Technical constraints and practical boundaries of AI systems, including memory limits, processing caps, and output restrictions that impact real-world applications.
4 episodes
A developer attempts to use AI (Claude) to diagnose and fix WordPress SEO and indexing problems, including missing robots.txt, schema markup issues, and Google Search Console configuration. The experiment reveals important lessons about AI limitations, the need for human oversight at checkpoints, and the challenges of letting AI make bulk changes without incremental validation.
The host experiments with using Claude AI to automate conference attendee lead generation and marketing campaign creation. Starting with a PDF list of parking lot conference attendees, Claude autonomously researches the conference, segments prospects, writes email campaigns, and creates lead scoring frameworks—though it hits output limits when generating the final CSV export.
Bryan Dennstedt, fractional CTO at Tech CXO and sustainable investing advocate, discusses 2025 technology and business trends with host Todd. They explore venture capital's post-SVB recovery, AI's practical applications and limitations, the evolution of marketing through influencer content and podcasts, and emerging shifts in crypto regulation, intellectual property, and remote work culture.
A panel discussion featuring AI and machine learning experts Joel Foreman (Airworks), Nick Vasilioglou (Relational AI), and Kevin (TechCXO) exploring the current state and future of AI technology. They discuss the distinction between AI and machine learning, practical applications of LLMs, concerns about AI hype versus reality, ethical considerations around training data, and emerging innovations in computer vision, semantic layers, and enterprise AI implementation.
Want to go deeper?
Work With Me