Services

Scoped engagements that end with your team owning the system.

Every engagement starts with a baseline you can see and ends with a handover: prompts in your repo, evals in your CI, and a runbook that does not need us.

2 weeks

Prompt System Audit

We take your existing prompts apart and rebuild them as a layered, versioned system with rules that can be tested.

  • Every prompt restructured into role, inputs, rules, output contract, refusals, examples
  • Contradictory and unverifiable instructions removed, with a changelog
  • A 30-example eval set with graders and a before/after score
  • Prompt files in your repo, versioned and logged per response
3 weeks

AI Content Pipeline

A five-stage workflow that removes blank-page friction without flattening your voice into generic AI prose.

  • Brief template that captures point of view before any drafting
  • Outline and section-by-section drafting prompts tuned to your samples
  • A voice profile extracted from your best existing writing
  • Fact-check and link-verification checklist built into the workflow
4–6 weeks

Retrieval & LLM Integration

Retrieval that returns the right context, and model calls your application code can actually depend on.

  • Structure-aware chunking with heading context preserved
  • Hybrid keyword and vector search fused, plus a reranking stage
  • recall@k and precision metrics reported separately from answer quality
  • Grounded generation with inline citations and a real escape hatch
2 weeks

Evaluation & Monitoring

Stop shipping regressions. A harness that runs on every prompt, model, or retrieval change.

  • Deterministic checks, exact-match scoring, and a calibrated judge prompt
  • CI integration reporting pass rate, schema validity, latency, and cost
  • Production logging of prompt version, retrieved IDs, and output
  • A runbook your team uses without us

Not sure which one?

Most teams start with the audit, because it produces the baseline every other piece of work is measured against.

Book a scoping call