AI Applications
Practical AI use cases and industry applications
344 episodes · Page 5 of 15
#2854: What Our Analytics Dashboard Reveals About Hidden Audiences
Hilbert uncovers suspicious spikes in podcast data. Are they covert ops or just university students?
#2848: Can 100 Volunteers Let AI Govern Them for a Month?
An AI council of multiple models, a hundred volunteers, and a month of real municipal decisions. Here’s how you’d run the experiment.
#2847: How AI Could Transform Comparative Policy Analysis
Can AI agents do the work of a distributed think tank for cross-country policy learning?
#2832: The Two-Tiered World of Support
How technical account managers and premium SLAs create a support tier that’s almost a different product from consumer chatbots.
#2829: The Missing CRUD Framework for Real Code
What actually gives you a real starting point for internal tools — not a platform, not a service, but code you own and deploy.
#2828: Where Is Calligraphy’s Spiritual Home?
China, Japan, or the Islamic world? Tracing the global lineage of the brush.
#2826: The Hidden Crisis in How We Name Life on Earth
Species are vanishing faster than we can name them — and the people who do the naming are disappearing too.
#2798: Why AI Tooling Finally Makes Static Frameworks Practical
From thumbnails to SVGs — how Astro changes the media game compared to WordPress.
#2790: Git Hygiene for AI Coding Agents
How to keep your git repo clean when Claude is blazing through tasks — plus a recovery playbook for when things go sideways.
#2780: Building Self-Healing Agent Pipelines
How to build an agent that monitors and fixes other agents in production — without the hype.
#2778: When AI Podcasts Stop Being Weird
AI-generated podcasts exist, but are they welcome? One builder’s open-source project tests platform tolerance and cultural acceptance.
#2774: Open Data That Actually Works
The gap between open data promises and reality, and the rare cases where it actually changes policy.
#2773: Beyond Static Fallbacks: Agentic Error Handling in AI Pipelines
From try-except blocks to planning agents that route around failures intelligently.
#2755: How to Build AI Memory That Actually Works
Stop jumping to conflict resolution. The real challenge is getting data in and out cleanly.
#2736: Why AI Flagged Your Em Dash
Punctuation isn't a fixed system handed down by grammarians. It's a two-thousand-year story of contraction, invention, and now AI suspicion.
#2690: Where Agent Builders Actually Gather
The MCP community, A2A protocol, and Linux Foundation are building the professional identity of agentic AI right now.
#2689: Why CLI Beats MCP for AI Agents Sometimes
Why a plain command-line tool can outperform a purpose-built MCP server for AI agents — and what that means for the protocol's future.
#2688: Intelligent Frame Extraction for Multimodal AI
Use multimodal AI and smart frame extraction to turn a walk-through video into an actionable decluttering plan.
#2687: When Pre-Flight Checks Help (or Hurt) Agentic AI Plugins
How to decide when a pre-flight check is worth the latency cost — and how to write good ones.
#2685: Plugin Data Storage for AI Agents
How to separate user data from plugin code across Linux, macOS, and Windows in agentic AI environments.
#2683: MCP vs Agent Skills: Context Wars
When 12M token windows arrive, do MCP servers or agent skills win? Plus: federated access for agent teams.
#2677: Memory Layers for AI Agents: SaaS vs Self-Hosted
Zep, mem0, Letta, Graphiti, Cognee — which memory layer should you commit to for your AI agent?
#2675: When AI Makes Documentation Effortless
The key documents every consultant needs—and how AI makes them effortless to create and maintain.
#2669: Low-Touch Lead Qualification for Solo Consultants
Stop wasting hours on calls with unqualified leads. Learn low-touch vetting that filters bad fits without sounding hostile.