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Lelu

gate OpenAI agent actions on confidence and prompt injection

Details

External ID
48664025
Source
HN
Company
—
Product
Lelu
Website domain
github.com
Launched
June 24, 2026
Cohort
—
Upvotes
6
Upvotes percentile
0.31420765027322406
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Enrichment

Theme
ai agent infrastructure and tooling
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI feature
Project type
Commercial product
Normalized one-liner
safety gating for openai agent actions
Manually corrected
False

Could you build this?

Partial A basic middleware interceptor wrapper for OpenAI tool calls is simple, but reliable prompt injection defense and calibrated agent confidence scoring remain hard, unsolved security challenges.

What it would actually take: The architecture requires an inline proxy or SDK wrapper around LLM agent execution that runs lightweight adversarial classifiers and semantic analysis before granting function execution. The difficult component is developing a robust, low-latency defense against zero-day jailbreaks, indirect prompt injections, and hallucinated function parameters without crippling legitimate workflows. This demands specialized LLM security researchers, red-teaming benchmarks, and custom fine-tuned classification models.

Discussion

No comments on this launch.

Competitors

Other products that read as similar to this one — 1734 launches clear the similarity bar, closest 8 shown.

Attention rank: #1098 of 1735 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 238 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.