Summary
A build-night style meetup for agent builders focused on the hard parts: reliability, tool-use failure modes, evaluation, and the engineering details that show up when agents run longer and spend more tokens.
Why it matters
High-usage agent workflows surface issues you don’t see in demos: runaway loops, brittle tools, unclear stop conditions, and noisy traces. Practitioner nights are where patterns emerge for making agent systems cheaper, safer, and less chaotic.
Tokenmaxxing angle
If you’re going to spend the tokens, spend them with intent: define budgets, add telemetry, and use evals to decide when a heavier agent loop is worth it versus when a cheaper call wins.
Source takeaway
A good bet for actionable tactics—how builders debug agent behavior, instrument token burn, and tighten feedback loops so "more autonomy" doesn’t just mean "more spend."