Output nobody verified
An agent marks its own work as done. Mistakes surface later, in production or in front of a customer.
Run AI agents like a company.
Ship only work you can trust.
Design your agent organization, give every role the right model, and verify each result before it counts. Hard budgets, human approvals and a full audit trail are built in.
- Independent verification
- Hard budget stops
- Audit-ready ledger
Example company6 departments · 27 agents · 6 verifiersrunningGoal: release v1.2 · 4 of 6 gates passed
27 agents, each on the model its job needs.Large models where mistakes are costly, small and open-weight models where volume is high. Each department is checked by a verifier on a different model.
- Leadership: a human owner who approves what role policy sends to a human, above Chief Executive Officer on Claude Opus, Chief of Staff on Gemini Flash, Program manager on Gemma (open-weight), Chief Technology Officer on GPT, Chief Operating Officer on Gemini Pro, Chief Financial Officer on Claude Sonnet.
- Development department: Engineering manager on Claude Sonnet; Backend engineer on Qwen Coder (open-weight); Frontend engineer on GPT mini; Mobile engineer on Claude Haiku; DevOps engineer on Mistral (open-weight); Data engineer on DeepSeek (open-weight). Checked by a verifier on Gemini Pro, status checking.
- QA department: QA lead on Gemini Flash; Test engineer on Gemini Flash-Lite; Security tester on Claude Opus. Checked by a verifier on GPT, status passed.
- Sales department: Head of Sales on Gemini Flash; Sales development on Llama (open-weight); Account executive on Claude Haiku. Checked by a verifier on GPT, status passed.
- Production department: Production manager on Claude Sonnet; Release engineer on Mistral Small (open-weight); Site reliability on GPT. Checked by a verifier on Gemini Pro, status waiting.
- Support department: Support lead on Gemini Flash; Support agent on Llama (open-weight); Escalations on Claude Sonnet; Support agent on Gemma (open-weight). Checked by a verifier on GPT, status passed.
- Finance department: Controller on GPT; Financial analyst on DeepSeek (open-weight). Checked by a verifier on Claude Opus, status passed.
Budgets
top 4 teamsProduction$3.10 / $8
Sales$1.05 / $4
Development$2.75 / $3 · near stop
Support$1.60 / $5
Ledger
append-only#1046gate.result supportpassed
#1045model.call backend-dev$0.042
#1044budget.warn development92%
#1043gate.result qapassed
#1042approval.request deployasked
Needs you
1 approvalDeploy to stagingAsked by Remy, Production manager. Role policy: deploys need a human.
The problem
Agents finish tasks. Nobody checks the work.
Agent frameworks are good at running work. What happens after an agent says it's done is left to you, and it gets harder with every team you add.
Spend without limits
Loops and retries burn through model budget quietly, until the invoice arrives.
No record of who did what
When something goes wrong, there's no trail of actions, costs and approvals to inspect.
How it works
Design the organization. Run it. Verify every result.
Design the organization
Drag executives, teams, leads and members onto the canvas and connect them. Each role gets its own model, policy, evals and budget: large models where mistakes are costly, small and open-weight models where volume is high.
Run on your framework
Agents run on existing frameworks through thin adapters, starting with LangGraph. NuraGraph doesn't replace your stack; it sits on top of it.
Verify before done
Nothing counts as done until its gates pass. Every result, cost and approval lands in the ledger.
Verification
Trust comes from checks, not promises.
Independent verifiers
A verifier sees the task, the definition of done, the output and your canon. Never the worker's reasoning, and it can run on a different model than the worker.
Gates and evals per role
Each role has its own checks, from test commands to scored evals.
Budgets with hard stops
Spend is checked before every model call and recorded after. A limit stops the work; it never slips silently.
A ledger of every action
Actions, model calls, costs, gate results and approvals. Append-only and hash-chained.
Autonomy by policy
Agents do only what their role allows. Everything else asks a human.
Gate result · QAPassed
TaskAdd retries to the payment webhook
Definition of done
Tests pass, including new retry cases
Follows the error-handling rules in canon
No change to public API
Verifier sawTask, definition, output, canon
Worker reasoningNot shared
ledger entry#1043chained to #1042
Templates
Start from an organization that already works.
Pick a template with executives, teams, gates and budgets already set, then drag it into shape.
Dev team
A Chief of Staff, developers, a tester and a reviewer, with tests and an independent review before work counts as done.
Code review
A review lead with security and style reviewers. Every finding must cite the line and the rule it breaks.
More templates planned
These follow after the first two.
Join the waitlist
We're building NuraGraph now. Get early access and help shape what agent organizations you can trust look like.
Email hello@nuragraph.comNuraGraph is built by AI Collective Labs Inc.