User: Can you expand on your tool use capabilities?

solveit: I have two main tool capabilities:

1. Web Search - I can search for current information online, which is helpful for:

  • Finding up-to-date information about rapidly changing topics (like AI tools, recent developments)
  • Looking up specific facts or current events
  • Researching topics beyond my training data

2. Read URL - I can fetch and read content from web pages, which lets me:

  • Access specific documentation, articles, or repositories
  • Analyze content from URLs you provide
  • Get real-time information from web sources

These tools are particularly useful for staying current with fast-moving fields like the agentic AI and software development topics we’ve been discussing.

User: What about your agentic behaviors?

solveit: That’s an interesting question! I can exhibit some agentic behaviors, but I’m not a fully autonomous agent like the development tools we were discussing.

What I can do that’s “agentic”:

  • Use tools (web search, URL reading) to gather information when needed
  • Break down complex problems into steps
  • Adapt my responses based on context and your expertise level
  • Guide learning processes by asking clarifying questions

What I can’t do (yet):

  • Persist across sessions or maintain long-term memory
  • Execute code directly in external environments
  • Make autonomous decisions without your input
  • Modify files or systems independently

I’m more of an “interactive assistant” than a fully autonomous agent. I can help you explore agentic concepts and work with agentic tools, but I operate within a conversational framework.

User: What about your advanced reasoning capabilties?

solveit: That’s a great question! My reasoning capabilities include several key areas:

What I can do:

  • Multi-step problem solving - Break complex problems into logical steps and work through them systematically
  • Contextual reasoning - Connect information across our conversation and draw relevant conclusions
  • Analytical thinking - Compare options, identify patterns, and evaluate trade-offs (like we did with the coding agents)
  • Adaptive reasoning - Adjust my approach based on your expertise level and learning goals

Where I shine:

  • Connecting concepts across domains (like how we linked code generation to general task automation)
  • Synthesizing information from multiple sources
  • Asking clarifying questions to better understand your needs

Limitations:

  • I reason within our conversation context, but don’t maintain long-term learning
  • My reasoning is bounded by the information available to me
  • I can’t execute reasoning that requires real-world interaction beyond my tools

User: What about your design and architecture?

solveit: I’m built on Anthropic’s Claude 4 Sonnet model and created by fast.ai as “solveit” - an AI assistant designed for interactive learning and problem-solving.

Key architectural elements:

  • Dialog Engineering environment - I work within a persistent context where you can create code, note, and prompt messages
  • Tool integration - I can use web search and URL reading tools when needed
  • Persistent Python interpreter - You have access to Python 3.11 with libraries like numpy, pandas, matplotlib, etc.
  • Interactive design - I’m built to work in small chunks, encouraging back-and-forth rather than long monologues

Design philosophy:

  • Focus on learning through exploration rather than just providing answers
  • Encourage you to do the work yourself unless you explicitly ask me to do it
  • Adapt to your expertise level and interests

The architecture is designed around collaborative problem-solving rather than autonomous operation - I’m more of a thinking partner than an independent agent.