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AI Integration · 5 fixed menus

Add a production-ready AI feature to your product. 2–4 weeks, fixed price.

Pick from five menus — RAG chatbot, summarisation, recommendation, image analysis, custom pipeline. We integrate it into your existing system. Regression on existing features is in scope, not optional.

Get a free integration plan Free initial assessment · Just paste your product URL · Reply within 1 business day

Common situations

"We want AI in the product. We have no AI engineer. The quotes scare us."

AI Integration is for the moment when you know which AI feature you want, but adding it touches an existing codebase, an existing database, and existing users. The hard part is the integration, not the model.

Situation 01

You want to add AI. You have no AI engineer. Hiring one is a six-figure annual commitment.

You need the feature, not the role.
Situation 02

You wired up ChatGPT API in an afternoon. Accuracy is unacceptable; the integration with your product is fragile.

The 80% that AI handles is easy. The 20% that breaks production is the part nobody talks about.
Situation 03

An AI consultancy quoted $50,000 and three months. You cannot wait three months, and you cannot pay $50,000.

5 menus, fixed price, 2–4 weeks. Pick and go.

Before → After

What changes in 2–4 weeks.

The AI Integration deliverable is a working feature inside your existing product — not a separate AI app, not a slide deck, not a demo.

Day 0 · Before
  • "We need AI in the product" with no engineer to ship it.
  • Existing system integration is the unknown — and the unknown is expensive.
  • No baseline for "accurate enough." No evaluation set. No test report.
  • Data exists somewhere; nobody is sure if it is usable.
Launch · After
  • AI feature running inside your existing product, on your existing infrastructure.
  • Accuracy tested against an agreed evaluation set, with a written test report.
  • Operating manual + monitoring setup + tuning guide handed over.
  • Zero regression on existing features — contractual condition for launch.

Why 2–4 weeks, not 3–6 months

The hard part is the integration. We have already done it three times — on our own products.

AI SIers spend most of their time on tooling we built for ourselves. We resell the result.

01 · Our own products first

Three products, three live AI integrations

Tsunagu (community marketplace), Dr. Unco (AI health checkup), and L-career (Labuan job platform) — all three run AI features in production today. We know what breaks in production because we operate it ourselves.

02 · Reused, not rebuilt

The repeatable part is repeatable

Pipeline scaffolding, evaluation harnesses, monitoring dashboards — already built for our own products. Engineers spend 2–4 weeks on the part that is genuinely your codebase, not on inventing infrastructure.

03 · Accuracy is a deliverable

Accuracy is a deliverable

Every integration ships with an evaluation set we built with you, a written accuracy report, and a tuning guide. If targets are missed, iteration is included — not billed.

How it works · 4 phases

From free assessment to live AI feature.

All four phases inside one calendar month for the simpler menus.

Phase 1

Free initial assessment

Submit your existing product URL and the AI capability you have in mind. AI agent reviews and we return a written assessment: feasibility, recommended menu, accuracy expectation, and risks. No commitment.

Free · NDA / DPA signed first

Phase 2

$500 Tech Investigation

2 hours, paid. Code review, integration approach, regression risk assessment, accuracy expectation, final quote and timeline. Credited toward the build if you continue.

$500 · 2 hours · 1 week turnaround

Phase 3

Integration build

2–4 weeks depending on menu. Weekly demo, GitHub real-time visibility, daily Slack updates. Integration design → AI feature build → integration test → accuracy test → staging → production.

$5K–$15K · Per-menu schedule

Phase 4

Optional ongoing maintenance

$1,000/month: accuracy monitoring, tuning, prompt iteration, new-model evaluation. Cancel any time. Most clients run it for 3–6 months and then take operation in-house.

Optional · Month-to-month

Why this works at this price

The numbers behind $5K.

A typical AI SIer quotes $50K and 3–6 months. We deliver in 2–4 weeks at one-fifth to one-tenth of the price, with regression-pass as a contractual condition.

1/10×Cost vs typical AI SI

SI quotes for the same scope run $50K–$200K. Menu-based pricing removes the discovery phase and the contingency padding that drives those numbers.

1/3×Time vs AI consultancy

AI consultancies typically deliver in 3–6 months. Our 80%-templated workflow compresses that to 2–4 weeks without skipping evaluation or accuracy testing.

3Production AI integrations we run

Tsunagu, Dr. Unco, and L-career. We have integrated AI features into production systems with real users — and operate them. We are not learning on your codebase.

What you can rely on

Five rules that govern every AI integration.

Not stretch goals — rules. Same on every AI Integration engagement, regardless of menu.

  • Day-1 ownership

    All AI integration code lives in your repository from the first commit. Prompts, evaluation sets, fine-tuning data, monitoring config — all yours.

  • NDA before tech

    NDA and DPA are signed before the free initial assessment. Product URL, codebase, and data samples are under written confidentiality.

  • Regression pass

    100% pass on existing features is a launch condition, not a target. If we cannot ship without regression, we do not ship.

  • Accuracy report

    Every integration ships with a written accuracy report against an agreed evaluation set. If targets are missed, iteration is included.

  • No model lock-in

    You can swap models without rewriting the integration. We design with provider-agnostic interfaces — OpenAI today, Claude tomorrow, your own model later.

FAQ

Five questions before you pick a menu.

Specific case not here? Add it to the form message field. Reply within one business day.

What if we have no AI engineer in-house?
That is precisely who this service is for. You pick a menu, we deliver a working AI feature integrated into your existing product with an operating manual. No AI engineer hire required, no training program, no ramp.
What about the existing features?
Regression on existing features is part of the contract — 100% pass before launch. We never trade existing functionality for new AI capability. If a regression cannot be resolved inside the engagement, we do not launch and you do not pay for the integration phase.
How accurate will the AI feature be?
Accuracy testing is a deliverable. We define the target with you upfront (typically 90%+ on the task), build the evaluation set together, and deliver a test report with the integration. If the target is not met, we iterate at no extra cost.
Why is this not 3–6 months like an AI SI?
We reuse patterns from AI features we have already built and run in our own products — Tsunagu, Dr. Unco, and L-career. Evaluation harnesses, monitoring dashboards, and integration scaffolding do not start from zero. Engineers spend 2–4 weeks on the part that is genuinely your codebase; AI SIers spend most of their time on tooling we have already built and operate.
What about ongoing accuracy and tuning?
Optional monthly maintenance ($1,000/month) covers monitoring, tuning, prompt iteration, and any new model evaluation. You can cancel any time. Most clients run it for 3–6 months after launch and then take operation in-house, with the operating manual we delivered.

Get an integration plan

Paste your product URL. Get a free integration plan.

Reply within 1 business day with a written feasibility + menu recommendation — no commitment, no payment, NDA first.

  • NDA signed before any technical discussion — including the free assessment.
  • If no menu fits, we say so and recommend a custom engagement instead.
  • Regression-pass on existing features is a contractual launch condition.
  • $5K–$15K · 2–4 wk
  • 5 menus
  • 100% regression
  • Accuracy report

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