Built an intelligent AI agent that autonomously decides which tool to use—web search or a calculator—based on the user's query. Unlike a standard chatbot, this system uses agentic reasoning to route questions to the appropriate backend.
Engineering Challenges Solved:
Agentic Decision-Making: Implemented LangChain to give the LLM the ability to reason about user intent and select between a real-time web search tool (Tavily) and a secure mathematical expression evaluator.
Real-Time Information Retrieval: Integrated the Tavily Search API to fetch live, up-to-date answers for questions about current events and general knowledge.
Secure Math Evaluation: Built a sandboxed expression parser to safely evaluate mathematical queries without risking code injection, supporting complex calculations.
Tool-Calling Architecture: Designed a modular pipeline that allows the agent to chain multiple tools together when needed for complex queries.
Landing page design for Matterlane, an AI tool for law firms.
Matterlane’s agents turn client files into a brief, draft using the firm’s precedents, and flag what needs a lawyer’s decision. The whole matter moves forward in one place.
How do you run 12 AI agents without opening 12 dashboards?
One office, every desk is an agent. Amber means it's waiting for you.
One map instead of twelve dashboards.
AI agent development service