The Reasoning Show
The Reasoning Show AI moves fast. Thinking clearly matters more.
The Reasoning Show cuts through the hype to explore how the smartest people in enterprise AI actually make decisions — the strategy, the tradeoffs, and the hard lessons no press release mentions.
Every week, hosts Aaron Delp and Brian Gracely sit down with the founders building the tools, investors funding the shift, and operators running AI in the real world. Not hype. Not panic. Just clear-headed conversations with people who have to make actual decisions.
Because the AI revolution isn't just happening. It's being reasoned through.
New shows every Wednesday and Sunday.
Topics: Enterprise AI strategy · LLMs in production · AI leadership · Agentic AI · Digital Sovereignty · Machine Learning · AI startups · Cloud Computing
The Reasoning Show
Living the Claude-centric Life
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SUMMARY: With @bwhichard, we dig into how daily work-life changes when you make @AnthropicAI @claudeai the center of all workflow activities.
SHOW: 1013
SHOW TRANSCRIPT: The Reasoning Show #1013 Transcript
SHOW VIDEO: https://youtu.be/zEmEH0t67js
SHOW SPONSORS:
- VENTION - Ready for expert developers who actually deliver?
Visit ventionteams.com
SHOW NOTES:
Topic 1 - How long have you been living the Claude-life, and when did it dawn on you to make this central to your day-to-day activities?
Topic 2 - What were the biggest hurdles you had to overcome before you trusted the system and started letting it have ownership over tasks and workflows?
Topic 3 - What are some of your best practices in terms of machine setup, how or where you store data, how you decide what to give it access to? Walk me through your thoughts around things like keeping things simple, where to be complex, how you think about security, etc.
Topic 4 - How are you learning to give it more responsibilities, or just figure out new ways to be productive with it?
- Good resources you’re pulling from?
- Any tips to make it use less tokens?
- Skills marketplaces?
Topic 5 - What have been some of the biggest barriers to successful adoption, or just areas where you’re still struggling to get it to do the things you want? Or are you still in the learning curve stage and things just keep growing on one another?
Topic 6 - If you took the knowledge and skills you have now in Claude-life into your day-job, how do you see yourself working, as well as working with the rest of your team/teams? Would it bother you if you didn’t think they were using AI tools as much?
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