If your AI Slack bot hides tool calls, retries, and failures behind one final reply, Honeycomb traces make the hidden middle visible.
I tried to make PailFlow show up in short videos as a small character. The useful workflow was not generating a full AI video clip; it was turning the character into aligned parts that Remotion could animate predictably.
Unit tests tell me whether a piece of code behaves. Behavioral agent tests tell me whether a real workflow still makes sense when a person has to use it.
I’m testing Pailflow waitlist pages with agents and learning that the hard part is not generating pages. It is giving the agent taste.
I simplified my stack into clear building blocks so commands, skills, subagents, question gates, and review inboxes work as one system instead of disconnected prompts.
I stopped manually spot-checking skill edits and moved to a fixed eval loop. The result was faster revisions, clearer failures, and more trustworthy agent behavior.
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