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Continuumship
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For teams adopting agents

Agents propose. People decide. The record proves it.

Every agent run starts from a brief a person approved, executes on your runners, and reaches review with its checks measured. Autonomy is earned over a clean window and lost on one failure.

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An agent run from the brief a person approved to review, with the transcript kept on your runner.

What you tell us

The agents arrived before the process did.

  • “Agents open pull requests nobody asked for.”

    Every engineer runs an agent differently. The work that appears was never shaped, never approved, and lands in review anyway.

  • “We can't say what the agent did.”

    A merge request shows the diff. It does not show the brief, the context the agent was given, or whether its tests really ran.

  • “Every vendor wants us to move in.”

    The tracker, the code host and the CI system each sell an agent platform. Each works best if more of your lifecycle moves into it.

How Continuumship answers

Bounded work, on your machines, under your rules.

Briefs a person approves

A plan is shaped and approved before an agent builds it. The approver is the actor of every run the plan starts, and the brief says what the change touches.

  • The same context a person sees
  • Every document it was given, recorded by digest

Runs on your runners

Agents work in an isolated worktree on your machines, through the adapter or MCP client your engineers already use. Source, diffs and transcripts stay there.

  • Local, CI and hosted venues
  • Checks measured on the runner, not reported

Routing, budgets and earned autonomy

Work goes to the model your rules allow. A budget stops the run that would break it. Standing approvals cover named work only while the record stays clean.

  • One failure steps autonomy down
  • Production writes always need a decision

How to start

Start in shadow, with agents read-only.

For thirty days on one Area, agent suggestions are compared with what your people did next. Then you decide which agents may prepare changes.

  1. Week 0 · Connect

    Connect the tracker, the code host, your pipelines and one observability source with read-only scopes. Pair a runner.

  2. Week 1 · History and discovery

    History is read back. The process the team really follows is discovered, and the repeated work an agent could take on is counted.

  3. Week 2 · Confirm and shadow

    The team confirms its flow and chooses the read-only agent templates to try. Guardrails go into shadow.

  4. Weeks 3–4 · Shadow on live work

    Suggestions run in shadow and are compared with what people did. We read the report together, and you decide.

Questions teams ask about agents

Which agents work with it?
The agents your engineers already use: Codex and Claude through their adapters, and any client that speaks MCP. Runs execute on your runners under a signed brief, so the agent stays yours and the rules stay yours.

Can an agent approve its own work?
No. An agent proposes; a person decides, with separation of duties. A standing approval lets named, low-risk work proceed inside limits people signed, and it ends the day a verification fails.

What will it cost in model spend?
Spend is recorded per run and per work item from what your runners and providers report, under budgets you set per Area, template or work item. Until it is reported, a figure is labelled an estimate.

Let agents in, one Area at a time.

Start with a thirty-day shadow pilot: agents read-only, suggestions compared with what your people did, the report read together.

Talk to us Pricing