AI & agents
Ship AI that does real work
From LLM-powered features to fully autonomous agents, CodeMink builds practical, production-grade AI — with the engineering discipline to run it safely.
AI development
We embed intelligence into your product — chat assistants, semantic search, document understanding, summarization, and classification.
- LLM application development (Claude, GPT, open models)
- Retrieval-augmented generation (RAG) over your data
- Prompt engineering, evals, and guardrails
- Fine-tuning and model integration
Agentic AI
Goal-driven agents that reason, call tools, and take actions across your systems — not just chat, but get work done.
- Tool-using agents with function calling & MCP
- Multi-agent orchestration and planning
- Human-in-the-loop approvals where it matters
- Memory, context, and state management
Autonomous workflows
End-to-end automation that runs unattended — triggered by events, observable, and safe to operate in production.
- Event-driven and scheduled automations
- Data pipelines and back-office process automation
- Integrations across your SaaS and internal tools
- Monitoring, logging, and fail-safes
Where it pays off
Common things our clients automate
Our approach
Practical AI, built to last
We treat AI like software engineering, not a demo. That means evaluation, observability, and guardrails from day one — so what we ship keeps working after launch.
Start with the outcome
We scope to a measurable business result, then pick the simplest approach that delivers it.
Evaluate relentlessly
Automated evals and test sets keep quality honest as prompts and models change.
Keep humans in control
Approvals, audit trails, and safe defaults for any action with real consequences.
Own your stack
No lock-in — you keep the code, the data, and the freedom to switch models.
Have an AI idea? Let's pressure-test it.
Bring us a workflow or product idea and we'll tell you, honestly, what's feasible today — and how we'd build it. Email jay@codeminks.com or start below.