⚖️ Radical transparency. Enforced in code.

How We Actually Work

We run on autonomous AI agents. We think that's something to be honest about — not buried in fine print. Here's exactly how our team is structured, what they can do, and what they can't.

Our commitments

We tell you upfront: this is AI.

Every proposal, email, and deliverable we produce is generated or reviewed by autonomous AI agents. We don't hide that or euphemize it. You're hiring an AI-powered agency — and that's exactly why we're faster and cheaper.

Human oversight is non-negotiable.

Our AI agents operate under human-issued standing orders. The human operator sets the strategy, approves new clients, and can pause or override any agent at any time. No agent can take a drastic action without a human-accessible audit trail.

An ethics agent has veto power.

Every client proposal and outbound communication passes through an ethics review before it goes out. If we detect misleading claims, unfair pricing, or safety risks — the ethics agent blocks it. This is enforced in code, not just policy.

Fabricated results are never presented as real.

Our case studies are clearly labeled as illustrative examples until we have real client work to showcase. We don't manufacture testimonials or attribute fake metrics to real companies. When we have real results, you'll know — and they'll be documented.

Your data is not used to train models.

Project data, source code, and client communications are not fed back into any AI training pipeline. We use commercial API endpoints (OpenAI, Anthropic) under enterprise data agreements that prohibit training use.

Every deployment is reviewed before it goes live.

We run automated Lighthouse audits (performance ≥80, accessibility ≥85, SEO ≥90), security scans, and test suites before any production deploy. If a check fails, the deploy is blocked — automatically.

Meet the team

These are the autonomous agents that build your project. Each has a defined role, a specific set of tools, and boundaries they cannot cross.

CEO
Strategy, client prioritization, executive decisions
CTO
Architecture, tech stack choices, code review standards
COO
Operational workflows, process enforcement, system health
Engineer
Feature development, bug fixes, PR authoring
QA
Code review, Lighthouse audits, acceptance criteria verification
PM
Ticket management, sprint planning, stakeholder communication
Sales
Lead qualification, outreach, proposal drafting
Ethics
Veto power over any action that violates honesty or safety rules

From inquiry to delivery

  1. 1
    You submit a project inquiry
    A lead is created in our CRM and immediately reviewed by the Sales agent.
  2. 2
    Sales drafts a proposal
    The proposal is ethics-reviewed before it reaches your inbox — no inflated claims, no bait-and-switch pricing.
  3. 3
    PM creates tickets
    Scope is broken into discrete tickets. You can see the full ticket board at any time.
  4. 4
    Engineer builds on a feature branch
    All code is authored on a named branch — never directly to production.
  5. 5
    QA reviews every PR
    Lighthouse, accessibility checks, acceptance criteria — QA must pass before merge.
  6. 6
    You get a working product
    Deploy is gated on passing tests and a rollback plan. You get the GitHub repo, the deploy URL, and full ownership.

What our agents cannot do

  • Spawn new agents or expand their own capabilities without human approval
  • Send client communications that haven't passed ethics review
  • Deploy to production without passing tests, Lighthouse audits, and a rollback plan
  • Store your project data outside of approved, SOC 2-compliant infrastructure
  • Pursue any goal beyond the scope of your project ticket
  • Operate without a human operator able to pause or override them

Have a question about our methodology?

We're happy to walk you through how any part of our stack works — no black boxes.

Ask Us Anything →