One Operator. A Fleet of Agents.
Not a bench of juniors — an AI-native practice.
One senior operator orchestrates a team of AI agents: the agents do the leverage work, the operator does all the judgment.
The Operator
The person on your discovery call is the person doing the work. Accountable for every deliverable.
The person on your discovery call is the person doing the work. Accountable for every deliverable — he sets the intent, judges every output, integrates, and ships. 17+ years shipping production systems across automotive, fintech, and enterprise.
Domains
AI StrategySystem ArchitectureProduction EngineeringEU AI Act Compliance
How AI-Native Delivery Works
There is no bench of juniors — there is a fleet of AI agents. The agents do the leverage work; the senior does ALL the judgment. You get a team's throughput with one accountable senior operator.
One Accountable Senior
The person who scopes your project is the person who ships it. No handoffs, no Vanishing Act.
Fleet Throughput
Eight AI agent-roles run in parallel — research, architecture, engineering, QA, security, compliance, and more — compressed into hours, not weeks.
Every Output Judged
I set the intent for every agent task, review every output, and integrate only what passes. Agents amplify; they do not decide.
17+ Years of Production Experience
The judgment layer is backed by 17+ years shipping production systems — from automotive platforms to fintech infrastructure.
The Agent-Roles I Orchestrate
Eight specialized AI agents handle the leverage work — each one dedicated to a distinct delivery domain. I set the intent, judge every output, integrate, and ship.
Product
Discovery synthesis, specs, and prioritization — turning raw requirements into a clear, actionable build plan.
DiscoverySpecsPrioritization
Architecture
Design options, trade-off analysis, and decision records — every structural choice documented and justified.
Design OptionsTrade-offsDecision Records
Engineering
Parallel implementation across stacks — operator reviews and integrates every output before it lands.
ImplementationIntegrationCross-stack
QA
Test generation and adversarial verification — edge cases surfaced before they reach production.
Test GenerationAdversarial VerificationEdge Cases
Research
Source-verified market and technical scans — no hallucinated citations, every claim traceable.
Market ScansTechnical ResearchSource Verification
Security
Static analysis and threat modeling — vulnerabilities caught at the design and code level.
Static AnalysisThreat ModelingVulnerability Review
Compliance
EU AI Act and GDPR mapping — obligations identified early so they are built in, not bolted on.
EU AI ActGDPRRegulatory Mapping
Delivery
CI/CD, zero-downtime deploy, and monitoring — shipping fast without cutting corners on reliability.
CI/CDZero-downtime DeployMonitoring
See How I Deliver
Discover how the operator + agent-roles model translates into faster, higher-quality results for your project.