AI agent management
What is AI agent management?
AI agent management is how you decide what your AI agents work on, give every agent the same plan for each job and keep what they learn, so only the real decisions come back to you. The agents do the building. Management decides what they build, and why.
How it works
Choose, direct, learn.
Choose what to build
Know what to work on next, every morning. Customer messages, your roadmap and what your agents found, ranked in one list with the reason for each.
Direct your agents
Explain it once, not to every agent. Claude Code, Cursor, Codex and Grok read the same plan for each job. Only your calls reach you.
Learn as you go
Learn from everything you ship. What one agent learns reaches the next. Decide once, and no agent asks again.
Not the same thing
Management decides the work. Orchestration runs it.
Three words get used for agent tools. They do different jobs, and you can use all three.
Agent harness
The program that runs one AI model as an agent, with tools, files and a loop to work in. Claude Code and Codex are harnesses.
Orchestration
Runs several agents together: starts them, passes work between them and collects what comes back.
Agent management
Decides what the work is: which job matters, what done looks like and which calls need a person. Annsa is agent management. It doesn't run your agents. They connect to it over MCP and read the plan.
Who it's for
Built for busy product founders growing a business with more than one agent.
When the volume of agent work keeps you in the day-to-day, agent management is how you get back to leading the business. You make the calls. Annsa ranks and suggests.
Asked + answered.
Q1
What is AI agent management?
AI agent management is how you decide what your AI agents work on, give every agent the same plan for each job and keep what they learn, so only the real decisions come back to you.
Q2
How is AI agent management different from AI automation?
Automation follows steps a person wrote, the same way each time. Agent management decides which work your agents take on, what done looks like and when a person needs to decide. The agents choose how to do the job.
Q3
What is the difference between AI agent orchestration and AI agent management?
Orchestration runs agents: it starts them, passes work between them and collects the results. Management decides what that work is and checks it's done. Many teams use both.
Q4
What is agent management software?
Software that holds the list of work for your agents, one plan per job and the decisions behind them, so every agent reads the same direction. Annsa is agent management software for product builders.
Q5
How do you manage multiple AI agents?
Give them one list of work, one plan per job and one holder per job, and let only the real decisions reach you. If one gets stuck, it hands over with notes on what it tried.
Q6
Which agents work with Annsa?
Any agent that connects over MCP. Most people use Claude Code, Cursor, Codex and Grok.
Q7
Does Annsa write code or specs?
No code. A spec is written by you, by your agent over MCP, or by Ask when you ask for one, and Ask can read your connected repo to make it codebase-aware.