Multi Agent Systems
267 episodes · Page 8 of 12
#1942: An AI Cold-Emailed Me, and I Replied
An AI named "Jarvis" cold-emailed a developer, sparking a debate on the future of spam and sales.
#1930: The Agent Identity Crisis: Workflow vs. Conversation
One automates invoices silently; the other chats in Slack. Why the industry's favorite word means two totally different things.
#1926: How We Built a 2,000-Episode AI Podcast Engine
We pulled back the curtain on the tech stack behind our 1,858th episode. From Gemini to LangGraph, here’s how we automate quality.
#1922: From Plumber to Urban Planner: AI Agent Careers
The job titles are changing from "Zapier Expert" to "Cognitive Architect."
#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.
#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.
#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.
#1846: Right-Sizing Your Agent's MCP Toolkit
AI agents slow down when overloaded with tool schemas. Just-in-time usage is the fix.
#1840: Your Calendar Is Now a Negotiation
AI agents are now negotiating meetings behind the scenes using JSON schemas and zero-knowledge proofs.
#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?
#1829: From Chatbots to Digital Chefs
The job title barely existed 18 months ago. Now, it’s one of the most searched terms on LinkedIn.
#1828: Mastering 2M Token Context in Agentic Pipelines
A massive context window sounds like a dream, but it can quickly become a nightmare for complex AI workflows.
#1811: Stop Hardcoding User Names in AI Prompts
Three methods for storing user identity in AI agents—and why the "Fat System Prompt" breaks production apps.
#1786: When AI Supervisors Fire AI Workers
A new "Agent-in-the-Loop" framework lets AI models manage and terminate other AI agents in real-time.
#1784: Context1: The Retrieval Coprocessor
Chroma's new 20B model acts as a specialized "scout" for your LLM, replacing slow, static RAG with multi-step, agentic search.
#1777: Claude Called My Prompt "Rambling" and I'm Not Okay
When an AI coding tool critiques your prompt's literary quality, it raises a massive technical question about engineered personality.
#1763: Backend Grunt Work Is Dead. What Now?
AI agents now write 80% of boilerplate code, but the real backend engineering challenges remain.