Stop Your Agents From Spinning
Walk away with: a production pattern for catching agents that spiral, take the wrong handoff, or contradict themselves across runs. Live build of a verifier-gated agent loop.
TwoSetAI × AgensFlow · Workshop Series
Most multi-agent systems work in testing.
They break the day they ship.
If you have already shipped an agent and watched it spiral, contradict itself across runs, or burn tokens in ways the docs did not warn you about, this series is for you.
A live workshop series featuring the engineers and founders building the agentic infrastructure layer. Each session pairs a working build with the person who built it. You leave with patterns you can use the next day.
What you walk away with
Patterns from production
Code, configs, and traces from real systems. Not pseudocode. Not toy examples. You can run it on Monday.
The reasoning behind the choices
Why this architecture, this verifier, this routing rule. The decisions that do not show up in the docs and would take weeks to reverse-engineer.
Direct access to the builders
Q&A with the person who shipped it, while the work is still fresh. Not slides someone else made about their work.
Who this series is for
- Engineers who have shipped a multi-agent system and watched it fail in ways your tests did not catch.
- Product managers wrestling with what AI agents can actually do reliably, and how much they should cost.
- Executives and operators who want to understand what they are buying when they buy "agentic AI infrastructure."
- Platform leads picking infrastructure for your team's agents and tired of evaluating frameworks blind.
- Founders building agentic products who need the infra layer right the first time.
- Vibe coders curious about what is under the hood, and how to save tokens and ship agents that hold up in production.
Each session shows a depth tag so you can self-select. Some run deep into code, others are conversation-first and welcome non-engineers.
The series
Theme 01 · Reliability
For builders whose agents are getting things wrong in high-stakes contexts. Live patterns for catching contradictions, coordination drift, and silent failures before they reach users.
Theme 02 · Cost
For teams burning tokens in heavy-usage agent deployments. Token economics, routing, and budgeting patterns that scale.
Token Budgets for Coding Agents
Walk away with: coordination-policy patterns for cutting token spend on coding agents like Claude Code. Live walkthrough of the benchmarks Nicole has been running.
Theme 03 · Component Choices
For builders designing their stack. How to pick memory, models, routing, and tooling for each piece of the pipeline.
Inside AgensFlow: Design Choices and What They Enable
Walk away with: a clear mental model of AgensFlow. The design choices behind the framework, the production problems it is built for, and what becomes possible once you wire it into your stack.
Self-Improving Agent Loops Without Breaking Your Budget
Walk away with: a self-improving agent loop that gets smarter without inflating your token bill. Live build of reinforcement-learning patterns that stabilize multi-agent coordination.
Theme 04 · In the Wild
For builders who want to see what actually shipped. Real production systems, real edge cases, with the engineers who built them.
Agentic Orchestration in Production
Featuring: Head of AI at a major productivity SaaS
Walk away with: how a production product team ships agentic features without burning the budget. Hard-won lessons from a coding-agent-era operator now running AI at a major SaaS.
Behind the Scenes: Building TwoSetAI With AgensFlow
Walk away with: a peek inside how a small AI media operation uses agentic infrastructure to ship. Live demo plus context, two founders.
Tell me which ones you are in for
Check the sessions you want first access to. We'll send the live link and the recording.