autoresearch
Run Karpathy-style autoresearch optimization on any content. Generates 50+ variants, scores with a 5-expert simulated panel, evolves winners through multiple rounds, outputs optimized version + full experiment log. Use when optimizing landing pages, email sequences, ad copy, headlines, form pages, CTA text, or any conversion-focused content. Triggers on "optimize this page", "run autoresearch", "score these variants", "A/B test this copy".
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GitHub хранилище- Звезди на репото
- 3559
- Лиценз
- MIT
- Последна проверка на записа
- 22.09.2026 г.
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Autoresearch Skill
Karpathy-style optimization loops for any conversion-focused content. No traffic needed. Simulated expert panel. Minutes, not weeks.
When to use this: Pre-launch content optimization. Generate 50+ variants, score with 5 simulated experts, evolve winners, output the best version + full experiment log.
When NOT to use this: Post-launch real-traffic A/B testing — that requires real analytics, not simulated scoring.
The sequence: Run autoresearch FIRST to hit 85+ simulated score. Then deploy. Then validate with real traffic.
What You'll Produce
Every run outputs 3 files:
| File | Purpose |
|---|---|
{name}-optimized.{ext} | The winning optimized content |
data/{name}-experiments.json | Full experiment log — all variants + all scores |
data/{name}-optimization-report.md | Human-readable summary with winner rationale |
Expert Panel (5 Personas)
Score every variant against all 5. Batch all variants into a single API call per round.
| # | Persona | Scoring Lens |
|---|---|---|
| 1 | CMO at a mid-market B2B company (50M+ revenue) | "Would this make me stop and engage?" |
| 2 | Skeptical founder | "Do I believe this? Would I trust this company?" |
| 3 | Conversion rate optimizer | "Is this clear, specific, and action-driving?" |
| 4 | Senior copywriter | "Is this compelling, differentiated, and well-crafted?" |
| 5 | Your CEO/founder | "Direct, ROI-obsessed, no BS. Would I put this on my site?" |
Customization: Replace persona #5 with your own CEO/founder voice. Define their priorities and communication style in a
references/founder-voice.mdfile.
Each judge scores 0–100. Final score = average across all 5 judges.