How We Use Proof, a Collaborative Editor for Humans and AI
Every's founders launch Proof, a collaborative markdown editor designed for humans and AI agents to work together in real-time. The episode explores how Proof evolved from a provenance-tracking tool into a lightweight document platform that has transformed how the Every team collaborates with AI agents like Claude, enabling a new workflow where humans and agents can co-author, comment, and iterate on documents seamlessly.
Key takeaways
- • Agent-native products don't require agents built into the tool itself; they can be designed so external agents (like Claude) can seamlessly integrate and collaborate alongside humans.
- • The key insight of Proof is that text is cheap to produce, so the workflow should prioritize rapid ideation, agent-assisted drafting, and human refinement rather than trying to track every word's origin.
- • Collaboration between humans and agents works best when there's a canonical document that humans control, with agents creating alternative versions that can be selectively integrated rather than agents freely editing the main document.
- • Creating good plans upfront with agents produces exponentially better results than asking agents to execute vaguely defined tasks—Proof serves as the ideal space to collaboratively build these plans before execution.
- • Not all writing benefits equally from AI; information-dense documents (technical specs, summaries, logs) are better read and processed by agents, while creative and personal writing (essays, stories) should remain human-focused.
- • The simplicity and low friction of Proof—no login required, just paste a link for agents to access—has proven more valuable than complex features, making it ideal as an open-source component for other builders.
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