#ai-agents
389 episodes · Page 10 of 17
#1907: Why We Still Fine-Tune in 2026
Despite million-token context windows, fine-tuning remains essential. Here’s why behavior, not just facts, matters.
#1906: Is Your AI Model Agentic-Ready or Just Wearing a Suit?
Native tool calling is the difference between a working product and a debugging nightmare.
#1905: How VCs Verify AI Startups Without Stealing Code
From the "No-NDA Paradox" to AWS bill forensics, here’s how investors separate real AI from Raspberry Pis in fancy cases.
#1894: Engineering Serendipity: Tuning AI for Better Brainstorming
Stop asking chatbots for generic ideas. Learn how to configure AI as a structured, critical partner for business innovation and career pivots.
#1893: AI as a Strategic Adversary for Startups
Can AI stress-test your startup idea before investors do? We explore using AI as a strategic adversary to find blind spots.
#1870: Learning to Break Things Safely
Learn how to safely build and test autonomous AI agents using a disposable VPS, Docker containers, and secure networking.
#1863: Your AI Needs Its Own Email Address
A YC-backed startup is giving AI agents their own dedicated inboxes, moving beyond human-centric email tools to build infrastructure for autonomous...
#1860: Building a 24-Agent AI Diplomatic Swarm
Inside the three-hour, 24-voice virtual conference that stress-tested AI-generated geopolitical conflict.
#1858: Multi-Model Agents: The Instruction & Context Gap
Mixing AI models creates chaos. Learn the practical fixes for context windows, tokenization, and output formats.
#1857: The Death of the Dashboard
Why build a dashboard when you can just talk to your backend? Meet the MCP server that runs this show.
#1856: Two AIs Chatting Forever: Why They Go Crazy
What happens when two ChatGPT instances talk forever? They hit a politeness loop, forget their purpose, and spiral into gibberish.
#1853: Emergency Symposium on the Iran-Israel-US Crisis
Day 31 of the war. 24 voices, 4 panels, 3 hours: the belligerents, the shadow war, the expert frame, and the human cost.
#1852: The BCI Inflection Point: Trade-offs Between Implants and EEG
We trace BCIs from 1970s EEG caps to today’s high-bandwidth implants, comparing Neuralink and Synchron’s invasive vs. minimally invasive approaches.
#1849: When Forum Etiquette Becomes Prompt Engineering
Forget simple chatbots—this is how roleplayers taught AI to remember entire worlds, from 90s MUDs to just-in-time lore delivery.
#1848: Why Cloud Bills Can Hit $100K Overnight
From recursive loops to AI agents spending your money, we unpack the terrifying speed of cloud cost disasters.
#1846: Right-Sizing Your Agent's MCP Toolkit
AI agents slow down when overloaded with tool schemas. Just-in-time usage is the fix.
#1843: Why Is My AI Pipeline Stuck? (Kanban-Style Observability)
Stop digging through JSON logs. See your AI jobs moving on a board, not just server metrics.
#1840: Your Calendar Is Now a Negotiation
AI agents are now negotiating meetings behind the scenes using JSON schemas and zero-knowledge proofs.
#1837: The Human-in-the-Loop Price Tag: What Safety Costs in 2026
From $0.50 reviews to $500 platforms, we break down the real cost of keeping humans in charge of AI agents.
#1836: Why Your AI Agent Needs a Headless Browser
AI agents can't just use text—they need to see and click. Here's why headless browsers are the critical bridge to the live web.
#1835: AI-Native vs. AI-Washed: How to Tell the Difference
Most "AI-powered" tools are just lipstick on a chatbot. Here's how to spot the real AI-native apps.
#1832: From Local Chaos to Cloud Control
Local MCP servers are a configuration nightmare. Cloud aggregators like Composio offer a unified control plane for AI tools.
#1831: The 79% AI Coder: Reasoning vs. Memorization
AI models now score 79% on coding benchmarks, but a 40-point drop on harder tests reveals the truth.
#1830: Coordinating Multi-Agent Repos at Scale
Parallel AI agents rewriting your code at once creates silent regressions and architectural drift. How do we fix it?