Rapid Prototyping with AI
From idea to working prototype in hours, not weeks. The tools and workflows we use daily.
Dan Montgomery
Feb 18
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A curated archive of experiments, insights, and field notes from building AI tools.
From idea to working prototype in hours, not weeks. The tools and workflows we use daily.
Dan Montgomery
Feb 18
Why monospace matters and how we choose fonts for data-heavy interfaces.
James Porter
Feb 17
Transparency, documentation, and open development—the foundations of community trust.
Lisa Chen
Feb 16
Practical techniques for staying within limits while maintaining responsiveness.
Sarah Kim
Feb 15
What we learned watching people interact with AI for the first time.
Marcus Johnson
Feb 14
Tools that run our lab—from deployment to monitoring.
Aisha Rahman
Feb 13
Loading states, errors, and ambiguity—the reality of AI interfaces.
James Porter
Feb 12
Can free knowledge pay the bills? Our experiment in sustainable open source.
Dan Montgomery
Feb 11
Making the most of limited LLM context through smart chunking.
Sarah Kim
Feb 10
Why we borrowed visual language from scientific instruments.
James Porter
Feb 9
Beyond vanity numbers—what actually indicates a healthy dev community.
Lisa Chen
Feb 8
What happened when we tried dictating documentation instead of typing.
Marcus Johnson
Feb 7