Tool Use - AI Conversations

Mike Bird
  • 0.0（0則評分）
  • 科技
  • 每週更新

The latest AI tools and strategies, featuring top builders, entrepreneurs, and researchers. Every Tuesday, get actionable knowledge about AI services that you can use today. - Conversations with AI builders and founders - Practical tips for applying AI immediately - Live demos of cutting-edge AI products - Deep dives into open-source projects Join us as we explore the rapidly evolving AI landscape and discover tools that transform productivity, creativity, and business. Subscribe now and stay ahead of the AI curve

  1. How To Make Your Websites Fully Autonomous (ft rtrvr)

    3月17日

    How To Make Your Websites Fully Autonomous (ft rtrvr)

    Check out www.ToolUsePodcast.com Are AI web browsers falling short of the hype? Enter Rover, a revolutionary open-source AI agent that unlocks full autonomous workflows directly on your website with just a single script tag. In this episode, Arjun and Bhavani from rtrvr return to dive deep into how Rover uses a unique DOM-only approach to navigate, click, and type with subsecond latency. This innovative method completely bypasses slow screenshot-based models and outdated playwright or puppeteer scripts. We discuss the engineering secrets behind building smart DOM trees, why they crushed web benchmarks, and how Rover provides a powerful alternative to Google's Web MCP by keeping users engaged on your site instead of handing traffic over to external AI tools. Plus, learn how you can trigger complex agentic workflows via simple URL queries and why open-sourcing this technology is a massive win for the developer community. Rover links:https://x.com/rtrvrairover.rtrvr.aiGithub: https://github.com/rtrvr-ai/roverRover Deep dive: https://www.rtrvr.ai/blog/10-billion-proof-point-every-website-needs-ai-agentBenchmark: https://www.rtrvr.ai/blog/web-bench-results Connect withushttps://x.com/ToolUsePodcasthttps://x.com/MikeBirdTechhttps://x.com/rtrvrai 00:00:00 - Intro00:03:05 - The DOM-Only Approach vs Screenshots for AI Agents00:06:00 - Parsing HTML vs Markdown for Reliable LLM Data00:11:47 - Handling Modals, iFrames, and Canvas Elements00:15:32 - Implementing AI Guardrails and Extracting User Intent Data00:28:04 - Rover vs Google Web MCP for Website Automation00:31:25 - Triggering Autonomous AI Workflows via URL Queries Subscribe for more insights on AI tools, productivity, and web automation. Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX Tool Use is a weekly conversation with the top AI experts.

    42 分鐘
  2. How To Make Your A.I. Product Go Viral (ft Mano Tsiris)

    3月10日

    How To Make Your A.I. Product Go Viral (ft Mano Tsiris)

    Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX In 2026, building an AI product is easier than ever, but getting traction and finding customers is the real challenge. In episode 82 of Tool Use, we sit down with Mano Tsiris, a serial exited founder and head of growth at Optimal AI, to break down the ultimate go-to-market strategy for technical founders and builders. Discover how to validate your startup ideas and talk to users before writing a single line of code. Mano shares his proven marketing playbook, including how to build in public on LinkedIn, repurpose content using AI tools like Gemini and Claude Code, and leverage IRL events to grow your network. Whether you are bootstrapping a side project or trying to get your first hundred users, this conversation is packed with actionable advice on distribution, audience building, and standing out in a crowded market. Mano Tsiris on LinkedIn: https://www.linkedin.com/in/emanueltsiris Optimal AI: https://getoptimal.ai Connect with us https://x.com/ToolUsePodcast https://x.com/MikeBirdTech 00:00:00 - Intro 00:03:53 - Mindset Shift: From AI Builder to SaaS Seller 00:09:21 - Building in Public & Thought Leadership Strategies 00:11:21 - Repurposing Content & SEO with AI Tools 00:22:12 - A/B Testing & Finding Viral Hooks with Gemini 00:26:56 - Startup Ideation: How to Validate SaaS Ideas Before Building 00:37:02 - The Ultimate AI Marketing Tech Stack for Founders Subscribe for more insights on AI tools, productivity, and startup growth. Tool Use is a weekly conversation with the top AI experts.

    47 分鐘
  3. How To Build a Hybrid AI System with Any-LLM (ft Nathan Brake)

    3月3日

    How To Build a Hybrid AI System with Any-LLM (ft Nathan Brake)

    Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX Are you looking to optimize your AI applications with the best open source Large Language Models? This week, we explore open source AI, rapid model switching, and local self-hosting with Nathan Break, a Machine Learning Engineer at Mozilla AI and the creator of Any-LLM. Any-LLM is an open-source Python SDK that allows developers to seamlessly talk to any LLM provider through a single, unified interface. Nathan demonstrates how developers can instantly swap between cloud-hosted AI providers and local models like Llamafile by changing just a single line of code. We dive into the growing capabilities of smaller, cost-effective models, how to reduce your API expenses, and the security benefits of running local AI on your own hardware. Nathan also introduces the Any-LLM Platform, a secure vault for managing API keys that tracks your token usage and enforces budget limits without ever accessing your prompt data. Finally, we check out Porch Songs, Nathan's open-source application that leverages LLMs to rewrite the lyrics of popular songs while maintaining their original rhyme schemes and chord charts. Check out the projects mentioned in this episode: Any-LLM GitHub: https://github.com/mozilla-ai/any-llm Any-LLM Platform: https://any-llm.ai Mozilla AI Blog Post: https://blog.mozilla.ai/introducing-any-llm-a-unified-api-to-access-any-llm-provider Porch Songs GitHub: https://github.com/njbrake/porchsongs Connect with us https://x.com/ToolUsePodcast https://x.com/MikeBirdTech 00:00:00 - Intro 00:01:25 - What is Any-LLM? Unified API for Open Source AI 00:05:32 - Benefits of Rapid Model Switching & Open Weight Models 00:11:06 - Any-LLM Python SDK Demo: Mistral Image Recognition 00:19:51 - Best Local AI Models: Llamafile, LM Studio & Local LLMs 00:24:38 - Any-LLM Platform Vault & Porch Songs App Demo 00:34:45 - AI Coding Agents, Claude Code & LLM Evaluations Subscribe for more insights on AI tools, productivity, and open source development. Tool Use is a weekly conversation with the top AI experts.

    44 分鐘
  4. AI Sovereignty - Control Your Entire AI architecture (ft Max McCrea)

    2月24日

    AI Sovereignty - Control Your Entire AI architecture (ft Max McCrea)

    Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX Are you putting your business at risk by relying on big AI companies? In this episode of the Tool Use podcast, we dive deep into Sovereign AI with Max McCrea, founder of Greyhaven. We explore how businesses can maintain control of their private data while still benefiting from AI. Max breaks down the importance of self-hosting and building architectures that abstract away the model provider so you can easily swap them out. We also discuss practical AI architecture decisions, the dangers of un-sandboxed AI agents, and how to set up software-defined sandbox environments to reduce the attack surface. Whether you are curious about running open source models or replacing proprietary tools, this episode provides a guide to taking back control of your systems. Guest Links: https://greyhaven.co https://maxmccrea.com https://github.com/GreyhavenHQ Connect with us https://x.com/ToolUsePodcast https://x.com/MikeBirdTech 00:00:00 - Intro 00:12:17 - AI Context Management & Personal Data Indexing 00:20:40 - Open Source Replacements vs Proprietary SaaS Tools 00:29:14 - Corporate AI Data Harvesting & Vendor Lock-in 00:49:18 - LLM Orchestration & AI System Architecture 00:53:24 - Best Open Source AI Models for Self-Hosting Subscribe for more insights on AI tools, productivity, and data sovereignty. Tool Use is a weekly conversation with the top AI experts.

    1 小時 6 分鐘
  5. Do You Need A Vector Database in 2026? (ft Arjun Patel)

    2月17日

    Do You Need A Vector Database in 2026? (ft Arjun Patel)

    Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX Vector databases can be an important component for building reliable AI agents and scalable semantic search applications. In this episode, Arjun Patel from Pinecone breaks down how to optimize your RAG pipeline, choose the right embedding models (sparse vs. dense), and implement effective chunking strategies for better data retrieval. We also explore the new Pinecone plugin for Claude Code, demonstrating how to build a recommendation system and chat with your documents using Pinecone Assistant without writing complex code. https://www.pinecone.io/ https://www.linkedin.com/in/arjunkirtipatel/ Connect with us  https://x.com/ToolUsePodcast https://x.com/MikeBirdTech  00:00:00 - Intro 00:01:11 - What Vector Databases Unlock 00:04:40 - Optimal Chunking Strategies for RAG 00:09:07 - How Embedding Models Work 00:17:25 - Improving Search with Re-ranking 00:26:52 - SQL vs Vector Database Architecture 00:35:48 - Claude Code & Pinecone Assistant Demo Subscribe for more insights on AI tools, productivity, and vector databases. Tool Use is a weekly conversation with the top AI experts.

    59 分鐘
  6. Fine-Tune Your Own A.I. Video Model (ft. Greg Schoeninger)

    2月10日

    Fine-Tune Your Own A.I. Video Model (ft. Greg Schoeninger)

    Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX Unlock the power of AI fine-tuning for image and video models with Greg Schoeninger, CEO of Oxen.ai. In this episode, we explore how to move beyond simple prompt engineering to training custom open-source models for as little as $1. Discover the technical strategies for building high-quality datasets, the trade-offs between LoRAs and full fine-tunes, and how to achieve consistent characters and styles in generative video. We dive into real-world examples, including how to generate massive product catalogs for a fraction of the cost of enterprise APIs and the story behind the viral "Isometric NYC" project built with Claude Code. Greg breaks down the entire AI lifecycle—from data curation and labeling with Vision Language Models (VLMs) like Qwen and Gemini to deploying efficient, specialized models that outperform general-purpose giants. Whether you are looking to optimize GPU costs, automate video workflows, or build your own AI tools, this conversation provides the blueprint for scaling your AI capabilities. Links from the episode: Oxen AI: https://www.oxen.ai/ Fine Tuning Fridays: https://luma.com/oxen Isometric NYC Project: https://cannoneyed.com/projects/isometric-nyc Connect with us  https://x.com/ToolUsePodcast https://x.com/MikeBirdTech  https://x.com/gregschoeninger 00:00:00 - Intro 00:01:47 - When to Switch from Prompt Engineering to Fine-Tuning 00:11:05 - How to Build a Dataset for AI Fine-Tuning 00:21:52 - LoRA vs. Full Fine-Tuning Explained 00:27:53 - Case Study: Fine-Tuned Qwen 3 VL vs. Google Gemini 00:36:33 - Case Study: Isometric NYC with Claude Code Subscribe for more insights on AI tools, productivity, and fine-tuning. Tool Use is a weekly conversation with the top AI experts.

    43 分鐘
  7. From Marketer to Growth Engineer Using AI (ft Justin Borge)

    2月3日

    From Marketer to Growth Engineer Using AI (ft Justin Borge)

    Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX Unlock the ability to build AI tools without coding experience as Justin Borge joins Tool Use to demonstrate how he built Helios, a personal management system, using only LLMs like Gemini and Claude. Justin breaks down his transition from marketer to growth engineer, sharing his exact workflows for using JSON documentation to give AI a perfect memory of his business and goals. He reveals his unique "bullying" strategy for debugging code using persona-based prompts and explains how he created a human-in-the-loop system to safely edit local files without hallucinations. This conversation covers everything from writing your first Python script to mastering meta-prompting for maximum productivity. https://www.linkedin.com/in/justinborge/ https://justinborge.com Connect with us https://x.com/ToolUsePodcast https://x.com/MikeBirdTech 00:00:00 - Intro 00:03:49 - Top AI Tools & JSON Workflows 00:10:06 - Transitioning from Marketing to Engineering 00:12:23 - How to Debug Code Without Coding Knowledge 00:13:56 - Persona Prompting & "Bullying" LLMs 00:18:09 - Live Demo: Helios AI Management System 00:31:29 - How to Start Building AI Tools Today Subscribe for more insights on AI tools, productivity, and growth engineering. Tool Use is a weekly conversation with the top AI experts.

    43 分鐘
  8. Ryan Carson Explains The Ralph Wiggum Loop

    1月27日

    Ryan Carson Explains The Ralph Wiggum Loop

    Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX Discover the power of the Ralph Wiggum Loop with Ryan Carson as we explore the future of AI coding agents, autonomous workflows, and building one-person companies. In this episode, we break down how to implement Jeff Huntley’s simplified bash script loop using tools like Claude Code and Amp to ship features faster than ever. Ryan shares his tactical advice on creating high-quality PRDs, defining clear acceptance criteria for agent browser testing, and moving beyond human-in-the-loop development. We also dive into advanced AI engineering strategies, including self-healing systems, MCP servers like Sentry and Fizzy, and how to use LLMs to automate business operations through CRON job insights and email marketing drips. Whether you are an AI engineer or a founder, learn how to stop writing syntax and start orchestrating a fleet of agents to amplify your delivery speed and creative joy. Follow Ryan's Work: Untangle: https://www.untangle-us.com/ Ralph Loop Repo: https://github.com/snarktank/ralph Ryan on X: https://x.com/ryancarson Connect with us https://x.com/ToolUsePodcast https://x.com/MikeBirdTech https://x.com/ryancarson 00:00:00 - Intro 00:01:17 - How the Ralph Wiggum Loop Works 00:02:46 - Fresh Context Windows vs. Context Rot 00:12:15 - Deterministic Harnessing and Agent Hooks 00:17:59 - Agent Browser Testing & Acceptance Criteria 00:28:13 - Automating Business and Marketing Loops 00:39:09 - PR Review Bots and AI Engineering Workflows Subscribe for more insights on AI tools, productivity, and orchestration. Tool Use is a weekly conversation with the top AI experts.

    50 分鐘
顯示全部 (84)

預告片

簡介

The latest AI tools and strategies, featuring top builders, entrepreneurs, and researchers. Every Tuesday, get actionable knowledge about AI services that you can use today. - Conversations with AI builders and founders - Practical tips for applying AI immediately - Live demos of cutting-edge AI products - Deep dives into open-source projects Join us as we explore the rapidly evolving AI landscape and discover tools that transform productivity, creativity, and business. Subscribe now and stay ahead of the AI curve

資訊

  • 創作者
    Mike Bird
  • 活躍年代
    2024年 - 2026年
  • 集數
    84
  • 年齡分級
    兒少適宜
  • 版權
    © Mike Bird
  • 節目網站
    Tool Use - AI Conversations

你可能也會喜歡