1. Why AI Agents Still Won't Pay for Anything — Jan Curn, Apify x402, AP2, ACP, MPP, TAP, UCP: every big fintech and payments company now has an agent payment standard, but real volume is close to zero. Jan Curn, founder of Apify, walks the age 10/19 07:00 ♡
2. Stop Telling Agents How — Dan Barrett, Raymond Weitekamp & Jose Montes de Oca, OpenProse Say what you want, not how to get it. The OpenProse team shows how to write multi-agent workflows as declarative contracts in plain markdown, which any harness (Claude Code, Codex 10/19 03:00 ♡
3. Insurance Claims Are AI's Messiest Data Problem — Denys Linkov, Wisedocs Insurance claims are full of handwriting, faxes, duplicates and 8GB PDFs. Denys Linkov of Wisedocs explains why that unstructured data is both the biggest barrier and the biggest o 10/18 17:00 ♡
4. Evals for High-Stakes AI Agents — Doneyli De Jesus & Annabell Schäfer, Langfuse A hands-on workshop on evaluating AI applications where mistakes are expensive. Annabell Schäfer and Doneyli De Jesus from Langfuse use a banking assistant to walk through the whol 10/18 16:00 ♡
5. Teach Your Agent to Prove It's Done — Nick Nisi & Zack Proser, WorkOS Your agent says it's done. Is it? Nick Nisi and Zack Proser from WorkOS show how to build verification loops that let coding agents check their own work. They cover clear goals, CL 10/18 15:00 ♡
6. An AI Agent Got Its User Banned From Resy — Keycard, JPMorgan Chase & AAuth An AI agent trying to book a restaurant made 200 calls in 90 minutes and got its own user banned from Resy. It had good intentions. It just had no limits. Keycard's Allie Howe mode 10/18 07:00 ♡
7. How to Know If Your AI Agent Is Any Good: Evals With Phoenix & Claude — Laurie Voss, Arize AI Your AI agent wrote a confident stock report saying 116% of analysts agree. Nothing in your checks caught it. This is the workshop for fixing that. Laurie Voss (Head of Developer R 10/18 03:00 ♡
8. The AI Bill Is Too Damn High: Tokenomics 101 — Eugene Cheah, Featherless AI If your token spend keeps going up and productivity isn't keeping pace, start here. Eugene Cheah lays out four steps for cutting AI inference costs at scale: measure, right-size, b 10/17 17:00 ♡
9. Memory-Aware Agent Harnesses for Anti-Money Laundering — Nacho Martinez, Oracle The model is the part you can't change. The harness around it is where you can make real gains. Nacho Martinez walks through the full agent stack (agent loop, short- and long-term 10/17 15:00 ♡
10. AI Agents Cut 3-Day Portfolio Builds to Minutes — Jack McDonald, Apollo & Michael Manapat, Rowspace Apollo's CLO business used to spend 2–3 days building a single mock portfolio by hand in Excel. Now it takes minutes. Jack McDonald (Principal at Apollo and COO of Redding Ridge, A 10/17 07:00 ♡
