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Specialized practiceAI Agents & RAG

AI Agents & RAG.

Agents that read your docs and ship work.

We build retrieval-augmented systems and tool-using agents that work on real corpora. Indexing pipelines, hybrid retrieval, evals against ground truth, and the unglamorous plumbing (auth, audit logs, rate limits) that turns demos into products.

Typical projectRange · timeline · what's bundled

Typical range

$9,000 – $45,000

USD · standard scope

Timeline

3–10 weeks

From kickoff to launch

Engagement

Fixed-fee or T&M

Whichever fits the scope

Want a number tuned to your scope?

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What's includedPer engagement

Deliverables

  • Document ingestion pipeline
  • Hybrid retrieval (vector + keyword)
  • Agent orchestration
  • Eval suite vs ground truth
  • Audit logs & observability

Outcomes

  • Grounded answers
  • Tool use that works
  • Auditable behavior

Typical stack

Claude / GPTPinecone / pgvectorLangGraph / customBedrockAWS
How we engageSame rhythm, every project

From first call to production launch.

1–2 days

01

Discover

30-min call + a written take. We map risks, assumptions, and the real scope behind your ask.

1–2 weeks

02

Design

Architecture, schemas, and the smallest thing we can ship to learn. Sign-off before code.

Tight loops

03

Build

In your Slack daily. Weekly demos against staging. PRs with notes, not status emails.

+ runbook

04

Ship

Production launch with a runbook your team can operate. Optional retainer for ongoing care.

Get StartedBuild a brief in three minutes

Ready to scope a ai agents & rag project?

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