01.00 SERVICES

We ship seven things — well.

Each service is grounded in production systems we have already built. Every engagement ships with documentation, tests and infrastructure-as-code.

01.01 SERVICE

AI-augmented delivery

Integrate large language models into your SDLC to accelerate blueprinting, documentation, code and test generation — with engineering rigour.

  • 01 Structured prompts & meta-prompting for code generation
  • 02 Blueprinting and documentation automation
  • 03 Business logic and infrastructure code generation
  • 04 Test generation with TDD discipline
SCHEMATIC
sdlc with llm-in-the-loop
META-PROMPT SPEC GREEN DEPLOY PRD INTENT 01 Blueprint LLM 02 Docs LLM 03 Codegen TESTS FIRST CI/CD GH ACTIONS Production OBSERVED
01.02 SERVICE

Production RAG systems

Production-grade retrieval platforms — hybrid search and semantic reranking that serve ranked, cited sources to any AI consumer.

  • 01 Hybrid vector search — dense + SPLADE, fused with RRF
  • 02 Semantic reranking with cross-encoder models
  • 03 Retrieval-as-a-service — cited sources for any AI consumer
  • 04 Multi-source, webhook-driven ingestion with real-time sync
SCHEMATIC
rag pipeline
QUERY INGEST UPSERT / SEARCH CANDIDATES RANKED SOURCES CITATIONS User SLACK / MCP 01 Content Sources WEBHOOKS 02 Embeddings DENSE + SPLADE 03 Vector Index HYBRID 04 Reranker VERTEX AI 05 AI Consumers CLAUDE · AGENTS
01.03 SERVICE

MCP server development

Model Context Protocol servers that connect your knowledge systems to Claude Desktop, Claude Code and any MCP-compatible client.

  • 01 Streamable-HTTP transport implementation
  • 02 Tool and resource exposure for AI agents
  • 03 Claude Desktop and Claude Code integration
  • 04 OAuth-secured servers with role-based access control
SCHEMATIC
mcp server topology
TOOLS/LIST TOOLS/CALL Claude Desktop MCP CLIENT Claude Code MCP CLIENT 01 MCP Server STREAMABLE HTTP 02 Tools SEARCH 03 Resources KNOWLEDGE
01.04 SERVICE

Agentic AI products

AI-powered agents and conversational products that search, reason and act on your behalf within your existing tools and workflows.

  • 01 AI-powered Slack bots with agentic search
  • 02 Claude via Vertex AI Model Garden
  • 03 Tool-use patterns for LLM-powered workflows
  • 04 Closed knowledge loops — AI-assisted capture, human review, publish, auto-ingest
SCHEMATIC
slack agent loop
ASK COMPOSE Slack SOCKET MODE 01 Agent PYDANTIC AI Search TOOL Rerank TOOL Answer TOOL Reply BLOCK KIT
01.05 SERVICE

AI observability & evals

Make your AI systems measurable — tracing, retrieval-quality evals and usage analytics wired into the delivery pipeline.

  • 01 LLM tracing with Langfuse
  • 02 Golden-query eval gates in CI/CD
  • 03 Usage analytics with per-question interaction tracing
  • 04 Retrieval-quality measurement and tuning
SCHEMATIC
observability & eval loop
TRACES USAGE QUERIES PASS / FAIL AI System PRODUCTION 01 Tracing LANGFUSE 02 Analytics USAGE 03 Golden Evals RETRIEVAL QUALITY Deploy Gate CI/CD
01.06 ALSO

Multi-cloud infra & engineering excellence.

Multi-cloud AI infrastructure

  • 01 GCP Cloud Run, Cloud Tasks, Vertex AI
  • 02 AWS Lambda, API Gateway, Bedrock
  • 03 IaC (Terraform, AWS CDK)
  • 04 CI/CD pipelines with GitHub Actions

Engineering excellence

  • 01 Test-Driven Development with 90%+ coverage
  • 02 Pair Programming and code review
  • 03 Continuous Integration / Continuous Deployment
  • 04 Domain-Driven Design and microservices
// NEXT STEP

Ready to build a system that thinks with you?

An 8-week engagement takes you from question to deployed answer.

Start a project →