LLM product features
Summarization, extraction, drafting, scoped assistants — built into your product with structured outputs, eval suites that gate deploys, cost/latency budgets, and honest fallbacks for when the model is wrong, slow, or down.
Services
Retrieval & document intelligence
Q&A and search over your own documents, with grounding and citations — and honest scoping: retrieval quality is a data-cleanup problem before it is a model problem, and we say which yours is on the scoping call.
Reviewed automations
Internal workflows where AI drafts and humans own: classification, routing, report generation. The aiautomation playbook from our network, applied to your operations with logging and a named owner.
Integrations & MCP
Wiring models to your tools and data — including MCP server development for your internal systems, built to the least-privilege and evaluation standards our aimcp.io reference documents in public.
Service questions
Which stack and models do you build on?
Yours where it exists, boring-and-proven where it does not: mainstream model APIs chosen per task (not per fashion), standard cloud infrastructure, MCP for tool integration where it fits, and your existing databases and auth rather than parallel shadow systems. Model choice is an engineering decision we document with the tradeoffs — the eval harness, not the announcement cycle, picks the model.
What do you refuse to build?
Customer-facing AI with autonomous authority over money, accounts, or commitments; systems whose failure mode is silent (no logging, no review); scraping schemes against terms of service; and anything designed to pass AI output off as human judgment in regulated contexts. The refusal list is the same one our whole network operates under, applied to code.
Who owns what at the end?
You own everything: code in your repos, infrastructure in your accounts, documentation written for the next engineer (not for us), and the eval suites that gate future changes. Handover is a deliverable with its own acceptance criteria, because a consultancy your systems cannot survive leaving is a dependency, not a vendor.