Tag: prompt engineering
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Does Free-Text Workout Generation Actually Improve LLM Output Quality?
Does forcing an AI to output strict JSON actually make training plans better? In AFitPilot, we found the opposite. By shifting workout generation to free-text markdown and reducing prompt complexity, session quality, clarity, and coaching nuance improved measurably. Here’s why fewer constraints lead to smarter AI coaching.
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💻 Local LLM Limitations: Why They’re Not Ready for Real Logic
Local LLMs are getting faster, cheaper, and easier to run — but they still fall apart when the task needs real logic, structure, or adaptation. I tested the most hyped models head-to-head. Here’s what worked, what broke, and why hybrid AI stacks are still the way forward.