Scaling Long-Horizon, Stateful AI Agents & Multi-Agent Systems
📝 Event Description
Building a single-turn agent demo is easy. Shipping production-ready multi-agent systems that execute reliably over 20+ turns without hallucinating or draining your runway is where most startups stall.
When agents tackle long-running tasks, errors compound. A low-quality search result on step 3 derails the planner by step 10. Meanwhile, passing bloated raw web context between sub-agents burns millions of tokens, destroying your product gross margins.
This private technical meetup brings together founders and lead engineers working on Scaling Long-Horizon, Stateful AI Agents. We will unpack real production stacks, state management patterns, and the retrieval architectures required to improve task completion rates while cutting token spend.
🛠️ What We Will Cover
Preventing State Drift in Long-Horizon Runs: Checkpointing, intermediate verification, and stopping compounding errors across 30+ execution steps.
Multi-Agent Systems in Production: Practical orchestrator-worker-critic patterns, inter-agent messaging, and avoiding deadlocks in complex agent swarms.
Token Economics & Context Pruning: How to replace raw HTML scraping and giant context windows with precision search retrieval to cut API bills by 70%+.
Trajectory Evals: Benchmarking intermediate tool calls, search quality, and unit economics before pushing agent updates to users.
State Recovery & Async Execution: Designing interruptible, stateful workflows that handle tool timeouts, rate limits, and human-in-the-loop steps cleanly.
📅 Agenda
5:00 PM – 5:30 PM: Check-in, drinks, and casual networking
5:30 PM – 5:50 PM: Technical Teardown: Anatomy of a 30-Turn Agent Run (Where state breaks and tokens burn)
5:50 PM – 6:30 PM: Founder Panel: Scaling Stateful Multi-Agent Systems in Production
6:30 PM – 6:50 PM: Live Architecture Demo: High-precision search grounding and token reduction in multi-agent pipelines
6:50 PM – 8:00 PM: Open discussion, founder Q&A, and networking
Who Should Attend
Founders and technical leads building autonomous, vertical, or developer-focused AI agents.
Engineers tackling agent reliability, multi-step orchestration, and context window economics.
Builders looking for practical architectures to improve response quality and reduce inference costs.
(Note: Space is limited to maintain high-signal discussion. Approvals are prioritized for active founders and core technical operators.)
Sponsored by [Sponsor Name]
Special thanks to [Sponsor Name] for supporting this event. [Sponsor Name] provides real-time search APIs built specifically for AI agents and LLMs, delivering clean, structured web context that increases response accuracy while significantly reducing token consumption and scraping overhead.
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