app is deterministic regex with NO model (\"does not call a hosted LLM yet\"), so Off the Grid fails. llama.cpp/Modal/Field Notes only PLANNED. declared_models empty (no Tiny Titan). Plain gradio, no theming/agent loop." }, { "slug": "trace-field-notes", "matches": [ { "quest": "OpenBMB", "confidence": 0.95, "evidence": "openbmb/MiniCPM5-1B pass by default", "source": "readme" }, { "quest": "Nemotron", "confidence": 0.95, "evidence": "nvidia/NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 for deeper analysis", "source": "readme" }, { "quest": "Tiny Titan", "confidence": 0.9, "evidence": "quick openbmb/MiniCPM5-1B pass by default", "source": "readme" }, { "quest": "Off-Brand", "confidence": 0.93, "evidence": "custom React field-notebook UI served by gradio.Server", "source": "readme" } ], "signal_profile": "both", "audit": "All 4 verified as literal README quotes, KEPT. Tiny Titan trimmed to 0.9 (MiniCPM5-1B=1B, but a 30B is also used; default pass is the 1B). Dropped adds: Field Notes (name is a false-friend; README is architecture not a devlog), Best Agent (analyzes traces, no agent loop itself), Sharing is Caring (no export found), Off the Grid (ZeroGPU; openai/ ambiguous)." }, { "slug": "Structured-Data-Rescuer", "matches": [ { "quest": "Off-Brand", "confidence": 0.9, "evidence": "custom_css with .hero-container, .primary-btn, .feedback-card styles", "source": "app_file" } ], "signal_profile": "app_only", "audit": "KEPT Off-Brand: substantial custom_css block (.hero-container, .primary-btn, .feedback-card) beyond default Gradio; findable in app_file. DROPPED Off the Grid (remote InferenceClient, not local), Tiny Titan (Llama-3.1-8B >4B), Llama Champion (no llama.cpp/GGUF), Sharing is Caring (csv/tempfile hint but no download button visible, truncated). README is boilerplate, so app_only." }, { "slug": "Council-of-Tiny-Minds", "matches": [ { "quest": "Off the Grid", "confidence": 0.82, "evidence": "transformers Auto* loaded via from_pretrained; no cloud API imports", "source": "app_file" }, { "quest": "Thousand Token Wood", "confidence": 0.85, "evidence": "personas: Mister Wink, Goblin Clerk, Oracle Beta, The Skeptic", "source": "app_file" } ], "signal_profile": "app_only", "audit": "Kept both. Off the Grid: transformers loaded via from_pretrained, no openai/anthropic/google/cohere imports. Thousand Token Wood: four playful personas present verbatim. Did NOT add Tiny Titan despite \"Tiny Minds\" title - default MODEL_ID is Qwen/Qwen3.5-9B (9B>4B), a name-trap. No Best Agent: no tool/orchestration visible (app truncated). README is a templated stub." }, { "slug": "blind-quill", "matches": [ { "quest": "Off-Brand", "confidence": 0.96, "evidence": "bespoke literary frontend \"The Invisible Bindery\", lives in web/, served by gradio.Server", "source": "readme" }, { "quest": "Thousand Token Wood", "confidence": 0.92, "evidence": "hidden-canon story grafting game; idea stitched into the story", "source": "readme" }, { "quest": "Tiny Titan", "confidence": 0.9, "evidence": "Qwen/Qwen3.5-2B", "source": "readme" }, { "quest": "Off the Grid", "confidence": 0.76, "evidence": "slow local (CPU/MPS) runs show real progress", "source": "app_file" } ], "signal_profile": "both", "audit": "KEPT Off-Brand (custom React frontend in web/ via gradio.Server). KEPT Thousand Token Wood (story-grafting game). KEPT Tiny Titan (Qwen3.5-2B=2B). FIXED Off the Grid: evidence trimmed to app_file-only CPU/MPS line; no cloud API in APP_FILE; conf lowered (Qwen is README). DROPPED Field Notes: module list, not a build write-up." }, { "slug": "receipt_scanner", "matches": [ { "quest": "OpenBMB", "confidence": 0.98, "evidence": "MODEL_ID = \"openbmb/MiniCPM-V-4.6\"", "source": "app_file" }, { "quest": "Off the Grid", "confidence": 0.85, "evidence": "transformers AutoModelForImageTextToText loads openbmb/MiniCPM-V-4.6; no cloud API imports", "source": "app_file" } ], "signal_profile": "app_only", "audit": "KEPT OpenBMB: MODEL_ID=\"openbmb/MiniCPM-V-4.6\" is verbatim. KEPT Off the Grid (0.92->0.85): local transformers load, no openai/anthropic/gemini/cohere imports; lowered since APP_FILE is truncated. README is templated HF stub, so app_only. No missed quests: no custom theme, empty README, single prompt (no agent loop), MiniCPM-V-4.6 ~8B not Tiny Titan." }, { "slug": "smol-town", "matches": [ { "quest": "Thousand Token Wood", "confidence": 0.95, "evidence": "town of tiny AI minds gossiping, feuding, falling in love", "source": "readme" }, { "quest": "Off the Grid", "confidence": 0.93, "evidence": "No cloud APIs. No giant model. Every mind runs locally", "source": "readme" }, { "quest": "Off-Brand", "confidence": 0.85, "evidence": ".gradio-container{background:#1c1714;} custom .feed CSS", "source": "app_file" }, { "quest": "Best Agent", "confidence": 0.5, "evidence": "Each is its own small-model agent that improvises", "source": "readme" } ], "signal_profile": "both", "audit": "KEPT Thousand Token Wood (whimsy; source->readme). KEPT Off the Grid: no proprietary cloud client; OLLAMA is local, ZeroGPU in-process. KEPT Off-Brand: custom CSS/portrait theming. DROPPED Tiny Titan: declared_models empty; only model named is qwen3:14b (>4B); <=4B badge is marketing, MiniCPM \"later\". KEPT Best Agent 0.5: multi-agent loop, no visible tool calls." }, { "slug": "oneiros", "matches": [ { "quest": "Llama Champion", "confidence": 0.96, "evidence": "Qwen2.5-7B-Instruct (GGUF) via llama-cpp-python", "source": "readme" }, { "quest": "Off the Grid", "confidence": 0.91, "evidence": "tanpa API LLM pihak ketiga (no third-party LLM API)", "source": "readme" }, { "quest": "Off-Brand", "confidence": 0.84, "evidence": "imports CSS_ONEIROS and tema_oneiros (custom theme)", "source": "app_file" }, { "quest": "Thousand Token Wood", "confidence": 0.82, "evidence": "track An Adventure in Thousand Token Wood; dreams to SVG", "source": "readme" } ], "signal_profile": "both", "audit": "Kept Llama Champion (import llama_cpp + GGUF wheel). Kept Off the Grid: no cloud LLM client; 'on our servers' = local model on Space. Kept Off-Brand (CSS_ONEIROS+tema_oneiros imports). Kept Thousand Token Wood (track verbatim, dream-to-SVG). DROPPED Field Notes: Day1/Day2 status table + deploy links are ops docs, not a build write-up/devlog. No Tiny Titan (7B>4B)." }, { "slug": "oracle-ternary-flame", "matches": [ { "quest": "Well-Tuned", "confidence": 0.97, "evidence": "PeftModel.from_pretrained loads keypa/oracle-gemma4-12b-lora adapter", "source": "app_file" }, { "quest": "Off-Brand", "confidence": 0.95, "evidence": "large bespoke CSS, gr.HTML headers, demo.launch(css=CSS)", "source": "app_file" }, { "quest": "Thousand Token Wood", "confidence": 0.85, "evidence": "Oracle of the Ternary Flame, cryptic cosmic prose, never break character", "source": "app_file" }, { "quest": "Off the Grid", "confidence": 0.7, "evidence": "local transformers + peft load, no proprietary cloud API imports", "source": "app_file" } ], "signal_profile": "app_only", "audit": "Verified against full app_source in corpus (input APP_FILE truncated). KEPT all three: LoRA via PeftModel, oracle persona, local transformers/peft with no cloud API. Off the Grid 0.65->0.7. ADDED Off-Brand (heavy custom CSS, gr.HTML, css=CSS). Did NOT add Tiny Titan (Gemma 4 12B). No agentic/sharing/Modal/Nemotron/llama.cpp. README boilerplate, so app_only." }, { "slug": "Retail-Insight-AI", "matches": [ { "quest": "Backyard AI", "confidence": 0.7, "evidence": "local shopkeepers ko enterprise-level operational insights deta hai", "source": "readme" } ], "signal_profile": "readme_only", "audit": "Dropped Off the Grid: app loads NO model (only gradio/pandas/os); insights are rule-based string templates, so the no-cloud claim is absence of AI, not a local model load. Kept Backyard AI: README is in the Backyard AI Track with a concrete persona+task (local shopkeepers, ops insights), evidence verbatim. Lowered conf to 0.7 (persona is a category). readme_only: APP_FILE has no quest signal." }, { "slug": "family-care-asr-eval", "matches": [ { "quest": "Well-Tuned", "confidence": 0.88, "evidence": "published Akan fine-tune for the Well-Tuned badge", "source": "readme" }, { "quest": "Off the Grid", "confidence": 0.83, "evidence": "transformers AutoProcessor/Wav2Vec2ForCTC loaded locally, no cloud API", "source": "app_file" }, { "quest": "Tiny Titan", "confidence": 0.92, "evidence": "parameter_count 1B and 0.2B, all small models", "source": "app_file" }, { "quest": "Backyard AI", "confidence": 0.8, "evidence": "tests real Twi, Fante, Ghanaian English family recordings", "source": "readme" } ], "signal_profile": "both", "audit": "KEPT Well-Tuned (verbatim README fine-tune line; model used in registry), Off the Grid (only local transformers from_pretrained; no openai/anthropic/gemini/cohere; trimmed for truncation), Tiny Titan (1B/0.2B <=4B), Backyard AI (family-caregiving recordings task). DROPPED Field Notes: README is test protocol + voting how-to, not a build write-up/lessons-learned; borderline so dropped." }, { "slug": "Backyard-Demo-Builder", "matches": [ { "quest": "Off-Brand", "confidence": 0.78, "evidence": "Fully custom CSS dark theme — Archivo + IBM Plex Mono, acid green CTAs", "source": "readme" }, { "quest": "Backyard AI", "confidence": 0.93, "evidence": "my mom, a real-estate agent; cheap way to test follow-up reminder workflow", "source": "readme" }, { "quest": "Sharing is Caring", "confidence": 0.85, "evidence": "downloadable demo package: files you can inspect, unzip, run, and test", "source": "readme" }, { "quest": "Best Agent", "confidence": 0.5, "evidence": "agent-swarm-workbench generates app, spec, field notes, and checks", "source": "readme" } ], "signal_profile": "readme_only", "audit": "Kept Off-Brand, Backyard AI, Sharing is Caring (all in README). DROPPED Nemotron: only in declared_models, not README/APP_FILE; app_file cite wrong. DROPPED Field Notes: cited notes are a generated output, not a build write-up. Best Agent kept low: name+tags only. Not added: Off the Grid (openrouter cloud default), Tiny Titan (7B/12B too big)." }, { "slug": "code-shrink-token-decimator", "matches": [ { "quest": "Field Notes", "confidence": 0.5, "evidence": "README writes up the Bottleneck (LLM Context Inflation) and the Engine (AST framework)", "source": "readme" } ], "signal_profile": "readme_only", "audit": "KEPT Field Notes, tightened evidence: README is a genuine custom write-up (problem/engine/features), not templated, but pitch-flavored with a TikTok demo not a devlog, so lowered to 0.5. Did NOT add Off the Grid: 'runs on local lightweight models' is marketing; APP_FILE has only ast/re/gradio, no model load. No Tiny Titan (no model). Profile stays readme_only." }, { "slug": "briefing-32", "matches": [ { "quest": "Backyard AI", "confidence": 0.95, "evidence": "personal cron that already runs every two hours on the maker's laptop", "source": "readme" }, { "quest": "Field Notes", "confidence": 0.7, "evidence": "honest story... split the single 70B scoring pass into two cheaper passes", "source": "readme" } ], "signal_profile": "readme_only", "audit": "KEPT Backyard AI: README frames track + a real personal 2-hourly news cron; verbatim. KEPT Field Notes (0.82->0.7): 'honest story' block is a real build write-up on the 70B->two-pass-32B tradeoff. DROPPED Best Agent: linear fetch->filter->rank->render scoring passes, no tools/planning/loop. Not Off the Grid (Qwen3-32B via HF Inference Providers cloud) or Tiny Titan (32B)." }, { "slug": "pawmap", "matches": [ { "quest": "Nemotron", "confidence": 0.85, "evidence": "Nemotron Omni via NVIDIA NIM (tem precedência)", "source": "readme" }, { "quest": "Off-Brand", "confidence": 0.92, "evidence": "Custom frontend via gradio.Server", "source": "app_file" } ], "signal_profile": "both", "audit": "KEPT Nemotron: README cites Nemotron Omni via NVIDIA NIM as primary path; 0.9->0.85 (config only). KEPT Off-Brand: docstring + code use gradio.Server, FastAPI mounts, HTMLResponse. DROPPED Backyard AI: evidence is just the track label + anyone; public map, no named persona. No adds: cloud APIs kill Off the Grid; serverless not llama.cpp; 11B not Tiny." }, { "slug": "GRM-2.6-Opus", "matches": [ { "quest": "Off the Grid", "confidence": 0.85, "evidence": "loads OrionLLM/GRM-2.6-Opus via AutoModelForCausalLM, no cloud API imports", "source": "app_file" } ], "signal_profile": "app_only", "audit": "KEPT Off the Grid: APP_FILE loads OrionLLM/GRM-2.6-Opus via AutoModelForCausalLM+BitsAndBytesConfig; only transformers/gradio/spaces/torch imports, no cloud client. DROPPED Best Agent (PLACEHOLDER 'terminal-agent' just describes prompts; plain chat, no tools), Tiny Titan (no <=4B name), Off-Brand (no verifiable custom UI), Field Notes (notes too terse). app_only." }, { "slug": "CodeFlow", "matches": [ { "quest": "Llama Champion", "confidence": 0.97, "evidence": "from llama_cpp import Llama", "source": "app_file" }, { "quest": "Off the Grid", "confidence": 0.88, "evidence": "llama_cpp Llama + hf_hub_download GGUF; no openai/anthropic clients", "source": "app_file" }, { "quest": "Off-Brand", "confidence": 0.7, "evidence": "HTMLResponse serve the custom frontend from a route", "source": "app_file" } ], "signal_profile": "app_only", "audit": "All 3 verified in full APP_FILE, KEPT. Llama Champion: import present. Off the Grid: local llama.cpp + hf_hub_download GGUF, no cloud API clients; 0.9->0.88. Off-Brand: gradio Server + FastAPI HTMLResponse route + 'custom gradio look'; 0.82->0.7 (HTML truncated). Not added: Tiny Titan (only future 'Qwen 30b'), Best Agent, Field Notes (bare HF template). README has no signals -> app_only." }, { "slug": "borderless", "matches": [ { "quest": "Best Agent", "confidence": 0.95, "evidence": "The model plans multi-step research and calls tools", "source": "readme" }, { "quest": "Off-Brand", "confidence": 0.85, "evidence": "app_css read from app.css; globe_head_html injected into head", "source": "app_file" } ], "signal_profile": "both", "audit": "KEPT Best Agent: README says model plans multi-step research and calls tools (0.97->0.95). KEPT Off-Brand: APP_FILE injects custom app.css + globe_head_html into head. DROPPED Field Notes: product how-it-works text, not a build devlog/lessons. DROPPED Backyard AI: generic \"you\", no named person. Off the Grid not added: 27B open-weight but APP_FILE shows only UI, no load or cloud API." }, { "slug": "quran-stt", "matches": [ { "quest": "Off the Grid", "confidence": 0.83, "evidence": "NeMo ASR model restore_from .nemo on CPU; no cloud API", "source": "app_file" }, { "quest": "Well-Tuned", "confidence": 0.6, "evidence": "loads fastconformer-quran-ar phase3_full_wer0.0014 (fine-tuned)", "source": "app_file" } ], "signal_profile": "app_only", "audit": "KEPT Off the Grid: APP_FILE loads NeMo ASR via restore_from on CPU, no cloud client; tightened evidence, 0.83 (truncated). DROPPED Backyard AI: no named person/persona, general tool, README is boilerplate. ADDED Well-Tuned: phase3-fine-tuned FastConformer. Skipped Nemotron (repo mohammed/, not nvidia/) and Tiny Titan (no size). app_only: README empty." }, { "slug": "dream-museum", "matches": [ { "quest": "Thousand Token Wood", "confidence": 0.96, "evidence": "Thousand Token Wood track; Draw a dream, Watch it materialize", "source": "readme" }, { "quest": "Off-Brand", "confidence": 0.85, "evidence": "gr.HTML with custom