AI Product Engineer | Founder @ PlanSmart
I build autonomous, production-grade AI systems that solve expensive B2B bottlenecks. My background bridges the gap between raw LLM capabilities and measurable business ROI. I don't just write prompts; I engineer deterministic, zero-error agentic workflows using the WAT (Workflows, Agents, Tools) architecture and the Model Context Protocol (MCP).
As an Economics graduate (BGE) turned AI Architect, I approach software engineering through a product management lens. I focus on:
- Asymmetric Intelligence: Building agents that give sales and strategy teams an unfair advantage.
- Zero-Error Engineering: Enforcing strict typing, 100% offline-testable CI/CD pipelines, and mathematical isolation of untrusted data.
- Enterprise Extensibility: Abstracting all external integrations behind official MCP (FastMCP) servers to maintain clean reasoning loops.
Scout: Autonomous B2B Intelligence Engine
An enterprise-grade competitive intelligence agent. It ingests a target company and a strategic context, autonomously browses the live web (Tavily MCP), synthesizes the data via the Claude API, and outputs a CTO-ready Executive Briefing.
- Tech: Python 3.12+, Anthropic Messages API, FastMCP, Pydantic, Pytest (AST-guarded network blocking).
- AI/LLMs: Anthropic Claude API (Sonnet/Opus), Model Context Protocol (MCP), Agentic Workflows (WAT)
- Backend: Python 3.12+, Asyncio, Pydantic (Strict configuration boundaries)
- Engineering Quality: Pytest, Ruff (Lint/Format), Mypy (
--strict), GitHub Actions - Integrations: Tavily (Live Web Intelligence), FastMCP
Looking to automate complex workflows or build custom intelligence agents for your enterprise? Let's talk.
- Agency: https://www.plansmart.live
- LinkedIn: https://www.linkedin.com/in/nagy-adam-plansmart
- Email: adam@plansmart.live
"Business-first automation, engineered to production standards."

