The Reasoning Show

OVERVIEW: Welcome to The Reasoning Show! We dig into one of the foundational building blocks of modern Generative AI, the AI Agent. So what is an AI Agent, and what do we need to think about for the next couple years? 
SHOW: 1007
SHOW TRANSCRIPT: The Reasoning Show #1007 Transcript
SHOW VIDEO: https://www.youtube.com/@TheReasoningShow/
SHOW NOTES:
Topic 1 - We’re 3+ years into the Generative AI era. Why do you think AI Agents, or Agentic AI, is now getting so much attention? 
Topic 2 - If someone asked you to explain what an AI Agent is, how would you do that? 
Topic 3 - What are some of the core elements of AI Agents that you’re seeing impact how people think about and use agents?
How to define tasks
Languages and frameworks
Ability to orchestrate multiple agents
Human-in-the-Loop vs. Autonomous
Other?
Topic 4 - AI Agents are going to spark the great “how much should I pay for this?” discussion. Have you given this any thought yet?  
Topic 5 - How do you expect to use AI agents in your day-to-day work, and how do you expect this to impact Enterprise businesses?
ESSENTIAL READING
Building Effective Agents" by Anthropic: designing agents with tools, memory, reasoning loops
A Comprehensive Review of AI Agents: how agents perceive, reason, decide, act
Top 20 AI Agent Concepts You Should Know: covering ReAct, Chain of Thought, memory types
AI Agents in Action: Foundations for Evaluation and Governance: structured foundation for safety aspects of agent deployment
Essential Viewing
AI Agentic Design Patterns w/ AutoGen: build autonomous agents that use tools
AI Agent Systems w/ crewAI: orchestrating teams of agents
LangGraph Course: how to build stateful, reliable agents
Frameworks & Tools 
LangGraph: standard for complex, stateful agents (nodes, edges, loops)
CrewAI: Best for structured task delegation and multi-agent collaboration
AutoGen: Microsoft's framework for multi-agent conversational systems
Model Context Protocol (MCP): standard for connecting agents, tools, data
n8n: no-code/low-code visual agent building
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Email: show @ reasoning dot show
Bluesky: @reasoningshow.bsky.social
Twitter/X: @ReasoningShow
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This episode marks the transition from The Cloudcast to The Reasoning Show, focusing more on AI and cloud topics. Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss recent trends in AI, the evolution of tech teams, and the shifting landscape of enterprise AI tools.
SHOW: 1006
SHOW TRANSCRIPT: The Cloudcast #1006 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET 
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" 
SHOW NOTES:
Link to February 2026 News and Articles

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Email: show at the cloudcast dot net
Bluesky: @cloudcastpod.bsky.social
Twitter/X: @cloudcastpod
Instagram: @cloudcastpod
TikTok: @cloudcastpod

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Email: show @ reasoning dot show
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Aaron and Brian discuss how The Cloudcast will be changing going forward, signaling an industry shift from Cloud Computing to AI.  
SHOW: 1005
SHOW TRANSCRIPT: The Cloudcast #1005 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET 
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"
SHOW NOTES:
Topic 1 - What are we announcing? (“The Reasoning Show”, a.k.a. “Reasoning”)
New name, same RSS feeds (same podcast players)
New logo
Some existing/renamed and some new social media channels (will be listed)
Same co-hosts (and maybe some new friends)
Topic 2 - Why are we changing The Cloudcast?
The majority of our content is AI focused now
Cloud has become mostly stable, AI is at the beginning and so much is changing
We’re not abandoning Cloud, just giving it the amount of coverage needs (monthly Cloudcast, monthly CNOTM)
Social media algorithms have changed audience acquisition
Topic 3 - Hasn’t The Cloudcast already been covering AI for a while? 
Yes, it’s been about 50/50 since 2024
We’ve been discussing this change for almost a year. 
We actually discussed having an OpenAI-specific podcast at one point, but so much as changed in the market (which is a good reason for a diverse podcast)
Topic 4 - What can we expect from the new podcast?
Still on Wednesday and Sunday
Both audio and video formats (Apple, Spotify, YouTube, TikTok/Insta (clips))
Trying to make it easier for someone new to follow along - more concentration around core topics, but not exclusively
AI Technology, AI Economics, AI Trends, AI (Business) Use-Cases, AI Things to Watch, AI Productivity, AI Regulation
We’ll still do a “Cloudcast” once a month, as the Cloud underpins almost everything AI
We’ll likely do a “Reasoning Basics” spin-off, like Cloudcast Basics. 
We’ll get a newsletter pulled together (hopefully weekly). 
Topic 5 - Anything else?
Listeners don’t have to do anything to keep getting their week podcast
Subscribe to the social media channels (show notes)
Leave a 5-star review on the podcast players
Tell a friend to check out the show

FEEDBACK?
Email: show at the cloudcast dot net
Bluesky: @cloudcastpod.bsky.social
Twitter/X: @cloudcastpod
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Send a text
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Email: show @ reasoning dot show
Bluesky: @reasoningshow.bsky.social
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This episode explores the evolving economics of AI development, the rising costs associated with AI agents, and the implications for businesses and developers. It highlights the shift from centralized to decentralized computing, the importance of understanding token budgets, and the future of AI project management.
SHOW: 1004
SHOW TRANSCRIPT: The Cloudcast #1004 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET 
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"
CHAPTERS
00:00 - Celebrating Milestones and AI Insights
02:48 - The Cost of AI Agents and Realizations
06:05 - Centralization vs. Decentralization in AI
08:51 - The Evolution of AI Economics
12:03 - Future Trends in AI and Project Management
14:52 - Connecting AI to Real-World Economics
KEY TOPICS:
AI agent costs and pricing models
The shift from centralized to decentralized computing
Token budgets and project economics in AI
Historical transitions in computing infrastructure
Future trends in AI project management
SHOW NOTES
When AI Tokens cost more than your employees 
Should you own (or generate) your own tokens? 
On running a startup of Claude Code agents: 1 Billion tokens a month
Can AI grow corn? 
WE'VE REACHED A POINT WITH AI WHERE PEOPLE ARE STARTING TO THINK ABOUT THE BUSINESS IMPACTS
How much should an AI project cost?
How do we translate an AI token into some unit that a business can understand?
How companies be their own AI token factories?
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Email: show @ reasoning dot show
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Aaron and Brian review some of the latest AI model releases and discuss how they would evaluate them through the lens of an Enterprise AI Architect. 
SHOW: 1003
SHOW TRANSCRIPT: The Cloudcast #1003 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET 
NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" 
SHOW NOTES:
Last Week in AI Podcast #234
Artificial Analysis.AI
Opus 4.6 Release
GPT Codex 5.3 Release
GLM-5 Release
OpenAI Preparedness Framework
Sam’s Tweet that 5.3 Codex hit “high” ranking for cybersecurity
Fortune Article on 5.3 high ranking
TAKEAWAYS
The frequency of AI model releases can lead to numbness among users.
Evaluating AI models requires understanding their specific use cases and benchmarks.
Enterprises must consider the compatibility and integration of new models with existing systems.
Benchmarks are becoming more accessible but still require careful interpretation.
The rapid pace of AI development creates challenges for enterprise adoption and integration.
Companies need to be proactive in managing the versioning of AI models.
The industry may need to establish clearer standards for evaluating AI performance.
Efficiency and cost-effectiveness are becoming critical metrics for AI adoption.
The timing of model releases can impact their market reception and user adoption.
Businesses must adapt to the fast-paced changes in AI technology to remain competitive.
FEEDBACK?
Email: show at the cloudcast dot net
Bluesky: @cloudcastpod.bsky.social
Twitter/X: @cloudcastpod
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Send a text
FEEDBACK?
Email: show @ reasoning dot show
Bluesky: @reasoningshow.bsky.social
Twitter/X: @ReasoningShow
Instagram: @reasoningshow
TikTok: @reasoningshow