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DidWork

Verify agent outcomes, not just tool calls.

Details

External ID
1259572
Source
PH
Company
—
Product
DidWork
Website domain
producthunt.com
Launched
Sept. 25, 2026
Cohort
—
Upvotes
3
Upvotes percentile
0.8905013897797733
Tags
Developer Tools, Artificial Intelligence
Fetched at
Sept. 26, 2026, 1:01 a.m.
Updated at
Sept. 26, 2026, 1:01 a.m.

Description

AI agents often report success because a tool call completed, even when the actual outcome is wrong or incomplete. DidWork independently verifies agent work against the expected result, gives agents clear pass/fail gates, and can trigger repair when verification fails. It works through MCP and an SDK, supports multiple providers, and produces shareable verification receipts so developers can see what was checked and whether the work was actually done.

Enrichment

Theme
AI agent frameworks and developer tools
Vertical
Horizontal
Function
Observability & eval
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
outcome verification for ai agents
Manually corrected
False

Could you build this?

Yes It can be built as an MCP server and SDK that takes an agent's expected output/schema, runs verification checks via an LLM judge or deterministic tests, and returns a pass/fail status with remediation suggestions.

Competitors

Other products that read as similar to this one — 397 launches clear the similarity bar, closest 8 shown.

Attention rank: #66 of 398 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 317 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a observability & eval tool for Media & entertainment yet.