Everyone has the same AI. The 100x people taught theirs how they work — with skills. Distill captures your process and turns it into reusable skills automatically.
You spend all day solving hard problems — debugging, designing, configuring, researching. By evening, the work is done but the knowledge is gone.
Tomorrow, you'll solve a similar problem from scratch. So will your AI — because it has no memory of the process you just perfected.
The bottleneck is never the model's intelligence. Models know how to reason. They fail because they don't understand your data, your conventions, your particular shape of problem.
Every skill you write is a permanent upgrade to your system. It never degrades. It never forgets. And when the next model drops, every skill instantly gets better.
The secret isn't a smarter model. It's giving your AI the right context, at the right time, without drowning it in noise.
Real-time observation, session synthesis, drift detection, pattern recognition, and self-improving rules. Each skill is reusable and gets smarter with every session you record.
The macOS app does four things: captures your screen, pipes data to the right skill, stores results, and enforces privacy. It stays simple so the skills can be rich.
Same input, same output. Every time. Screenshot capture, local database, markdown export. The foundation everything runs on.
Record your work. AI extracts the knowledge. Skills compound over time.
Start a session. Distill captures your screen at optimized intervals while AI watches in real-time — extracting observations every 10-15 seconds. Zero performance impact, zero friction.
When you stop, the model reads every observation and produces a structured report: phases, steps, screenshots, key decisions. One-page intelligence from hours of work — the documentation you'd never write manually.
Workflows become reusable skills. After 10+ sessions, the system sees patterns you can't — which approaches work, where you waste time, when your focus fades. It proposes new rules. You approve. The system gets smarter.
Each capability learns from your work. The more you use Distill, the better it understands how you think.
AI observes your screen every 10-15 seconds. Extracts what you're doing, which tools are active, what changed.
Reads all observations and produces a structured brief: phases, steps, tools, decisions. One-page intelligence.
Detects when you're stuck or off-task. Nudges with context-aware suggestions — not generic productivity alerts.
"You debug 2x faster when you reproduce first." Insights that only emerge after watching you work over weeks.
After every 10 sessions, the system proposes new rules from your patterns. You approve. Skills get smarter. Permanently.
Skills are just procedures. Write one, and your AI learns a new capability tailored to your specific workflow.
Other tools analyze the same way on day 1 and day 1,000. Distill gets better at understanding YOUR work by watching YOU work.
Hit record, work normally. AI captures observations in real-time, synthesizes structured steps when you stop.
After 10+ sessions, the system sees what you can't: where you waste time, which approaches work, when focus fades.
The self-improvement skill reads your sessions and proposes rules. You approve. They get written into active skills.
Every session feeds the loop. Skills get smarter. Nudges get more relevant. Your personal AI isn't generic anymore — it understands your craft.
Turn debugging sessions, architecture decisions, and deployment workflows into reusable skills your AI can reference next time.
Capture feature explorations, analytics investigations, and stakeholder workflows. Transform tacit knowledge into teachable skills.
Record your design process — explorations, iterations, decisions. Build a library that makes AI understand your taste.
Like Strava for runners, Distill shows you how you work. See patterns, track improvement, get nudges that matter.
Every workflow you capture is a permanent upgrade. It never degrades. It never forgets. The system compounds.
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