Agent Tooling
How to engineer agent-grade tools — CLIs, MCP servers, and the contracts that let an agent operate a capability without guessing.
How to engineer agent-grade tools — CLIs, MCP servers, and the contracts that let an agent operate a capability without guessing.
Twelve-dimension checklist for auditing CLI tools against agent-grade standards — structured I/O, safety rails, input hardening, and release decision.
AI-powered applications by modality — research, writing, image, and production tools
Decision checklist and adoption radar for MCP tool selection across agent teams
Choose the AI tools that bring value to a workflow — which model, which CLI, which MCP server — and when each one is worth adopting.
Subject navigation for Blockchain Data.
Subject navigation for Blockchain Dev Tools.
Reusable concept note for DAO Toolkit.
When to reach for Firecrawl — turning any URL into structured, agent-ready data from the terminal.
Reusable concept note for Google CLI Tools.
Reusable concept note for Goose Ads — an agent-CLI skill that generates on-brand ad creative from proven top-performing ads, one tech solution in the advertising capability loop.
Agent loop engineering: plain feedback loops, prompt loops, and mechanical control loops that make AI work improve instead of drift.
Reusable concept note for MCP Server Catalog.
Choose which MCP servers give agents the most value per token — adoption radar, team profiles, and the server catalogue.
How AI agents access external tools, data, and resources — the universal adapter between models and the world
How tools and skills turn standard Units of Work into valuable outputs and outcomes
Reusable concept note for Systems Platform.