How to Reduce the Number of Errors of the Codex AI Agent in the SMM System on Buildin.ai: Experience and Solutions
OpenAI
A user shares experience working with the Codex AI agent in the SMM system on the Buildin.ai platform: describes typical agent errors (missing database properties, not keeping a log, inconsistent design style) and ways to fix them by setting rules. Key takeaways: need a single source of truth, clear success criteria, result verification, and references.
The author uses the Codex AI agent as a team member in their SMM system built on the Buildin.ai platform. The agent is connected via the built-in MCP (Model Context Protocol) and performs tasks such as content generation, ticket creation, and database population. Initially, there were errors: the agent did not fill all required database properties, did not log results, created designs in arbitrary styles, and missed tasks in cards. To reduce errors, the author formulated system rules that the agent recorded in its memory and introduced a master task database. As a result, the workflow changed: tasks are created in the master database or Codex interface, the agent performs the work, logs it, double-checks, and passes it to a human for review. Plans include verifying successful products for a reference library and connecting other agents for different tasks.
Source: Habr — хаб ИИ —
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