Agent Tuning, using recursion to achieve predictable agent output
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HN · launched Apr 9, 2026 · 5 upvotes (top 89%) · 0 views
Niche: ai agent development platforms · 598 launches, 22 in the last 7 days ▼ -29% · Explore this niche →
Category and tags
- Horizontal
- Agent / copilot
- Developer
- AI-native
- Commercial product
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More like this: all 598 launches in ai agent development platforms →
Could you build this?
Yes A recursive prompt-chaining and evaluation framework to refine agent outputs is standard LLM orchestration easily built with Python or TypeScript.
Discussion
No comments on this launch.
Competitors
Other products that read as similar to this one : 3589 launches clear the similarity bar, closest 8 shown.
Attention rank: #3195 of 3590 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 162 days after the earliest competitor.
- Harness Tuner · hn · 2026-11-13 · 5 upvotes · similarity 0.71
- LoopGain · hn · 2026-07-15 · 31 upvotes · similarity 0.67
- kyora · github · 2026-10-04 · 29 upvotes · similarity 0.66
- Fractal · hn · 2026-07-21 · 14 upvotes · similarity 0.66
- Real-time observability for coding agents · hn · 2026-03-17 · 14 upvotes · similarity 0.65
- Open Bias · hn · 2026-04-28 · 21 upvotes · similarity 0.65
- rsi_eval · github · 2026-10-12 · 71 upvotes · similarity 0.64
- async_llm · github · 2026-09-28 · 14 upvotes · similarity 0.64
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