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Agent Tuning, using recursion to achieve predictable agent output

Details

External ID
47711033
Source
HN
Company
—
Product
Agent Tuning, using recursion to achieve predictable agent output
Website domain
github.com
Launched
April 9, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.11182519280205655
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Enrichment

Theme
coding agent interfaces and environments
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
tuning agents for predictable output
Manually corrected
False

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 — 1701 launches clear the similarity bar, closest 8 shown.

Attention rank: #1461 of 1702 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 162 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.