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~/services/ai · 03

AI Engineering & Integration

AI that does real work. LLM features, agents and automations wired into the products and tools you already use, with the evals and guardrails to trust them in production.

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categories
6
skills
24
tools
7

Skill set

6 categories

01

LLM features

Chat, search, summaries and data extraction built on the Claude and OpenAI APIs, with streaming responses and structured output your code can rely on.

  • Claude API
  • OpenAI API
  • Structured output
  • Streaming

02

Agents & automation

Assistants that call your APIs, read your docs and finish multi-step tasks, connected through tool use and MCP servers to Discord, business apps and internal tools.

  • Tool use
  • MCP servers
  • Workflows
  • Discord & app bots

03

Your data

Retrieval over your own documents and databases: ingest, chunk, embed and search, so answers come from your sources and say which one.

  • RAG
  • Embeddings
  • pgvector
  • Document ingest

04

Production

Evals that catch regressions before users do, caching and model choice to keep cost and latency down, and logging to see what the model actually did.

  • Evals
  • Prompt caching
  • Guardrails
  • Observability

05

Voice & vision

Features that read images, documents and screenshots, or that talk and listen: transcription, voice assistants and visual checks.

  • Vision models
  • Document parsing
  • Speech-to-text
  • Text-to-speech

06

Chatbots & support

Support assistants for your website or Discord, answering from your own docs and handing over to a person when they aren't sure.

  • Support bots
  • Website chat
  • Human handoff
  • Knowledge bases

// what you get

  • Working AI feature or agent
  • Eval suite
  • Cost and usage report
  • Docs and handover

// tools

Claude API / OpenAI API / Python / TypeScript / Vercel AI SDK / pgvector / MCP