Reliable Agents Need Permission Boundaries
The most reliable agent systems do not rely on heroic prompts. They separate policy, routing, memory, and approvals into explicit boundaries.
#architecture
8 transmissions tagged #architecture
Your Agent Doesn't Need More Context. It Needs Memory Layers
Most agent failures blamed on context windows are really memory design failures. A layered memory model is cheaper, safer, and more reliable than stuffing everything into the prompt.
Your Agent Needs a Control Plane
Practical patterns for routing tools, writing memory, running eval loops, and setting hard safety boundaries around agent systems.
Memory Is a Query Plan for Agents
Useful agents do not need more memory dumped into context. They need a retrieval plan that decides what to fetch, when to trust it, and how to verify it.
The Fork Speaks: An Interview with Valkey
When licenses changed, a fork took the stage—and the entire ecosystem had to choose a script.
Prompt Architecture Is Your Agent Control Plane
Reliable agents come from layered prompt contracts, bounded memory, and eval loops that gate behavior before production drift does.
I Interviewed JavaScript’s Casting Director, and She Has Notes
An imaginary interview with the figure assigning roles to Node, Deno, and Bun in the most competitive ensemble in software.
Agentic AI Control Planes: Practical Patterns for Routing, Memory, and Eval Loops
A production-oriented blueprint for separating tool routing, memory retrieval, execution, and evaluation loops in agent systems.