MyTeam
Autonomous AI engineering firm — 10 agents, 3 phases, production-ready apps.
MyTeam is a 10-agent AI development platform that ships production-grade applications end-to-end. Senior engineers steer; specialised agents — Vision, Coordinator, Tech Director, QA, Security, Knowledge, Research, UX, and more — execute in parallel through a strict 3-phase lifecycle with hard quality gates between each phase. It's the same engine we use to deliver every TechRevati project.
10 specialised agents
A full engineering firm in one process: Vision, Coordinator, Tech Director, QA, Security, Knowledge Guide, Knowledge Manager, Principles, Research, UX — each with a defined role.
3-phase quality gates
Foundation ≥ 82%, Integration ≥ 87%, Autonomy ≥ 88%. Hard thresholds — no phase advances until the current one clears.
Parallel DAG orchestration
Agents run in parallel under a dependency graph — fast where it is safe, sequential where it matters.
Multi-provider LLM routing
OpenRouter, OpenAI, Anthropic, Ollama, Groq, Mistral, DeepSeek, Perplexity — pick per role and per phase, on-prem or cloud.
Per-user BYOK
Each operator brings their own LLM keys; no shared bills, no shared blast radius.
Audit trail by design
Every decision logged, every artefact reviewed. SAST, smoke tests, and structured telemetry from day one.
Tech stack
- Python 3.12
- FastAPI
- React 19
- TypeScript
- SQLAlchemy
- Alembic
- PostgreSQL
- OpenTelemetry
How we build
Three phases. Three quality gates. Zero hand-waving.
Every project advances through Foundation → Integration → Autonomy. Each gate has a hard quality threshold the team must clear before moving on.
Foundation
≥ 82%
MVP scaffold, core architecture, scope locked, first runnable build.
Integration
≥ 87%
Feature completeness, edge cases, integrations, end-to-end tests.
Autonomy
≥ 88%
Production-ready: docs, monitoring, security audit, deployment runbook.
The team
Meet the 10 specialized AI agents.
Every project is built by the same multidisciplinary AI firm. Senior humans review, the agents do the heavy lifting in parallel.
- ☀️VM
CEO
Vision & Scope
Defines product vision, scope, and final approval gates.
- ⚙️MC
COO
Operations & Coordination
Orchestrates multi-agent workflows and dependency graphs.
- 🔍SW
QA Engineer
Quality Assurance
Validates outputs against quality gates before each phase advances.
- 🎓JW
Tech Director
Engineering Lead
Writes production code, makes architectural decisions, leads delivery.
- 🛡️TY
Security Engineer
Security & Infrastructure
Hardens code, audits dependencies, designs threat models.
- 💡EX
Knowledge Guide
Architecture & Tech Selection
Picks the right stack and patterns for each domain.
- 🗃️SC
Knowledge Manager
Docs & Memory
Captures decisions, writes docs, persists cross-session memory.
- 📢OR
Principles Officer
Ethics & Accessibility
Enforces WCAG, inclusive language, ethical guardrails.
- 📊RES
Market Research
Competitive Intelligence
Analyzes market, competitors, and validates product-market fit.
- 🎨DES
UI/UX Designer
Interface & Experience
Designs interfaces, polishes interactions, owns the design system.
Built on a tested engine
Actively versioned · public changelog
Release cadence
CI-gated suite, green on every release
Backend tests
CI-gated suite, green on every release
Frontend tests
FAQ
Frequently asked questions
AI-generated code is unreliable — how do you stop that?
Every phase is gated on a confidence threshold plus a passing smoke test, so nothing advances on hope. Senior humans steer the work while the agents do the heavy lifting under review.
Is it actually production-ready?
It's verified production-ready for its reference project shapes today, with hard quality gates at each phase. Broader multi-file full-stack validation is our active roadmap milestone, and we say so plainly rather than overclaim.
Can we audit what the agents actually did?
Yes. There's an append-only audit log per project plus structured telemetry, so every decision and tool call is recorded for review.
Have a project in mind?
Tell us what you want to build. We respond within one business day.