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AI features that survive production.

For teams moving AI from demo to production. LLM features and agents, engineered and evaluated.

Architecture audit
Spec sheet
Timeline
4–12 wks
Team
2–4
Price
Quoted in your currency after a short call
Platforms
Claude, OpenAI, open models

ProblemSound familiar?

  • A demo that never shipped
  • No way to know if the model got worse
  • Costs that spike unpredictably

We engineerWhat we engineer

Retrieval, tools and agents with evaluation suites, cost controls and fallbacks — measured like any other system.

ArchitectureTypical architecture

  1. Product surface
  2. Orchestration + tools
  3. Retrieval store
  4. Evals + monitoring

CapabilitiesCapabilities

  • RAG and search
  • Agents and tool use
  • Evaluation harnesses
  • Cost and latency tuning

DeliverablesDeliverables

  • Production feature
  • Eval suite in CI
  • Monitoring dashboard

ProcessProcess

Stage 1 of 6 · click a stage to stay on it
Week 1

Discover

We learn the business before the brief: the metric that matters, the constraints, the people involved.

Done whenEveryone agrees on the goal, the metric and its baseline.
What happens
  1. Kick-off workshop with your decision-makers
  2. Access to analytics, code and tools
  3. Agree the one metric this work must move
You get
  • Kick-off notes and a shared goal
  • Access checklist
  • Named pod lead
From you
~2 hours for the workshop, plus access to your systems
Who’s involved
Pod lead + engineering lead

  1. We learn the business before the brief: the metric that matters, the constraints, the people involved.

    What happens
    1. Kick-off workshop with your decision-makers
    2. Access to analytics, code and tools
    3. Agree the one metric this work must move
    You get
    • Kick-off notes and a shared goal
    • Access checklist
    • Named pod lead
    From you: ~2 hours for the workshop, plus access to your systems · Done when: Everyone agrees on the goal, the metric and its baseline.

StackStack

Claude APIOpenAIpgvectorLangGraphCloudflare Workers

WorkWork like this

All work →

Ways to start

AI Systems usually starts with the step marked below. Every price excludes 18% GST; the audit fee is credited in full to the work that follows. Outside India we quote in your currency after a short call.

  1. 01Usual start for this

    Website & Commerce Audit

    Quoted in your currency

    What’s costing you sales, ranked by what to fix first. The fee is 100% credited to a project signed within 60 days.

    Choose an audit →
  2. 02

    Fix Sprint

    Quoted in your currency

    Speed, checkout, tracking and technical SEO, fixed in 2–3 weeks on the platform you already have.

    Plan a sprint →
  3. 03

    Build

    Quoted in your currency

    Business websites, Shopify stores and migrations, and Shopify Plus. Firm quote after scoping.

    Brief a build →
  4. 04

    Retainers

    Quoted in your currency

    Care, growth and dedicated pods to keep improving what shipped. 3-month minimum (6 for a dedicated pod).

    Talk about a retainer →
Questions

AI Systems, asked often.

All questions →

Yes. We start with an architecture review, document what exists, and agree what to keep, refactor or replace before writing new code.

Start

Start with AI Systems.

Architecture audit
Related:AI TestingAutomation SystemsAI Commerce
Work

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