Service № 03

Implement.

We configure, integrate, and deploy AI workflows, agents, and local hardware setups.

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Most AI implementations look fine in a demo and break in production. We optimize for the second part.

We ship AI systems that real teams operate without us in the room. That means evals before code, observability from day one, and a careful conversation about which decisions a model should make and which a human should review. The unglamorous parts are the parts that decide whether the system is still working in six months.

We work in your stack where possible and in our own where it makes the difference between something that ships and something that doesn't. Either way, we leave you with documentation, evals, and trained operators — not a black box you can't debug.

Formats
  • Production AI workflows
    End-to-end automations your team runs. Triggered, observable, recoverable. Not a notebook that breaks on Monday.
  • Agent systems
    Multi-step agents with real failure handling, tested against your data. We build the eval suite before the agent.
  • Local AI deployments
    On-prem setups for sensitive data — sized for one operator or a whole team. Mac Studio clusters, Mac Mini stacks, NVIDIA workstations.
  • Evaluation harnesses
    So you can swap models in six months without flying blind. Often the most valuable artifact we leave behind.
Outcomes
  • A system in production
    Not a prototype, not a pilot — a thing your team uses on Monday morning to do real work.
  • Documented and trainable
    Your team can operate, debug, and extend it without us. We treat the handoff as part of the engagement, not an afterthought.
  • Eval suite + monitoring
    You'll know when something breaks, why, and whether the underlying model has drifted on you.
  • A line that stays open
    Engagements end on a date. We stay reachable for the questions that come up at month four.
Who this is for

Three audiences. Different shapes. Same work.

Ops teams

Ops, finance, and legal teams with repetitive, high-judgement work that an AI workflow can offload — without losing accountability.

Solo operators

Single founders, shop owners, and individual consultants who want AI in their day-to-day. Often one machine, one user — sized accordingly.

Sensitive-data orgs

Research labs, healthcare, government. Anyone who needs the productivity gains without sending data to a third-party API.

The stack we work with

The companies our work touches every week, across six layers of the AI ecosystem.

Explore the full stack
  • OpenAI
  • Anthropic Anthropic
  • Google Google
  • xAI
  • Cohere
  • Meta Meta
  • Mistral AI Mistral AI
  • DeepSeek DeepSeek
  • QWen Qwen
  • Moonshot AI Moonshot AI
  • Microsoft
  • Perplexity Perplexity
  • Cursor Cursor
  • OpenClaw OpenClaw
  • Cognition
  • Manus Manus
  • Replit Replit
  • Lovable
  • Midjourney logo Midjourney
  • Runway Runway
  • Black Forest Labs Black Forest Labs
  • ElevenLabs ElevenLabs
  • HeyGen
  • Higgsfield
  • Kling AI
  • Luma AI
  • NVIDIA NVIDIA
  • AWS
  • Hugging Face Hugging Face
  • Groq Groq
  • together.ai Together AI
  • Replicate Replicate
  • Vercel Vercel
  • Ollama Ollama
  • LM Studio LM Studio
  • LangChain LangChain
  • LlamaIndex LlamaIndex
  • CrewAI CrewAI
  • Pydantic Pydantic AI
Other services

Educate

Practical AI training for teams that need to actually use these tools. Not just talk about them.

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Strategize

AI transformation strategy for teams adopting these tools. We embed briefly to sort use cases, architecture, tooling, and build-vs-buy. The deliverable is a roadmap with KPIs you can defend and a training plan your team can run.

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Get in touch

If you're not sure what to do about AI, start here.

Book a discovery call. Thirty minutes, no charge. We'll tell you honestly whether we can help. If we can't, we'll usually know who can.

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