Solution / AI

Add AI to SaaS

Integrate AI into an existing SaaS product without adding fragile demos or uncontrolled cost.

/ Outcome

Launch outcome.

A measurable AI workflow with retrieval, evals, observability, and fallbacks.

/ System

/01

The implementation

We pick the workflow, wire context and tools, add logging, and ship behind controlled usage limits.

  • RAG design
  • Tool registry
  • Eval set
  • Cost dashboard
/ FAQ

Questions founders ask.

Can this work with our existing app?

Yes. We can add AI to an existing product through APIs, queues, and focused UI changes.

/ Services

Services that ship this

AI/INT

AI Integration

Assistants, retrieval, automations, and copilots that are observable, cost-capped, and useful.

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STARTUP/AAS

Startup-as-a-Service

Strategy, design, engineering, AI, cloud, and launch support from one operating team.

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/ Technologies

Stack involved

AI

OpenAI

Production AI features for assistants, RAG, tool use, summarization, and workflow automation.

Open page ->

Frontend / full-stack

Next.js

Fast app-router websites, SaaS dashboards, CMS frontends, and product interfaces.

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Database

PostgreSQL

Reliable relational data for SaaS products, marketplaces, internal tools, and analytics loops.

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/ Solutions

Other build paths

Solution / launch

Build an MVP

Turn a product idea into a focused, investor-ready, user-testable MVP.

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/ Posts

Articles for this path

Article

AI Features That Ship Versus AI Features That Demo

Useful AI features need fallback paths, eval data, human review, and cost ceilings. The demo is only the start.

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/ Case study

Proof from the build floor

Field report

FieldLab.ai

A working MVP and AI copilot shipped ahead of a fundraise deadline.

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Add AI to my product