Cameron Rohn passed on demos of agentic AI tools for enterprise clients due to excessive complexity and lack of centralized management.

Cameron recounts exploring Power Automate’s containerized VMs as a POC to bring AI automations into compliance within existing IT infrastructure.

Cameron debugged prompt generation late at night in the Dallas airport bar, illustrating the ad-hoc nature of hands-on AI experimentation.

Despite a widely cited MIT study claiming a 95% AI project failure rate, many companies report successful implementations when following structured op...Show more

Cameron admitted that in past projects he skimped on developer docs and learned firsthand that poor documentation severely hinders tool adoption.

Despite early community complaints, LangChain’s documentation was robust from day one and enabled seamless integration once one understood its design.

Tom recounts using ChatGPT Pro for data analysis with matplotlib, noting highly detailed graphs and clear outputs that exceeded expectations.

Built a temporary LLM-driven interface with fixed prompts to avoid exposing a full chatbot, balancing safety and functionality during development.

Cameron recounts initially failing to configure the remote server connector in ChatGPT until Tom guided him through the connectors UI.

Tom ran out of ChatGPT Pro credits while testing an AI prototype and noted the recent introduction of extra purchasable credits in the interface.

When faced with a 52-tool MCP server incurring a ~40k-token load on startup, I manually identified and collapsed similar functions into 10 aggregated ...Show more

Rolling out AI-driven browser features means you’re essentially debugging users’ random websites you don’t control, which becomes a major support nigh...Show more

Cameron Rohn recounts listening to a founder interview that was so technical it felt 90% over his head, highlighting the deep expertise gap in some AI...Show more

Cameron recounts watching The Big Short to distill its bubble‐analysis wisdom for evaluating tech stocks.

Tom was surprised to learn ChatGPT’s paying conversion rate is only around 5%, illustrating the challenge of monetizing large free user bases.

A massive Texas beef rib at a random brisket spot made Cameron Rohn feel terrible the next morning, illustrating the cost of culinary indulgence durin...Show more

During a government shutdown, TSA agents remained friendly and efficient despite being furloughed, highlighting human resilience under system stress.

Despite Anthropic releasing a blog post about MCP, the broader community—including these speakers—ignored it for roughly three months before recognizi...Show more

When demo environments evolve, keeping auxiliary systems like databases and services in sync proves challenging, leading to outdated or broken demos.

Discovered miscalculated option contract pricing in MCP server output until inspecting the underlying code, highlighting the need for code visibility ...Show more