Optimize a support agent only after checking action and escalation quality
At a glance
OpenAI's Cookbook provides a synthetic support-agent optimization sprint comparing prompts, tool controls, model routing, caching, and offline follow-up; its default simulation is not a production performance benchmark. This workflow is listed under builder, openai, agent-evals, cost-optimization, tool-controls.
Official Agents API cookbook: connect Slack threads to persistent agent sessions, workplace tools, and isolated sandboxes so workplace chat becomes a durable agent runtime.
PersonalAgentEval tests everyday tasks against accounts with substantial prior history. Its X report highlights a pharmacy task where most agents omitted a previously promised caregiver notification.
Product Hunt’s Cronloop lets you describe a recurring job in Markdown, pick Codex or Claude Code, connect tools, and run agents on a loop with durable memory that can self-improve each run.