Update README.md

README.md

@@ -46,20 +46,20 @@ Available for download in the repo folder. [Here](https://huggingface.co/webxos/
 
 ## Key Features of Micro Distillery v2.5
 
-- • In-Browser Training Pipeline: It fetches open text datasets (like Andrej Karpathy's names.txt), counts character pairs to build a 27×27 transition table, and optimizes the paths using a basic, rule-based reinforcement loop.
-- • Fan-Out NLP Polish (v2): The app includes a post-processing dashboard where you can hook up external text APIs. It features daily quota tracking for MyMemory (for translation/paraphrasing), Datamuse integration for lexical scoring, and configuration toggles for LanguageTool grammar checkers.
-- • Jev Code (Nous Deterministic Layer): It features a local, network-free code harness modal. It simulates a strict, token-by-token code prediction pipeline (tokenize → context → candidates → score → select → validate) with a built-in user confirmation popup before accepting predictions.
-- • Hugging Face Bundler: Once you are done experimenting in the browser, the app automatically generates a complete, standards-compliant .zip bundle. This bundle includes everything needed to host the project on Hugging Face: the structural configurations (config.json, vocab.json), interactive Python test wrappers (test.py), a formatted model card (README.md), and even pipeline architecture vector diagrams (pipeline.svg).
-- • Safe State Guards: To keep the browser from freezing during asynchronous tasks, the app implements strict mutual exclusion locks (state.training and state.fetching) to ensure data pulling and model training never overlap and crash the tab.
+- **In-Browser Training Pipeline:** It fetches open text datasets (like Andrej Karpathy's names.txt), counts character pairs to build a 27×27 transition table, and optimizes the paths using a basic, rule-based reinforcement loop.
+- **Fan-Out NLP Polish (v2):** The app includes a post-processing dashboard where you can hook up external text APIs. It features daily quota tracking for MyMemory (for translation/paraphrasing), Datamuse integration for lexical scoring, and configuration toggles for LanguageTool grammar checkers.
+- **Jev Code (Nous Deterministic Layer):** It features a local, network-free code harness modal. It simulates a strict, token-by-token code prediction pipeline (tokenize → context → candidates → score → select → validate) with a built-in user confirmation popup before accepting predictions.
+- **Hugging Face Bundler:** Once you are done experimenting in the browser, the app automatically generates a complete, standards-compliant .zip bundle. This bundle includes everything needed to host the project on Hugging Face: the structural configurations (config.json, vocab.json), interactive Python test wrappers (test.py), a formatted model card (README.md), and even pipeline architecture vector diagrams (pipeline.svg).
+- **Safe State Guards:** To keep the browser from freezing during asynchronous tasks, the app implements strict mutual exclusion locks (state.training and state.fetching) to ensure data pulling and model training never overlap and crash the tab.
 
 
 ## Inference-Time Plugins (The Fan-Out Layout)
 
 When testing generations inside the browser UI, the app activates an optional Fan-out NLP Polish Layer. This architectural hook routes the model's generated text strings through external APIs to demonstrate post-inference filtering:
 
-- • LanguageTool Integration: Proxies text to api.languagetool.org or a self-hosted Docker endpoint to run live grammar checks.
-- • MyMemory Paraphrasing: Routes text to a translation endpoint to run round-trip phrasing passes while tracking daily rate limits in the UI.
-- • Datamuse Lexical Cache: Queries a vocabulary API to compute dictionary validity scores. The app saves these scores in a local JavaScript dictionary cache to minimize network calls
+- **LanguageTool Integration:** Proxies text to api.languagetool.org or a self-hosted Docker endpoint to run live grammar checks.
+- **MyMemory Paraphrasing:** Routes text to a translation endpoint to run round-trip phrasing passes while tracking daily rate limits in the UI.
+- **Datamuse Lexical Cache:** Queries a vocabulary API to compute dictionary validity scores. The app saves these scores in a local JavaScript dictionary cache to minimize network calls
 
 ## CHANGE LOG — Updated 2026-10-25