Agents at work

In this engaging discussion, Josh Meyer, founding engineer at Tollbit, dives into the exciting world of AI agents and their integration with large language models. He shares insights on BrowserPassport, a novel solution for AI agent authentication. The conversation also highlights the challenges of web security and the innovative frameworks shaping AI technology. Josh emphasizes the unique advantages of being in San Francisco for AI startups, offering a fascinating glimpse into the future of AI and its potential impact on publishing and decision-making.

In this episode, Jordi Montes speaks with Arjun Chintapalli and Bhavani Kalisetty, co-founders of Retriever (https://rtrvr.ai), about the evolution of browser AI copilots. Arjun shares his background in federated learning at Google before founding RTRVR in December. Browser extension approach to AI assistance represents a significant advancement over traditional automation methods. By interpreting DOM representations rather than screenshots, this technology achieves greater speed, accuracy, and reliability compared to vision-based alternatives. The conversation explores how browser-based AI agents can simultaneously work across multiple tabs, extract structured data from websites, and integrate directly with productivity tools. All at a fraction of traditional web scraping costs. The technical advantages of operating within the user's browser environment include bypassing anti-bot systems, utilizing existing user credentials, and maintaining minimal performance overhead. They also discuss their vision for a workflow exchange marketplace where users can share automation recipes.

Thorsten Ball, a software engineer at Sourcegraph and author of influential coding books, dives into the future of coding with AI agents. He shares insights on how AI, particularly through large language models, is transforming software development. The conversation highlights the role of AI in enhancing coding productivity and user interaction tools. Thorsten emphasizes the need for developers to adapt to new paradigms, reshape code practices, and embraces AI tools to improve documentation and commit messages for a seamless coding experience.

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.

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.

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.