Structured Feedback Improves Repair in an LLM Agent Loop
LLM agents often retry after external validation rejects a candidate, but the interface between validation and the next model call remains underspecified. We introduce VeriHarness, a code-controlled agent loop in which models generate candi
https://arxiv.org/abs/2607.14167v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
Moderate
How close the company’s idea is to your thesis statement
Sector
agents, llm, ai
Overlap with sectors you care about
Geography
Unknown
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Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↓ declining
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Shreyas Kaps
Rohan Kulkarni
Confident AI
· Active
The LLM Eval and Observability Platform for AI Quality
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