How to use Unknown to build web app integrations

Alan and Richard describe evolving Integuru from an agent that observes network traffic into a system that also analyzes platform source code. Their original process required a human to perform an action, after which the agent observed and recreated the requests. Production use exposed gaps involving states, missing fields, permissions, hidden validations and changed requests.

They first added agents that triggered variations of an action. A gating layer blocked outbound requests so the system could observe request structures and branching behavior without accidentally changing live platform data. Because execution alone did not expose every business rule, they then built a source-analysis layer that deobfuscated frontend bundles and traced code associated with each action.

The authors say combining these layers improved edge-case coverage and reduced failures and brittle fixes. They also added authentication support, auto-healing and API documentation generation. For production customers, an on-call maintenance team could improve the agent or manually build an integration when requested.

Reported production averages were about three seconds per API call and over 99.9% success, with some companies exceeding one million monthly requests per platform. The authors acknowledge continuing problems with heavily anti-botted platforms and a still-manual generation interface.

Who it's for: Developers connecting applications to platforms without official APIs who can accommodate ongoing integration maintenance.

Prompt
Suggested prompt (written by Agents In Use, not the author's)

Source: Hacker News · alanloo