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AI Development

AI that does real work inside your product.

The value isn't a chatbot bolted onto a page. It's AI wired into your data and your workflows — answering accurately, taking action, and staying within guardrails you control.

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IntelligenceWhat reads, judges and answersAll six practices →
Built, not described

Real interfaces from this discipline.

All work →

An assistant grounded in the business's own answers

The business writes and approves an answer in the CMS; the assistant answers from that instead of improvising. When it has nothing approved, it says so rather than guessing.

Sanity Studio editing an AI Knowledge entry: the visitor question, the approved answer the business wrote, and a list of other ways people ask the same thing. Entries show as approved or draft.
AI Knowledge — the answers the business approves
The website assistant open on a demo business, answering a visitor question about treatments and pointing them to booking.
The assistant, answering from site knowledge
The assistant declining a product question: it explains it cannot look up product inventory because this site has no online shop connected, and offers services, hours and booking instead.
And saying so when it cannot help

2Tyme productTwo of our own demo systems shown side by side to illustrate the pattern — they are separate instances, not one wired to the other. Northwind is an invented business, not a client.

And AI products where the interface is the hard part

The Sightline session console: resume and job-description pickers beside a column of session controls.
Sightline — session console
The Sightline session panel close up: mode, interview type, difficulty, answer length, style, a detection threshold slider at 0.45, an objective field, and framework and domain switches.
Every control changes real behaviour

2Tyme productOne of our own products, shown with its built-in demo profile — fictional person, fictional company.

What it's for

Most AI in a product is a chat box that guesses. It is impressive in a demo and a liability the first time it invents an answer for a customer.

What gets built

The full scope of work.

AI agentsAgents that take multi-step actions across your tools, with the constraints and approvals that make them safe to deploy.
Website assistantsOn-site assistants grounded in your real content, so answers are accurate and on-brand instead of invented.
Knowledge basesYour documents, policies, and product data turned into a searchable, current source of truth.
Workflow automationAI that triages, drafts, classifies, and routes — removing the repetitive judgment work from your team's day.
LLM integrationsModels embedded into existing products with streaming, tool use, and cost controls done properly.
Retrieval systemsRAG pipelines that ground responses in your data and cite their sources, so you can trust the output.
How we approach it

A way of working built for this discipline.

  1. Find the high-value task

    We start where AI clearly pays off — a costly, repetitive, judgment-heavy task — not a demo for its own sake.

  2. Ground it in your data

    Retrieval and evaluation so the system answers from your truth, and we can measure when it's wrong.

  3. Add guardrails

    Constraints, approvals, and fallbacks so the system fails safely and stays inside the lines you set.

  4. Measure & tune

    We track accuracy, cost, and latency in production and tune against real usage, not benchmarks.

What we build with
ModelsFrontier LLMs · Open-weight models · Embeddings
RetrievalVector DBs · Embeddings · RAG pipelines
AppNext.js · TypeScript · Python · Streaming
What you get
  • Answers grounded in your data, with sources
  • Repetitive judgment work taken off your team
  • Accuracy, cost, and latency you can actually see
Built in this discipline

Where you can see it working.

All work →
The Sightline session console: a dark two-column layout with resume and job-description pickers on the left, and session controls on the right including mode, interview type, difficulty, answer length, style, and a detection threshold slider set to 0.45.
AI product interface

Sightline

A real-time interview copilot: a dense control station for transcription, question detection, and answer shaping — with the ethics boundary stated on the page.

2Tyme product

The website assistant open on a demo business, answering a visitor question about treatments and pointing them to booking.
AI website assistant

Website Assistant

An on-site assistant that answers from answers the business wrote and approved — and says plainly when it has nothing approved to give.

2Tyme product

Questions

Good questions, answered straight.

We ground responses in your data with retrieval, constrain what the system can say and do, and evaluate accuracy continuously. Where confidence is low, the system defers instead of guessing.

Where it connects

Grounded in the content system rather than bolted onto the page: the business writes and approves the answer, and the assistant is only allowed to use that.

Other practices

Scope it in a few minutes.

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