Tag: #agents

A comprehensive guide to what GPTBot is, how it appears in your logs, the difference between indexing and user-driven retrieval, and what options you have to allow, monitor, or block it.

An exploration of how users leverage ChatGPT and AI agents to fetch, scrape, and interpret content from the web — what it looks like, why it happens, and what it means for site owners.

How Model Context Protocol unlocks AI’s ability to safely use tools, data, and workflows

Where I see this workflow heading next: using MCP and AI agents to handle the handoff from transcription to action without me in the middle.

How I think about when agents should act automatically, when they should pause, and how to design workflows that balance speed with trust.

Tracing the journey from raw voice transcripts to AI-structured outputs, storage systems, agent orchestration, and confidence thresholds.

A deep-dive on building a local-first hub to manage AI agents, rules, and confidence thresholds—so voice unloads flow from capture → storage → action without manual shuffling.

Why most tools fail when bolted on top of old habits—and how I’m reshaping my own workflows so agents become part of the operating system, not another inbox.

Shifting from app-centered workflows to systems where AI agents act as operators, not accessories.

Balancing automation with user approval—when agents should act, when they should pause, and how confidence thresholds shape trust.