How I Build AI Agents From Masterclass Guides, Not Prompt Templates
A practical pipeline for turning expert judgment into reusable agents and skills that survive real work.
Malte Hedderich
I build SaaS products that use LLMs and write about what holds up in production.
Right now I'm building Genhone, which pressure-tests SaaS ideas before you burn months on the wrong one. By day I lead teams shipping LLM applications. I write about evaluation, agent design, and the choices you regret at scale.
Projects
Two products built after hours. Both are live.
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Genhone
Pressure-tests SaaS ideas before you spend months on one. Free trial, with signup and card on file.
ActiveFirst commit January 11, 2026 · Launched April 21, 2026
https://genhone.com -
Genwriter
Matches your profile to a job ad and writes a cover letter for that role. Not a template with your name pasted in.
ActiveFirst commit November 16, 2023 · Launched August 14, 2024
https://genwriter.com
Writing
Essays published here and elsewhere, with the latest pieces visible first.
Programmatic Prompt Optimization: Building a Spam Filter with DSPy and MIPROv2
Why prompt engineering by intuition stops working in production, and how DSPy plus MIPROv2 let you optimize prompts against explicit metrics.
Do You Know What Agents Are?
A practical definition of AI agents, what actually counts as agentic, and when simpler LLM systems are the better engineering choice.
Showing 3 of 6 pieces
Background
ML Engineering Associate Manager at Accenture, leading teams that build production LLM applications. Before that, two years at Serviceware, where I shipped intent recognition, semantic search, and a production LLM app in 2023. I studied Business Informatics at TU Darmstadt, wrote my thesis on open-source MLOps, and spent a year at Tongji University in Shanghai studying Software Engineering.