Sorry, but this is (mostly) wrong. Do they *need* XML? No. But does it improve outputs dramatically for complex tasks? Hell yes.
PROMPT ENGINEERING
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Markdown Performance Limitations with Claude AI Models
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Agree, though I've found Markdown performs slightly worse on my tasks, esp. if using Claude
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XML Prompting Outperforms JSON for AI Models
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Of course, you can get way more in-the-weeds with this (see some of my prompts on my timeline), but truly, basic XML prompting is this simple. It'll almost always outperform JSON prompting, is easier to write, and easier to read.
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Why JSON Structured Prompts Fail Going Viral
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Of all the structured prompt approaches to go viral, why JSON? It’s like the worst option lol
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Gemini 2.5 Conversational Segmentation: Natural Language Vision AI
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🖼️ Conversational Segmentation (Gemini 2.5): hype or helpful?
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 28 juillet 2025
• Segments with natural‑language prompts (vs Meta SAM’s points/clicks/boxes/masks).
• Handles relationships, conditionals, OCR text, and multilingual labels.
• Great for prototyping and LLM apps; edge/real‑time… pic.twitter.com/APadBDIMn6Conversational Segmentation (Gemini 2.5): hype or helpful? • Segments with natural‑language prompts (vs Meta SAM’s points/clicks/boxes/masks).
• Handles relationships, conditionals, OCR text, and multilingual labels.
• Great for prototyping and LLM apps; edge/real‑time -
Model 4.5 Excels at Rewriting While Preserving Original Style
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4.5 is the only model I trust with writing, esp re-writing without changing the style – all others don't understand the task
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System Prompts: Workflow vs Agent Implementation Examples
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Maybe what we need here is concrete examples of a system prompt that implements a workflow compared to a system prompt that implements an agent
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Creating AI Workflow System Prompts and Tool Ordering
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By "create the workflow" do you mean a system prompt which spells out which tools they should use in which order?
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What does an AI agent architecture really look like?
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I genuinely do not understand what an "agent" looks like that is not implemented as a system prompt and a bunch of carefully selected tools that can then be run by the LLM in a loop – what am I missing here?