/WHERE AI HELPS/
Where AI brings value to our work
The three areas where AI saves the most time for our team and our clients.
Development
Code drafts, refactoring, tests, and documentation, always reviewed by an engineer.
Design
Research synthesis, content drafts, and faster exploration of layout options.
Prototyping and research
Clickable prototypes and quick technical spikes to test ideas before full builds.
/AI TOOLS/
Services and tools we use
The AI tools our team uses in design, development, research, and the AI features we build.
Design
Figma AI
Framer AI
Development
Cursor
GitHub Copilot
Claude Code
Codex
Research and docs
Notion AI
Claude
ChatGPT
Slack AI
AI features we build
OpenAI API
Anthropic API
LangChain
Python
Supabase Vector
Vertex AI
AI takes on the routine work. People make every product decision and review every line that ships.
/AI UNDER CONTROL/
Approved tools only, a person reviews everything AI produces, and client credentials or personal data never go into third-party models.
/AI IN DEVELOPMENT/
AI in development
How engineers use AI day to day, and where a person always stays in charge.
Faster coding with review
AI drafts boilerplate, tests, and refactors. Engineers review and own every change.
Automated testing
Generate test cases and edge cases, then run them in CI on every release.
Code and documentation search
Find answers across the codebase, API docs, and past decisions in seconds.


/AI IN DESIGN/
AI in design
How designers use AI for research, exploration, and prototypes without losing craft.
Research synthesis
Summarize interviews, reviews, and analytics into clear user insights.
Faster exploration
Try more layout and content options early, then refine the best ones by hand.
Clickable prototypes
Turn flows into working prototypes for testing in days, not weeks.
/AI IN NUMBERS/
What AI changes in our process
55.4%
Less time on routine code
-70%
Less time to first prototype
25+
Projects with AI features shipped
92%
Test cases generated with AI and reviewed by QA
/USE CASES/
AI use cases
Examples of AI features and workflows we build into web and mobile products.
AI assistants in health apps
Chat assistants that answer questions and guide users through the product.
Predictive analytics
Risk scores and trends from product data, shown in clear dashboards.












