TECHThe Smallest Agent That Works, Part 3: The Three Agents With StateTECHThe Smallest Agent That Works, Part 2: The Three Reach-Out AgentsTECHThe Smallest Agent That Works, Part 1: The Three Cheap AgentsTECHWhat MLX Got to Throw Away (That PyTorch Can't)TECHThe Unified-Memory Bet: Why On-Device Inference Stopped Being a ToyTECHEvery Useful Skill Is One of Five ShapesTECHMCP Gives You the Kitchen. Skills Are the Recipe.TECHThe Three-Level Skill, and Why Yours Is Probably One Level Too ManyTECHThe Smallest Agent That Works, Part 3: The Three Agents With StateTECHThe Smallest Agent That Works, Part 2: The Three Reach-Out AgentsTECHThe Smallest Agent That Works, Part 1: The Three Cheap AgentsTECHWhat MLX Got to Throw Away (That PyTorch Can't)TECHThe Unified-Memory Bet: Why On-Device Inference Stopped Being a ToyTECHEvery Useful Skill Is One of Five ShapesTECHMCP Gives You the Kitchen. Skills Are the Recipe.TECHThe Three-Level Skill, and Why Yours Is Probably One Level Too Many
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Tech· 2026-05-29· 5min

The Smallest Agent That Works, Part 3: The Three Agents With State

Stateless agents fit most tasks. State is the most expensive capability you can add — it doubles your operational surface, breaks your debugging, and rewards exactly the use cases that can't survive without it. Memory, environment control, self-learning. Part 3 of three.

#agent-architecture#ai-engineering#ai-agents#system-design
Tech· 2026-05-27· 5min

The Smallest Agent That Works, Part 2: The Three Reach-Out Agents

When the cheap tiers run out, the agent has to reach beyond the model itself — into knowledge it doesn't have, tools it can't natively use, or its own previous answer. RAG, tool use, and self-critique: three patterns, three failure modes worth pricing in. Part 2 of three.

#llm#rag#agent-architecture#ai-engineering
Tech· 2026-05-26· 5min

The Smallest Agent That Works, Part 1: The Three Cheap Agents

Most agent stacks are built one tier too capable for the job. Three of the cheapest architectures — a fixed pipeline, an LLM with rule constraints, and a reasoning loop — solve more problems than the architecture diagrams admit. Part 1 of three.

#llm#agent-architecture#ai-engineering#ai-agents