AI is getting smarter, but most people are still forced to use it like a puzzle. Tim Lidman reveals why that's backwards and how Clyde is built to let humans and AI actually collaborate on real problems, without needing to become a prompt engineering expert.
David Hill talks with Tim Lidman, founder of Clyde, about a more practical way to use AI in real work. The big idea is simple: instead of forcing people to master prompt hacks and model settings, Clyde is built to help humans and AI work together inside a shared collaboration workflow.
Tim explains why he believes today's LLMs are powerful but still limited by pattern recognition, and why that matters for consulting, sales, proposal writing, and problem-solving. He also walks through how Clyde structures a session with problem clarification, AI advisors, human contributors, and fact checking to improve both speed and trust.
Key topics Tim breaks down Clyde as an AI native collaboration platform designed for humans and AI to work on real problems together.
He argues against the idea that AI will simply replace all software because most users still need to learn prompt engineering, context engineering, loop engineering, and related methods.
Tim explains his background in collaboration software, including work on ThinkTank, which was acquired by Accenture in 2021.
He distinguishes between what humans do best and what AI does best, saying humans are stronger at ideation, new information, judgment, and change implementation.
He describes how Clyde starts by helping users clarify the real problem before generating solutions, instead of guessing intent the way many LLMs do.
He shares how Clyde brings in AI advisors with different domain expertise, such as finance, sales, operations, and talent, depending on the task.
He explains Clyde's AI advisor studio, which lets users build custom advisors using their own knowledge, past projects, and thought leadership.
He gives a detailed example of proposal and RFP response workflows, where Clyde can pressure test a deal, surface win themes, and improve trust with fact checking and source breadcrumbs.
David shares how he uses AI in sales for prospect research, industry research, and creating personalized presentations and templates. Tim compares Clyde to Perplexity by saying Perplexity is more like a researcher, while Clyde is more like a consultant.
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