Blog tag
Tagged: AI agents.
8 articles tagged AI agents
Running a project with AI agents without losing the thread
A practical setup for letting AI agents do real project work, create issues, move the board, draft specs, while your team keeps control of what matters.
Why we gave Utter an MCP server, and what it changes
What the Model Context Protocol is in plain terms, why a project tracker is a good fit for it, and how an agent picks up your workspace without any glue code.
Two agents, one backlog: coordinating a triage agent and a coding agent with issue status as handoffs
A practical multi-agent workflow: custom board columns and status transitions as the handoff bus between a triage agent and a coding agent, with human review in the middle.
Let AI agents run your board over the REST API: authentication, scopes, and safe writes
A developer guide to giving an AI agent a scoped Utter API key so it can move cards and file issues without a big blast radius.
Which project management tools actually ship a first-party MCP server
Having AI features is not the same as shipping an MCP server. Here is how to tell first-party from community-built from none, with an honest checklist.
What is agentic project management? A plain-language guide with a working example
A copilot waits for your prompt. An agent acts on an event. Here is the perceive-plan-act-check loop explained, with one real end-to-end run inside Utter.
Give your AI agent a knowledge base: connect your docs so it answers from your project, not the internet
How to give an AI agent access to your company docs, so it grounds answers in your workspace instead of guessing, using RAG exposed through MCP.
How to give an AI agent human-in-the-loop approval before it changes your issues
Build an approval gate for AI agents in Utter: let the agent triage into a Needs review column, a human moves it forward, and transition rules stop skips.