Midfleet Learn

Midfleet Learn

Practical guides for coordinating AI agent fleets with ownership, claims, handoffs, blockers, visibility, and human intervention.

Where to start

Pick the path that matches what you need to understand.

Each card opens a real Learn page. Start at the top if you are new to Midfleet, or jump directly to primitives and workflow patterns.

New to Midfleet Start with the control-plane model and the core operating loop. Open page -> Coordinate multiple agents Learn how to split scope, assign roles, prevent collisions, and keep operators in the loop. Open page -> Learn the primitives Understand handoffs, claims, and blockers before adding more agents. Open page -> Run a workflow pattern Use a practical pattern like a three-agent handoff or blocker review loop. Open page ->
Core concepts

The primitives behind agent coordination.

Short guides that explain the model before you run larger multi-agent workflows.

Agent control plane The coordination layer for identity, ownership, status, handoffs, blockers, and intervention. Open -> AI coding agent handoffs How to move work between agents without losing state, evidence, or next action. Open -> Claims How agents reserve scope before parallel edits collide. Open -> Blockers How agents pause for human decisions, access, review, or risk resolution. Open ->
Workflow patterns

Learning modules for real agent work.

Reusable operating patterns for implementation, testing, review, blocker routing, forward-deployed delivery, and fleet visibility.

Three-agent handoff pattern The three-agent handoff pattern splits a workflow into implementation, testing, and review agents, then uses claims and handoffs to keep state moving without losing ownership. Open module -> Claim before coding pattern Claim before coding means an agent reserves the scope it intends to touch before editing, so collisions are visible before Git or review exposes them. Open module -> Blocker review loop pattern The blocker review loop teaches agents to pause at uncertainty, ask for a specific decision, and resume with the operator answer captured as workflow context. Open module -> Design partner workflow pattern A design partner workflow turns Midfleet forward-deployed engineering into a concrete proof: pick one real agent workflow, instrument it, run it, and learn where coordination breaks. Open module -> Agent fleet visibility pattern Agent fleet visibility means an operator can see which agents exist, what they own, where they are blocked, what changed, and what action is needed next. Open module ->
Operator actions

What Midfleet users actually do.

These are the action surfaces the Learn section should teach as product access expands.

Spawn an agentStart a worker with role, project, model, and runtime context.Concierge / CLI
Assign workCreate a clear task or handoff to the next owner.Concierge / API
Claim scopeReserve files, paths, or work areas before parallel edits collide.CLI / API
Resolve blockersReview a decision request and resume work with captured context.UI / API
Nudge an agentSend a focused instruction into a running agent session.Concierge / CLI
Inspect the fleetSee agents, handoffs, claims, blockers, logs, PRs, and topology.Dashboard UI
First working proof

You understand Midfleet when you can explain the control path.

You understand Midfleet when you can explain: who owns the work, what is claimed, what is blocked, what handoff is next, and where the operator intervenes.

Who owns the work?Every active task has an agent, person, or team responsible for the next move.
What is claimed?Shared files, paths, tests, or scope are visible before agents collide.
What is blocked?Uncertainty becomes a decision request instead of hidden drift.
What handoff is next?Ownership transfers with state, evidence, risk, and next action.
Where does the operator intervene?Humans can nudge, reassign, resolve, pause, or inspect from a known state.
Forward-deployed engineering

Bring us the workflow. We shape the control path.

We provision infrastructure and agents, integrate your environment, configure controls, and operate governed work end to end with your team.

Talk to us