The Prompt That Writes Itself
Prompt engineering is iteration. You read what failed, tweak the prompt, run it again, repeat. It's a tedious, but inextricable, part of building with LLMs. GEPA (Genetic-Pareto) takes that loop off y
Fractional AI Engineering Blog
Latest articles
Artifact-driven AI creation
How artifact-based thinking makes AI-assisted creation precise and cumulative
Using MCPs with evals
When I joined Fractional AI, one of the first lessons I learned was that evaluations drive every major decision in our projects, from first prototype through post-launch improvement. In our initial cu
Applied AI Digest: Volume 1
Top links and resources from Fractional AI, curated for AI engineers.
The "quick fix" that works: runtime patching in Python
Motivation We wanted to generate demo videos with the python library Supervision but they wouldn't play in Chrome. There was a one-line fix buried inside the library -- but the public API gave us no w
If I could turn back time
Have you ever exclaimed after a few hours engaged in some fruitless activity, "Well, that's X hours of my life I'll never get back"? Or, when in a reflective mood, "I wish I knew this when I was 16!"?
Your evals have a Rotten Tomatoes problem
You push a change to a prompt and your eval score drops from 0.91 to 0.84. Something got worse, but the score doesn’t tell you what. So you start re-running the pipeline, tweaking your inputs, pouring