Production AI agents. In weeks, not quarters.
From tribal knowledge to legible, traceable systems. We work at any of the five maturity levels — from first diagnosis to self-improving system.
The full ladder — L0 → L5.
Each level is a concrete state of the system, with signals that identify it and deliverables that move it to the next.
L0 Tribal
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No one can explain in writing how the process works.
3–5 day assessment with prioritized roadmap and build-vs-buy analysis.
L1 Experimenting
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Everyone uses Cursor or ChatGPT their own way — no guardrails, no conventions.
Vibe Check — audit of what was built with AI, prioritized remediation plan.
L2 Legible
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Artifacts exist (WORKFLOW.md, schemas, registries) that encode the knowledge.
Document ingestion pipeline, semantic knowledge base, conversational interface with source-attributed answers.
L3 Operating
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An agent is live answering questions about your data, not generic data.
Production agent workflow with WORKFLOW.md handoff, review gates, and full traceability.
L4 Adaptive
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The system proposes actions, detects anomalies, escalates decisions when needed.
Feedback loops, eval design, production telemetry.
L5 Self-improving
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Marginal cost of a new use case approaches zero.
Monthly retainer · named principal · continuous capability expansion.
Technical capabilities.
The clusters that cover most projects. The specific framework is chosen by the problem, not the catalog.
Agent orchestration
01- → Event-driven dispatch (GitHub, Linear, custom webhooks)
- → Worktree or container isolation
- → Skill-based routing and progressive tool disclosure
- → Conversation compaction, stop commands, loop prevention
RAG & knowledge
02- → Document ingestion with canonical schemas
- → Vector stores — pgvector, Pinecone, Qdrant
- → Source-attributed answers — no hallucination without citation
- → Continuous evals on retrieval quality
Autonomous agent security
03- → Scoped authority models — session keys, scopes, expiration
- → Simulation-before-execute · rate limits · distributed locks
- → One-click revocability · user-visible audit trails
- → Encryption at rest · secrets management · rotation
Production infrastructure
04- → Deploy in the customer's cloud, not ours
- → Observability — structured logs, metrics, health endpoints
- → Resilient crons with tunable batch + concurrency
- → CI/CD with automated review gates
Every project starts with one question.
“What's the level and which tools serve it best?” The framework is a decision — not a commitment. Case studies are the evidence: each one documents what we chose, what we rejected, and why.
See case studiesWhat we don't do.
- 01 I don't build chatbots "just to have AI".
- 02 I don't sell proprietary platforms that lock you in.
- 03 I don't work with clients who can't (or won't) articulate the real problem.
- 04 I don't promise "AI that replaces your team". We promise AI that makes your team disproportionately more effective.
- 05 I don't ship without a review gate. Ever.
Let's talk about your project.
30 minutes. we assess your use case and give you a realistic timeline and architecture.
Within 5 days of the call. Architecture, phases, costs, stack chosen and why.
First deploy in under 4 weeks from kickoff.
No pitch, no commitment.