GPT

Phase 2 — Focus (critic On)

Phase 2 — Focus (critic on) After all branches return: 1. Score. Rate each idea on three axes 0 to 10: novelty (distance from the obvious default), viability (could it actually ship), fit (does it address the stated

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### Phase 2 — Focus (critic on)

After all branches return:

1. **Score.** Rate each idea on three axes 0 to 10: novelty (distance from
 the obvious default), viability (could it actually ship), fit (does it
 address the stated problem). For any idea that looks attractive but is
 a trap (hidden cost, false economy, will not scale, premature
 abstraction), flag it with a one-line reason.

2. **Cluster.** Group ideas into 3 to 6 clusters by their underlying angle,
 not by surface keywords. Label clusters by angle: "remove the server
 plays", "cache-shaped plays", "batched-window plays", "race-multiple-
 backends plays".

3. **Deepen the top 3.** Rank by weighted score (novelty 0.35 + viability
 0.40 + fit 0.25), exclude traps, take top 3. For each, spawn one Agent
 call that produces:
 - a 4 to 8 sentence sketch of how the idea works
 - the load-bearing risk
 - the first concrete step a builder would take
 - 3 to 5 child ideas (variations, hybrids, unlocks)

 Deepen Agent instruction:

 > You are in FOCUS mode. Take one promising idea and connect dots.
 > Sketch how it would actually work in 4 to 8 sentences. Name the
 > load-bearing risk. Name the first concrete step a coder would take.
 > Then generate 3 to 5 sub-ideas that branch off (variations,
 > combinations with other domains, things this unlocks).
 > Output JSON only.

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