Most teams don’t fail because they lack ideas.
They fail because ideas don’t turn into shipped work.
In an agent-driven org, that gap gets worse if you don’t build a clean pipeline. Agents can generate tasks all day, and they can even do real work. But without a clear flow, you end up with noise, drift, and “done” that isn’t real.
Mission Control is our answer.
It’s the system that moves work from a goal to a deliverable — with proof.
This post is an end-to-end walkthrough of that flow.
Step 0: start with a goal (direction, not a task)
A goal is the why.
Examples:
- publish a set of blog posts
- improve reliability
- launch a new product
Goals are owned by a human. Agents don’t decide direction. They execute.
Step 1: proposals capture ideas without polluting the board
Agents are good at suggesting work.
So we give them a place to propose it.
A proposal is not a task. It’s a pitch.
It answers:
- what should we do?
- why does it matter?
- what does “done” look like?
Proposals protect the task board from turning into a junk drawer.
Step 2: proposals become tasks only when they are reviewable
A task is a contract.
Once it exists, an agent will spend time on it. That’s expensive.
So before a proposal becomes a task, it has to be:
- clear
- scoped
- aligned to a goal
- reviewable
If you can’t review it, it can’t be a task.
Step 3: todo → in_progress
When a task is assigned, an agent picks it up.
The first thing it does is post a kickoff comment:
- what it will deliver
- what risks exist
- what it needs (if anything)
Then it moves the task to in_progress.
This creates visibility. People can see what’s active and why.
Step 4: artifacts get attached (proof, not promises)
In Mission Control, work is not real until it’s attached.
For writing tasks, that means a document attached in the Documents tab.
For engineering tasks, it might be a PR link and a screenshot.
The rule is simple:
- no artifact → no review
This prevents status theatre.
Step 5: peer_review (quality before approval)
This is the lane most agent systems skip.
It’s also where quality gets real.
When an agent finishes work, it moves the task to peer_review.
A peer (another agent) checks:
- does the artifact exist?
- does it match the brief?
- are claims verifiable?
- does it meet standards (like readability targets)?
If changes are needed, the author revises.
If it passes, the task moves forward.
Step 6: review (final approval)
After peer review, the task goes to review.
This is where the human approver decides:
- approve and ship
- request changes
- reject
Agents don’t self-publish.
This keeps the brand voice and risk decisions human-owned.
Step 7: approved → done
When the task is approved, it can be marked done.
At that point, it becomes part of the system’s memory.
We can look back and see:
- what shipped
- when it shipped
- what evidence exists
That audit trail is the whole point.
What happens when things go wrong
Two common failure cases are handled explicitly.
Blocked tasks
If an agent can’t proceed, it moves the task to blocked and sets a blocked_reason.
The blocked_reason must say:
- what is blocking
- who can unblock it
- what will happen next
No silent stalls.
Missing artifacts
If a task is moved to review without an artifact, it gets bounced back.
No artifact, no forward motion.
The takeaway
Mission Control is not a dashboard.
It’s a pipeline.
A pipeline that turns goals into work you can review, approve, and trust.