Agents at work – Détails, épisodes et analyse

Détails du podcast

Informations techniques et générales issues du flux RSS du podcast.

Agents at work

Jordi Montes (Fewsats)

Technologie

Fréquence : 1 épisode/18j. Total Éps: 21

Your front-row seat to the AI agents revolution! Join us as we explore the cutting-edge world of AI agents through in-depth conversations with the pioneers shaping this technology. From breakthrough architectures to practical deployment strategies, we bring you insights from builders, researchers, and innovators who are turning autonomous AI agents from science fiction into reality.

Lire plusRéduire

Site

RSS

Apple

Classements récents

Dernières positions dans les classements Apple Podcasts et Spotify.

Apple Podcasts

🇬🇧 Grande Bretagne - technology
06/03/2026
#69
🇬🇧 Grande Bretagne - technology
05/03/2026
#70
🇫🇷 France - technology
06/03/2025
#86

Spotify

Aucun classement récent disponible

Liens partagés entre épisodes et podcasts

Liens présents dans les descriptions d'épisodes et autres podcasts les utilisant également.

https://www.youtube.com/watch?v=zBiaoVqiWrQ
1 partage
https://www.youtube.com/watch?v=zBiaoVqiWrQ&t=190s
1 partage
https://www.youtube.com/watch?v=zBiaoVqiWrQ&t=348s
1 partage

Qualité et score du flux RSS

Évaluation technique de la qualité et de la structure du flux RSS.

Qualité du flux RSS

À améliorer

Score global : 63%

Historique des publications

Répartition mensuelle des publications d'épisodes au fil des années.

Year

Derniers épisodes publiés

Liste des épisodes récents, avec titres, durées et descriptions.

Agents At Work 4: the future of coding with Thorsten Ball

Saison 1 · Épisode 4

jeudi 27 février 2025 • Durée 48:22

In this episode, Jordi Montes and Thorsten Ball discuss the evolving landscape of AI agents, particularly in the context of Sourcegraph and software development.

Thorsten is back to working at Sourcegraph after one year helping to develop the Zed code editor. He is well know in the Golang and software engineering communities as the author of "Writing An Interpreter In Go"and "Writing A Compiler In Go".

Sourcegraph accelerates how software gets built, helping developers search, understand, and write code in complex codebases with AI.

This conversation explores the definition of AI agents, the integration of AI into Sourcegraph's operations, and the implications of AI on code search and software development practices. The discussion highlights the transformative potential of AI tools, the importance of performance, and the need for developers to adapt to new paradigms in coding and tool usage. They explore the transformative impact of Large Language Models (LLMs) on software development. They discuss how LLMs enhance the developer experience by improving code context management, shifting programming paradigms, and revolutionizing code interaction. This episode also touches on the future of commit messages and documentation, emphasizing the need for tools that adapt to the evolving landscape of coding and AI integration.

Lire plusRéduire

Agents at Work 3: Aomni With David

Saison 1 · Épisode 3

jeudi 20 février 2025 • Durée 49:23

In this episode, Jordi Montes and David from Aomni discuss the evolving landscape of AI agents, their definitions, and their implications for software interaction and sales operations. David and his projects went viral multiple times the last one being an open source version of Deep Research. His company, Aomni, enables B2B sales reps save more than 7 hours per week on prospect research.David shares insights on building autonomous agents for revenue teams, the challenges of current software stacks, and the future of AI in enterprise sales. We talk about the role of tool calling in AI development and the potential for integrating coding with AI capabilities. We cannot stress enough importance of not underestimating their capabilities. The dialogue also touches on user interaction, the role of context and memory in AI applications, and the challenges of service discovery and performance evaluation in agent-based systems.

Lire plusRéduire

Agents at Work 2: Okareo With Matthew Wyman

Saison 1 · Épisode 2

lundi 17 février 2025 • Durée 44:37

In this episode, Jordi Montes and Matt Wyman discuss the evolving landscape of AI agents, exploring their definitions, applications, and the challenges faced in building complex systems. Matt shares his journey from engineering to product management, highlighting the importance of understanding user behavior and the need for new monitoring tools tailored for AI systems. They delve into diverse use cases for AI agents, from parts catalogs to onboarding processes, and debate the merits of fine-tuning versus in-context learning. In this conversation, Matt Wyman and Jordi Montes discuss the evolving landscape of AI performance metrics, the importance of establishing baselines for continuous improvement, and the role of data scientists in engineering. They explore the shift towards multimodal AI solutions, the challenges of agent deployment and orchestration, and innovations in authentication for AI agents. The discussion also touches on the future of AI model evaluation and adaptation, emphasizing the need for organizations to embrace constant measurement and experimentation.

Lire plusRéduire

Agents at Work 1: Open Agents With Christopher David

Saison 1 · Épisode 1

vendredi 14 février 2025 • Durée 45:50

In this episode of Agents at Work, Jordi Montes interviews Christopher David, founder and CEO of OpenAgents, discussing the evolution of AI agents, their functionality, and the future of coding agents. Christopher shares insights on the development of ONYX, a mobile app for coding agents, and the importance of transparency and trust in AI development. The conversation also touches on the impact of new AI models, the role of interfaces, and the vision for a Bitcoinized economy where agents can operate autonomously.

Lire plusRéduire

Agents at work 21: Your next co-founder is an AI agent w/ Ben (Polsia)

Saison 1 · Épisode 21

jeudi 19 février 2026 • Durée 58:55

In this episode of Agents at Work, Jordi Montes talks with Ben, the builder behind Polsia.

Ben is building an AI “founding team” that can spin up and run online businesses end-to-end.Instead of asking “what can agents do in theory?”,

He runs the growth loop for real: generate an idea, ship a landing page, wire up Stripe, run outreach/ads, respond to customers, ship fixes, and repeat without a human babysitting every step.

They get into:

- The autonomous growth loop: idea → build → launch → traffic → revenue → learn → iterate

- Why the winning move is speed + distribution, and why startups that aren’t “80% autonomous” get outpaced

- What it takes to give agents the full stack (web server, DB, GitHub, email, payments, ad accounts) so experiments run end-to-end

- Ben’s approach to shipping fast without breaking everything (model cross-checking + safer deploy decisions)

- How per-company memory + shared “best practices” turns one agent into a compounding advantage across many businesses

- The real business question: do you sell software, sell tokens, or take a cut of outcomes?

If you care about shipping faster than your competitors, turning experiments into compounding systems, and using agents to run the messy parts of a business (not just generate copycats) this one’s for you.

Agents at Work 20: “Bash Is All Your Agent Needs” w/ Yunfan (Yutori)

Saison 1 · Épisode 20

jeudi 22 janvier 2026 • Durée 53:59

In this episode of Agents at Work, Jordi Montes sits down with Yunfan, an ex-Google / ex-Meta (Llama 3) engineer now building agents at Yutori, to talk about what it actually takes to ship agents that run continuously and stay reliable in the real world.

Yunfan breaks down Scouts, Yutori’s agentic web search product that can run on a schedule (daily/weekly/hourly), browse like a human, and only notify you when something meaningfully changes without spamming your inbox.

They explore:

What “agents” really are: a model + a loop of action → observation → next action (and why that definition matters)
Multi-agent orchestration: orchestrator + specialized agents (travel, finance, info gathering) and how “division of labor” improves performance
MCP vs function calling: why Yunfan thinks many tool integrations can collapse into simple functions/scripts ( “bash is all you need”) with less complexity and less context overhead
Agents need memory: why Yutori is evolving from a report archive to a real “file system” so agents can store progress, preferences, and reusable knowledge
The real problem: reliability: why 95% accuracy fails at daily cadence and the push toward 99–99.9% (plus supervision/self-healing)
Model economy: why not all tokens are equal, and how mixing frontier models with smaller open models makes agents affordable at scale

If you’re building agents that have to run long workflows, browse the web, and deliver trustworthy outputs over time, this episode is for you.

Lire plusRéduire

Agents at work 11: Running AI Generated code w/ Tereza from E2B

Saison 1 · Épisode 11

vendredi 18 avril 2025 • Durée 51:00

In this conversation, Jordi Montes and Tereza Tizkova dive deep into the challenges and opportunities around running AI-generated code safely and efficiently. Tereza explains how their E2B provides essential cloud sandbox infrastructure designed specifically for AI agents.The discussion explores why AI-generated code must be executed in secure, isolated environments and how E2B’s solution leverages micro virtual machines (micro VMs) to offer enhanced security, scalability, and speed. She highlights real-world applications like web app generation, deep research, data analysis, and computer-use agents,.They also address critical questions about open-source strategy, evolving LLM capabilities, industry benchmarks, and the exciting growth of AI agents in production settings.00:00 Introduction to E2B and AI Agents03:10 The Infrastructure Behind AI Agents05:48 The Evolution of E2B and Its Market Impact09:00 Customer Insights and Use Cases12:01 The Future of AI Agents and E2B's Role14:52 Open Source and Community Engagement18:02 Challenges and Opportunities in AI Development21:06 The Role of Data in AI Agents23:48 Exciting Developments and Future Directions27:13 Getting Started with E2B33:01 AI Hackathon in Prague: A New Era for Europe34:11 The European AI Landscape: Challenges and Opportunities Innovative Projects: Surprising Uses of E2B Understanding LLMs: Code Generation and Reasoning Versioning and Iteration: Enhancing Code Execution The Future of AI Infrastructure: Pricing and Data Insights The Evolution of AI Agents: What Lies Ahead51:00 Defining AI Agents: Capabilities and Future Trends

Agents at work 10: Tinkering is all you need w/ Sully Omar from Otto

Saison 1 · Épisode 10

vendredi 11 avril 2025 • Durée 41:32

In this episode, Jordi Montes and Sully Omar discuss the evolution of AI agents, emphasizing the importance of hands-on tinkering in understanding and developing these technologies. They explore the definition of AI agents, the future of their simplification and intelligence, and the implications of frameworks like MCP for AI interactions. The conversation also touches on the role of payment systems in AI, the paradigm shift in agent functionality, and the categorization of AI models through a structured framework. In this conversation, Sully discusses the tiered structure of AI models, emphasizing the importance of evaluating new models based on their performance and use cases. He shares insights on integrating AI into business products, particularly through innovative workflows that leverage spreadsheets.

Lire plusRéduire

Agents at Work 9: AI Agents from First Principles w/ Johno Whitaker from Answer.AI

Saison 1 · Épisode 9

jeudi 3 avril 2025 • Durée 01:05:00

In this episode, Jordi Montes and Johno Whitaker (https://answer.ai) discuss the evolving landscape of AI agents, exploring definitions, the impact of generative AI, and how AI development is becoming more accessible. Answer.AI is a new kind of AI R&D lab which creates practical end-user products based on foundational research breakthroughs. You can think about it as Xerox Labs for the AI era.They delve into notebook-driven development, integration of AI in software workflows, and debate whether the future will feature powerful single models or cooperative networks of smaller agents. The conversation emphasizes empowering users through thoughtful interaction design and innovative frameworks like LLMs.txt and FastHTML, highlighting AI's potential to enhance human creativity and cautioning against over-reliance on automation.

Lire plusRéduire

Agents at Work 8: building real AI agents at IBM w/ Roy Derks

Saison 1 · Épisode 8

jeudi 27 mars 2025 • Durée 55:20

In this conversation, Jordi Montes and Roy Derks discuss the evolution of AI agents, the role of IBM in the AI landscape, and the capabilities of the WatsonX platform. Roy explores the concept of agents in AI, industry adoption of AI technologies, and the balance between legal and engineering perspectives in large organizations. He also shares his journey from startups to IBM, highlighting the changes in development tools and the significance of GraphQL in AI integration. The discussion concludes with insights on the future of data access through MCP and the importance of making data easily accessible.

Lire plusRéduire

Podcasts Similaires Basées sur le Contenu

Découvrez des podcasts liées à Agents at work. Explorez des podcasts avec des thèmes, sujets, et formats similaires. Ces similarités sont calculées grâce à des données tangibles, pas d'extrapolations !

À propos Méthodologie Contact Me soutenir Politique de confidentialité

Agents at work – Détails, épisodes et analyse

Détails du podcast

Classements récents

Apple Podcasts

Spotify

Liens partagés entre épisodes et podcasts

Youtube18

Other4

Qualité et score du flux RSS

Historique des publications

Derniers épisodes publiés

Podcasts et contenus similaires

Podcasts Similaires Basées sur le Contenu

Apple Podcasts

Spotify

Podcasts Similaires Basées sur le Contenu

Youtube18

Other4