reality-divergence / ROADMAP.md
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Add speculative badge to results + v2 ROADMAP
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Reality Divergence β€” v2 Roadmap

The hackathon build is intentionally lean: two explicit tabs, schema-driven generation, validation + fallbacks, and one atmospheric image per result. This document parks the larger routed, schema-driven architecture as the post- hackathon direction. Nothing here is required for the current submission.

Guiding idea

Move from "two fixed tabs" to a router β†’ policy gate β†’ prompt picker β†’ structured generation β†’ validation β†’ renderer pipeline. Routing is decided in code, never by the model picking its own route.

Where we already are (β‰ˆ55% of the target)

Target capability Status
Schema-driven structured generation βœ… done (prompts.py + parsing in app.py)
Per-intent output schemas βœ… done (timeline β‰ˆ reflection; world β‰ˆ alt-history/fork)
Validation + never-crash fallback βœ… done (safe_int/str/list, curated fallbacks)
Timeline / branch renderer βœ… done (HTML spine, better/worse, winners/losers)
Safety guardrail (personal tab) βœ… done (risk gate + 988 notice)
Uncertainty framing 🟑 in prompts + a "speculative" badge; no per-claim tagging
Prompt picker 🟑 by tab, not by router (2 routes, not 9)
Intent router + confidence + clarification ❌ not built
Tone/mode selectors, confidence indicator ❌ not built
Streaming staged output ❌ not built
Conversational follow-up (turn-taking) 🟑 reflection question shown statically

v2 backlog (priority order)

  1. Intent router β€” one lightweight model (or rules) call classifying input into a taxonomy: personal_regret, alternate_history, event_counterfactual, global_shock, regional_disaster, civilizational_fork, comparison, creative_weird, mixed. Returns primary_intent, secondary_intents, confidence, needs_clarification, divergence_scale, tone, image_policy.
  2. Policy gate β€” below a confidence threshold (~0.72) ask one clarifying question instead of generating; decide allowed output type.
  3. Per-claim epistemic tagging β€” tag statements certain | speculative | assumption; render badges; downgrade tone when the model is over-confident.
  4. Image policy β€” generate images only for creative_weird / explicit visual requests, not for reflective/uncertain output. (Current build always shows one decorative banner β€” revisit.)
  5. Single prompt box + mode/tone selectors + confidence indicator to replace the two-tab split.
  6. Streaming the response in stages (intent β†’ structure β†’ text β†’ timeline β†’ image) so it feels fast.
  7. Retry-once on schema-validation failure before falling back.
  8. Strict validation via Pydantic/JSON-schema instead of the current safe_* coercion.

Known design tensions to decide in v2

  • Images: v2 spec says default-off, artifact-only. Current build shows one text-free atmospheric banner per result (decorative, not informational).
  • Visual style: v2 spec favors restraint ("no chaotic gradients, reflective instrument"). Current build uses an animated gradient hero for impact.

Reference

Architecture spec drafted from the Build Small field guide constraints and a prompt-routing / structured-output design pass (June 2026).