AI Integration & Guidance

# AI Integration & Guidance

## Navigate AI with a team that builds with it every day.

We help companies add AI capabilities to existing products, turn AI prototypes into production software, and make strategic decisions about where AI creates real value versus where it's just hype.

[Talk AI Strategy →](https://calendar.app.google/5xBrWfMguyk3j2sHA)

## Why Us

We're not an AI consultancy that talks about AI. We're a product studio that uses AI as a core part of how we design and build every day.

Our developers build with Claude Code and Cursor. Our designers generate interactive React prototypes from design feedback in hours. We've automated user research synthesis, component generation, and rapid prototyping using AI tools across our entire workflow.

We've also designed and built AI-native products for clients — including the first generative AI interface for power grid operations, used by operators managing electricity for millions of people. We understand AI not as an abstraction, but as a material we work with constantly.

That hands-on experience means we can give you practical, grounded guidance — not theoretical frameworks.

## What We Offer

### AI Feature Integration
You have an existing product. You want to add AI capabilities — intelligent search, natural language interfaces, automated workflows, recommendations, or content generation. We help you figure out where AI adds genuine value (and where it doesn't), then design and build the integration.

This isn't about bolting a chatbot onto your sidebar. It's about identifying the workflows in your product where AI meaningfully reduces friction, improves accuracy, or enables something that wasn't possible before.

### Post-Vibe-Code Refinement
You built a prototype using AI tools — Bolt, Lovable, Claude, Cursor, or similar. It works. Kind of. Now you need it to be a real product.

We take AI-generated codebases and turn them into maintainable, scalable applications. That means UX auditing, design system creation, edge case design, technical refactoring, and the hundred other things that separate a prototype from a product people pay for.

Typical engagement: $25-60K to go from AI prototype to market-ready product — a fraction of a from-scratch build.

### AI Product Design
Designing interfaces for AI features is a distinct design challenge. AI outputs are probabilistic, not deterministic. They take time. They can be wrong. Users need to understand what the AI is doing, trust its outputs, and have clear paths when it fails.

We've designed AI interfaces across industries — from energy grid AI assistants that search operating procedures and scan outage data, to AI-powered photo editing in real estate marketplaces. We understand the UX patterns that make AI features feel helpful instead of confusing.

### AI Strategy & Advisory
Not sure where to start? We offer focused advisory engagements to help you evaluate where AI fits in your product and business. We audit your current product, identify the highest-impact opportunities for AI integration, and produce a prioritized roadmap.

This isn't a slide deck exercise. It's a hands-on assessment by people who build AI-integrated products.

## The Market Shift

AI is compressing product development timelines and budgets. Projects that were four months and $200K are now eight weeks and $60K. That's real.

But compression creates its own problems. Founders arrive with functional prototypes that lack the design thinking, edge case handling, and architectural soundness that real products require. Companies add AI features without understanding how they affect user workflows. Teams adopt AI tools without a strategy for when to use them and when not to.

The opportunity isn't in replacing human judgment with AI. It's in combining AI speed with human expertise — and knowing which is needed when.

## Who This Is For

**Companies with existing products** looking to add AI capabilities strategically, not reactively.

**Founders with AI-built prototypes** who need professional design and engineering to make them market-ready.

**Enterprise teams evaluating AI** who want practical guidance from people who build with AI daily, not vendor pitches.

**Startups building AI-native products** who need a product team that understands the unique design and development challenges of AI features.