What I do, in concrete terms.
Seven services to go from idea to a system in production. Start from the problem you want to solve, or from the technical building block: both lead to the same place.
From idea to production
They chain together, they don't stack up.
The seven services aren't a list. They chain together, from intelligence wired into your data through to reliability in production.
- 01LLM & RAGYour documents become a knowledge base you can query in plain language, with sourced answers.
- 02Agents & orchestrationAgents that carry out real tasks in your tools, connected via MCP, the standard that saves you from rewiring everything each time you switch models.
- 03Skills & proceduresYour internal procedures encoded as skills your agents load at the right moment, versioned, tested and readable across tools without a rewrite.
- 04Automation & workflowsYour repetitive tasks handed to reliable workflows, with AI where judgment is needed, and alerts when something goes wrong.
- 05Cloud & on-premYour AI systems deployed wherever your constraints require, down to your own infrastructure. The agent acts on your tools, and when the model and the MCP server run inside your perimeter, no data ever leaves.
- 06Audit & optimizationI find where AI truly creates value, and cut the bill on what's already running.
- 07Reliability & security in productionEvals, guardrails, observability and security: AI systems that don't drift, don't break silently, and are far harder to hijack.
The index
Eighteen problems, seven building blocks.
You know what's blocking you, not necessarily which building block you need. Each block carries the problems it settles: find yours, the destination is at the head of the group.
- 01
LLM & RAG
The right answer, sourced and cross-checked, in seconds.
What it settles
- Hours spent searching through your documents
- Answers you can't verify
Claude · OpenAI · RAG · pgvector · Qdrant · Embeddings · Reranking · Python · Vision · OCR · Agentic RAG
- 02
Agents & orchestration
An agent that acts, not a chatbot that talks.
What it settles
- An integration to redo each time you switch models
- Tools that don't talk to each other
MCP · LangGraph · Claude · Tool use · n8n · Python · TypeScript · Webhooks
- 03
Skills & procedures
An agent that knows how, not just what it's wired to.
What it settles
- A house procedure living in three people's heads
- Context eaten by ten MCP servers before the first real task
- Skills installed from public repos, with nobody reviewing them
SKILL.md · Agent Skills · Claude Code · Codex · GitHub Copilot · Cursor · MCP · Context engineering · YAML · Git · CI · Evals
- 04
Automation & workflows
Repetitive work runs on its own, under control.
What it settles
- The same tasks rekeyed by hand every day
- An automated workflow that fails silently
n8n · Make · Zapier · Python · TypeScript · API · Webhooks · Claude
- 05
Cloud & on-prem
Your data stays with you, even when the agent acts.
What it settles
- AI that has to send your data to a third party to act
- Data that has to pass through a third-party cloud
- A POC running on a laptop
Docker · AWS · GCP · Azure · Ollama · vLLM · Terraform · Vercel
- 06
Audit & optimization
AI at the right price, where it pays off.
What it settles
- An AI project launched on messy data
- AI everywhere except where it pays off
Token audit · Prompt engineering · Caching · Batching · Observability · Evaluation
- 07
Reliability & security in production
AI that doesn't go off the rails, and far harder to hijack.
What it settles
- AI you can hijack with a single sentence
- A RAG that answers from documents off-limits to the user
- AI that hallucinates or drifts silently
- A black box in production
Evals · LangSmith · Traces · Guardrails · Observability · Logfire · Monitoring · OWASP LLM · Promptfoo · Red-teaming · Sandboxing · OIDC
The full stack
Everything I put to work.
Every technology I put to work across the seven services.
55 technologies7 services
- Claude
- OpenAI
- RAG
- pgvector
- Qdrant
- Embeddings
- Reranking
- Python
- Vision
- OCR
- Agentic RAG
- MCP
- LangGraph
- Tool use
- n8n
- TypeScript
- Webhooks
- SKILL.md
- Agent Skills
- Claude Code
- Codex
- GitHub Copilot
- Cursor
- Context engineering
- YAML
- Git
- CI
- Evals
- Make
- Zapier
- API
- Docker
- AWS
- GCP
- Azure
- Ollama
- vLLM
- Terraform
- Vercel
- Token audit
- Prompt engineering
- Caching
- Batching
- Observability
- Evaluation
- LangSmith
- Traces
- Guardrails
- Logfire
- Monitoring
- OWASP LLM
- Promptfoo
- Red-teaming
- Sandboxing
- OIDC
Contact
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