Plans the work, runs the agents, checks every delivery
Run your business on agents.
Tell it the goal. The orchestrator knows your plans and your industry's standards, splits the work across agents and checks every delivery against a versioned standard before it counts. Every run leaves a signed record of its checks.
Grow repeat orders 20% this quarter
- Your Q3 plan
- Your brand guide
- WCAG 2.2
- EngineeringFix checkout on mobile Safariwaiting
- MarketingLanding page for the spring campaignwaiting
- ResearchCited report on three wholesale marketswaiting
- LegalTerms for the new subscription planComing next
- SalesProposals for three wholesale leadsComing next
- SupportAnswers to open customer emailsComing next
The same orchestrator, running a business day. Watch it handle an incident or a campaign next to the usual hand-offs.
Trigger: Checkout success fell below 95% on mobile Safari
- Revenue per hour
- €4,200
- Checkout success
- 98.7%
- Conversion
- 3.1%
- Open support tickets
- 12
- Revenue lost, with anagent
- €0
- Revenue lost, usual hand-offs
- €0
- Fix checkout on mobile SafariEngineeringnot started
- Independent review of the fixEngineeringnot started
- Reply to customers who hit the errorSupportnot started
It starts from what you already know
A plain agent starts from a blank prompt. The orchestrator starts from your business, so the tasks it writes already carry your targets, your rules and the bar the work has to clear.
- Your plans and goalsTargets and priorities decide what gets done first.
- Your brand and house rulesVoice, design system and conventions every delivery has to follow.
- Your industry's standardsAccessibility rules, your test suite, cited sources: each task carries the checks its kind of work needs.
- What earlier work learnedSources and facts are kept with where they came from, so the next task starts informed.
From one goal to finished work
The same four steps run for every task, in every area.
- 1One goal becomes tasksplanned
Each task gets an agent and the standard for its kind of work: the checks it must pass and when it is refused, fixed before it runs.
Grow repeat orders 20% this quarter: 6 tasks, 3 running today
- 2Agents work apartworking
Each agent works on its own copy, never on your live systems, and cannot see the checks that will judge it.
Engineering: Fix checkout on mobile Safari
- 3Another agent tries to refuse itrefused
Tests, sources and accessibility run first. Then a model that did not make the work reads it against the request.
An existing test broke, so the fix went back for another attempt
- 4Only checked work reaches youdelivered
Work that passes arrives with a signed record of every check. Work that misses its standard is refused, with the reason.
3 of 3 delivered, each with its checks attached
Checks that actually refuse work
A check only means something if it can say no. This is one of our own code changes, run through the same checks. No customer data.
It was refused 3 times, so we paid 300 credits in attempt fees instead of the 1,329 credits quote.
Refused after 3 attempts
- Attempt 1 failed the tests gate: Typecheck, tests and build pass
- Attempt 2 failed the no-regression gate: Existing tests still pass
- Attempt 3 failed the no-regression gate: Existing tests still pass
- Charged
- 300 credits
- Quoted, not charged
- 1,329 credits
One workspace for the whole business
The work, the agents doing it and its history live in one place instead of a pile of tools.
- ThreadsTalk to the orchestrator. A goal you agree on becomes tasks.
- AgentsEach with its job, when it runs next and what it may spend.
- ProjectsGroup repos into a project and see its tasks and spend together.
- MemorySources and facts, each with where it came from and who may use it.
- IntegrationsGitHub, Linear and any remote MCP server, connected once.
- OutcomesThe business number the work should move, read from its source.
Give it a goal.
Every run is checked against its standard and leaves a record you can audit.
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