Claim◆Video · 17:17 · 2m
The business scores an 8 out of 30 — it doesn't make that much money for the work involved, can't run without Mark, and has a weak moat because anyone with enough capital could do it.
Sam (host) · My First Million
MechanismArticle
State should live in serializable storage controlled by the application, keeping the model stateless and allowing agents to pause, resume, recover from crashes, and scale horizontally behind a load balancer.
The article explains that storing agent state in the application's own software rather than in the model's context enables crash recovery, resumability, and horizontal scaling, since any instance can pick up any request from the saved state. ✦ AI generated
Best Practices for Building AI Agents That Work in Production (author) · ByteByteGo Newsletter · 2026-07-22 · original ↗
The application stores the real state of the work, the conversation so far, the plan, the progress, and reconstructs the context from it on every call. Since the state lives in serializable storage, an agent can pause partway through a task and resume later, or recover cleanly after a crash, by loading the saved state and continuing.
Read full article ↗excerpt · fair-use quotation
Related moments
MechanismVideo · 29:50 · 2m
State space models rely on linear dynamics because current methods cannot properly scale nonlinear systems into parallelizable tensor computation.
Ramin Hasani · The Cognitive Revolution
ClaimVideo · 17:12 · 1m
The brownstone business scores poorly as a business: it's painful, not that profitable, not scalable without the founder, and has a weak moat.
Sam Parr · My First Million