Person profile
Co-founder & CEO at Every.
Tools Dan Shipper has publicly discussed or demonstrated using. Curated by Magpie's editorial team from podcasts, posts, and public stacks.
Dan Shipper is co-founder and CEO of Every and host of the AI & I podcast. He writes long essays in which he names every AI tool he tests; the essays are explicit about what works, what doesn't, and what's worth a recurring monthly fee.
Shipper is one of the most prolific public users of Claude in the operator-essayist space. He publishes long-form Every essays about specific Claude prompts and workflows for thinking, writing, and feedback loops, and his AI & I podcast features Anthropic team members and Claude users walking through their workflows. His essays are explicit about what's worth a monthly fee versus what isn't, and Claude consistently ranks at the top of his stack.
Long-time ChatGPT user; Shipper has interviewed founders, filmmakers, writers and investors specifically about how they use ChatGPT on the AI & I podcast. He frames ChatGPT as the canonical default LLM and uses it as the reference point against which Claude and other model choices get compared in his Every essays.
Shipper has interviewed the Cursor team and Nat Eliason about Cursor best practices on AI & I, and documents his own Cursor workflow in long-form essays at Every. The Eliason episode covered 'how coding with AI is creating new behaviors in programming' as a central thesis. Cursor is consistently named in his AI engineering coverage as the inline-editor option that matters.
Shipper interviewed Kieran Klaassen and Cora engineer Nityesh Agarwal on AI & I about how they're compounding their engineering work with AI, walking through their workflow in Anthropic's agentic coding tool, Claude Code. He treats Claude Code as the production-grade agent layer for shipping product code, not just chat assistance.
Granola is a documented part of Shipper's meeting workflow. He's named it in Every essays about his AI-augmented operating system as one of the few tools he pays for and continues to pay for. Frames Granola as the meeting-summary tool that earned its place in his stack rather than a tool he tested and dropped.
Uses Perplexity for research as part of his writing pipeline. Has interviewed Aravind Srinivas on AI & I, where Srinivas walked through the product roadmap and Shipper compared Perplexity to ChatGPT as the cited-source answer engine for the journalist-essayist workflow.
Last researched May 10, 2026
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