Kensink Labs
SERVICE · LLM APPS · FIXED SCOPE

LLM apps that hold up in production.

We build the retrieval, the guardrails, and the eval that turn a promising demo into an app you can put in front of real users. Direct against the model API, measured before it ships.

Who it's for: Product teams whose LLM feature works in a notebook but drifts, hallucinates, or costs too much the moment real traffic hits it.

THE OFFER
Outcome
LLM feature in productionnot hours billed
Engagement
Fixed scope
Timeline
8 weeks
Investment
from $32,000+ optional care retainer
Handoff
Full source + ownership
IN SCOPE

What the engagement covers.

  • One LLM feature scoped to a clear user job
  • Retrieval (RAG) over your content with citation checks
  • An eval suite gating accuracy, refusal, and cost
  • Prompt-injection review of the user boundary
  • Token and cost telemetry per route
  • A runbook and one paired handoff week
OUT OF SCOPE

What we would quote separately.

  • Training a foundation model from scratch
  • A net-new data platform or labeling operation
  • Unlimited model providers or fallbacks
  • A net-new front-end product
  • Ongoing prompt authoring after handoff
DELIVERABLES

What lands at handoff.

  • The LLM feature, deployed and serving traffic
  • A retrieval layer with citation accuracy measured
  • The eval suite and its ship gate
  • Cost and latency dashboards per route
  • Full source code with complete ownership
  • One paired week with your team
TIMELINE · 4 PHASES

8 weeks, problem to production.

  1. 01
    Weeks 1 to 2

    Scope and evals

    Name the user job, assemble a labeled eval set, and set the accuracy and cost bars.

  2. 02
    Weeks 3 to 5

    Build retrieval

    Ground the model in your content with a retrieval layer that cites its sources.

  3. 03
    Weeks 6 to 7

    Harden and cost-tune

    Guard the prompt boundary, cut token cost, and close the eval failures.

  4. 04
    Week 8

    Ship and hand off

    Deploy with telemetry and a runbook, and pair with your team on a change.

SERVICE LEVELS

The SLA this service runs under.

During the build and through the warranty window after handoff. This engagement defaults to Priority.

CommitmentStandardPriority
First responseNext business dayWithin 4 business hours
Critical issue triage1 business day2 hours
Production uptime target99.5%99.9%
Support hoursMon to Fri, business hoursExtended, plus weekend on-call
Change requests / month2 includedUnlimited within retainer
Post-launch warranty30 days90 days
Named delivery leadSharedDedicated

Standard ships with every fixed-scope build. Priority comes with a care retainer. Pricing is a starting range; final terms are set in the statement of work.

Read the full LLM Apps capability page
READY WHEN YOU ARE

Bring one real problem.
We'll bring the spec.

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