Agents that run the business. You supervise.
A swarm of purpose-built agents — CEO, engineer, growth, ops, QA — running real cycles against your production systems. Connected through MCPs to GitHub, Stripe, email, CRM. Anything outside safety rails escalates to a human.
Different problem. Different tool.
A copilot helps a human work faster. Autonomous ops runs the cycle itself. Both have a place — they're not the same job.
| Dimension | AI copilot | Autonomous ops |
|---|---|---|
| Interaction | Human asks, AI does | AI runs cycles, human supervises |
| Initiation | User-triggered | Agent-triggered loops |
| Scope | Single task at a time | Full business workflows |
| Oversight | Inline approval | Escalation-based supervision |
| Best for | Productivity boost | Operational autopilot |
Five agents, one operating loop.
- 01
CEO agent
Strategic orchestrator that sets priorities, allocates resources across agents, and makes high-level decisions based on business metrics and goals.
- Priority setting
- Resource allocation
- Strategic decisions
- Goal tracking
- 02
Engineer agent
Ships code, fixes bugs, reviews PRs, and manages deployments. Connected to GitHub via MCP for full repository access and CI/CD control.
- Code generation
- PR reviews
- Bug fixes
- Deployments
- 03
Growth agent
Runs marketing campaigns, manages social media, analyzes conversion funnels, and optimizes acquisition channels autonomously.
- Campaign management
- Social posting
- Funnel analysis
- A/B testing
- 04
Ops agent
Handles invoicing, customer support triage, inventory management, and day-to-day operational tasks that keep the business running.
- Invoice processing
- Support triage
- Inventory management
- Workflow automation
- 05
QA agent
Validates outputs from other agents, runs quality checks, monitors for regressions, and ensures production safety standards are met.
- Output validation
- Regression checks
- Safety audits
- Quality scoring
Plan. Execute. Report. Escalate.
- 01
Plan
CEO agent reviews goals, metrics, and priorities. Assigns tasks to specialized agents for the current cycle.
- 02
Execute
Agent swarm works in parallel — shipping code, sending emails, processing payments, posting content.
- 03
Report
QA agent validates outputs. All agents report results, metrics, and status back to the orchestrator.
- 04
Escalate
Anything outside safety rails or confidence thresholds gets escalated to a human for review and approval.
Connected to the real stack.
- 01
GitHub
Repository access, PR management, CI/CD triggers, issue tracking.
- 02
Stripe
Payment processing, subscription management, invoice generation.
- 03
Email
Automated outreach, customer communication, notification workflows.
- 04
Social APIs
Content publishing, engagement tracking, audience analytics.
- 05
Analytics
Business metrics, conversion tracking, performance dashboards.
- 06
CRM
Contact management, deal tracking, customer lifecycle automation.
What you don't get from a generic agent toolkit.
- 01
Bespoke, not one-size-fits-all.
Every agent swarm is custom-built for your business. We map your workflows, integrations, and edge cases — no generic templates.
- 02
Production-connected via MCPs.
Agents don't run in a sandbox. They connect to your real systems — GitHub, Stripe, email, CRM — through production MCP servers.
- 03
Human-on-the-loop.
Agents run autonomously within safety rails. Anything outside confidence thresholds gets escalated. You supervise, not babysit.
- 04
LLM-agnostic architecture.
Built on Claude Agent SDK today, but the architecture supports any LLM provider. No vendor lock-in, swap models without rewriting agents.
Have workflows you'd put on autopilot if you could?
Tell us what the cycle looks like today, what your safety constraints are, and which systems the agents would need to touch. We come back with whether an autonomous build makes sense and what it'd cost.