AI • Engineering • Commerce

Practical AI & commerce engineering for teams shipping real systems.

Sprints, checklists, and deep dives covering GenAI architectures, composable commerce, and everything needed to get from prototype to production.

Ask the AI search Vector DB 2025 guide Explore topics

30+
AI builds shipped: 15
Years in commerce: ~90
Playbooks & gists

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Grounded answers over the guides, benchmarks, and demos on this site — with citations back to the source.

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Featured

Lab drops

Interactive demos and long-form guides you can fork or run locally.

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Benchmark

Vector DB 2025 field guide

Scenario-driven benchmarks, fit scoring, and docker-compose starters for the leading vector databases.

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RAG demo

AI support chatbot demo

Pinecone + OpenAI RAG stack with guardrails, citations, and analytics instrumentation you can fork.

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Hands-on

Drug catalog semantic search

Synthetic 10k product dataset with semantic ranking, filters, and Pinecone tuning notes.

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Capabilities

What we’re shipping

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RAG • Eval

GenAI systems

RAG architectures, evaluation harnesses, and production guardrails that scale.

Agents

LLM apps

Agent design, orchestration patterns, and conversational UX shipping in weeks.

Composable

Commerce & cloud

Modernizing SAP Hybris, composable commerce, and platform engineering playbooks.

Templates

Lab experiments

Templates, prototypes, and evaluations ready to clone into your next sprint.

From the writing

Recent excerpts

Vector DB selection isn’t just recall — map operations, team skills, and cost tolerance into a fit score.

Vector DB 2025 field guide

Guardrails live beyond moderation. Treat eval suites as regression tests and ship them with every pipeline.

LLM & agent evaluation

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Launch checklists and architecture diagrams from client deliveries.
Breakdowns of the experiments, prompts, and eval harnesses in the lab.
Templates you can fork: terraform, pipeline jobs, orchestration flows.