Notes on agents, software, and work.
Systems / August 16, 2026 / 11 min read
Step by step AI agent architecture: build from recovery backward
Build an AI agent architecture from recovery backward, with explicit tools, durable execution, approval gates, safe retries, and crash tests.
Systems / August 16, 2026 / 10 min read
Multi-agent orchestration architecture design starts with a coordination budget
A coordination budget reveals whether multi-agent orchestration earns its handoffs, shared state, authority boundaries, observability, and recovery costs.
Systems / August 16, 2026 / 10 min read
Agentic AI vs multi-agent systems: choose the architecture, not the label
Agentic behavior does not require multiple agents; use context, parallelism, specialization, boundaries, and coordination cost to choose.
Systems / August 16, 2026 / 10 min read
MCP vs agentic AI: compare the layer, authority, and control points
Agentic AI decides and acts; MCP connects models to tools. Compare their layers, authority risks, control points, and where A2A and APIs fit.
Systems / August 16, 2026 / 9 min read
How to build agentic workflows that can stop, resume, and recover
A recoverable agentic workflow starts with explicit state, side effects, verification, approvals, stop conditions, checkpoints, and recovery.
Systems / August 16, 2026 / 10 min read
AI agent architecture patterns: choose by workload and failure mode
Choose AI agent architecture patterns by workload, failure impact, coordination needs, human stop points, permissions, and recovery controls.
Systems / August 16, 2026 / 10 min read
Generative AI agent architecture: a control and recovery diagram
Generative AI agent architecture needs an execution path, failure-aware recovery, application permissions, and limits on retries and high-impact actions.
Systems / August 16, 2026 / 10 min read
Agentic workflows vs AI agents: choose where variability belongs
Choose a fixed workflow, bounded agent, or open agent loop by matching task variability to control, recovery, observability, and cost.
Systems / August 16, 2026 / 11 min read
AI agent orchestration framework: choose by coordination cost
The right AI agent orchestration framework depends on whether your workload needs deterministic rules, one agent, or coordinated specialists.