Building Reliable AI Agents: Blurring the Line Between Tools and Agents

Unlocking the power of AI agents: From self-driving cars to building reliable systems, I'm Robert, Co-Founder and CTO at Wordware, sharing insights on how to overcome common challenges in developing automated tools that can take action in the real world.

  • 1. Robert is the co-founder and CTO of Wordware, and has helped hundreds of teams build reliable AI agents.
  • 2. The promise of agents is automated systems that can take action in the real world on your behalf.
  • 3. Most agents are slow, expensive, and unreliable.
  • 4. Many agents are low-level wrappers around APIs designed for deterministic state machines, not language models.
  • 5. Agents struggle with long chains of requests, polluted context windows, and authentication.
  • 6. Every tool added to an agent adds noise to the context window.
  • 7. The solution is to add more agency to tools, blurring the line between what's a tool and what's an agent.
  • 8. Wordware has created a new MCP toolbox that allows for building agentic MCPs.
  • 9. With this toolbox, you can turn your Wordwares into tools for your agents.
  • 10. The toolbox allows for adding multiple tools, grouped together or disparate, and switching them on and off for different tasks.
  • 11. Robert demonstrates building a competitor analysis using the new MCP toolbox.
  • 12. The competitor analysis requires taste, reasoning, and integration into both Twitter and Notion.
  • 13. The Twitter scrape tool is used instead of finding a Twitter MCP.
  • 14. The analysis creates an output that is written to Notion and returns the URL in the output.
  • 15. With this toolbox, you can build highly reliable, highly repeatable, and highly aligned tools.
  • 16. This allows for generic agents to be very specific and powerful for doing a task.
  • 17. The agent can offload tasks to something more powerful, just as teams do with specialists in companies or the Avengers.
  • 18. Web toolbox can be used to build these flows.
  • 19. Anything can be used to build agentic MCPs.
  • 20. Wordware's new MCP toolbox blurs the line between what's an agent and what's a tool.
  • 21. The toolbox is still in early days, but it will be rolled out beyond beta soon.
  • 22. Robert connects the competitor analysis to Claude, using it inside his agent.
  • 23. Multiple tools can be added into the toolbox for different tasks.
  • 24. Wordware allows for creating highly reliable and aligned tools that allow generic agents to be very specific and powerful.

Source: AI Engineer via YouTube

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