4. Sandwich long documents with your task. When pasting 50+ pages, place the task BEFORE the doc AND restate it AFTER. [task] → [document] → [restate task] 1M context handles the length, but task proximity to the doc boundary locks the model's attention on what you actually
@godofprompt
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Optimizing LLM response quality using XML tags as attention anchors
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3. Switch from markdown to XML tags. Opus 4.7 responds to XML structure the way other models respond to markdown headers. Wrap your sections in , , , . The model treats them as attention anchors. Same content, dramatically better
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Improving AI Prompt Precision for Better Model Performance
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2. Stop writing prompts that assume the model "gets it." 4.6 prompt: "help me with my pitch deck"
(4.6 inferred you wanted structure + hooks + content tips) 4.7 prompt: "review the 10 slides below. flag weak hooks, missing stats, and confusing transitions. output as a -
Optimizing LLM Prompts by Removing ‘Think Step by Step’ Scaffolding
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1. Delete "think step by step" from your prompts. That phrase was scaffolding that compensated for 4.6's reasoning gap. Opus 4.7 has that depth built in at high effort. Keeping it now wastes tokens AND can degrade output. Fix: raise the effort level instead.
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Adjusting Prompting Strategies for Opus 4.7 Behavior Changes
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The shift is simple but devastating: Opus 4.6 inferred your intent and filled in the gaps.
Opus 4.7 does EXACTLY what you ask. Nothing more. Translation: the same prompt now produces narrower, terser, sometimes broken results. Here's how to fix it -
Prompt Engineering Adjustments for Claude 3.7 Opus
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RIP your old Claude prompts Opus 4.7 dropped 3 weeks ago and it follows instructions LITERALLY now. It scores 87.6% on SWE-bench (vs 80.8% on 4.6) but every prompt tuned for 4.6 is silently failing. 7 fixes that stopped my outputs from getting worse:
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Using AI prompts to automate solopreneur workflows
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Most solopreneurs spend 60-70% of their day in Q1 and Q3. Firefighting and reacting to other people's timelines. Q2 is where systems get built, skills compound, and your revenue stops depending on you showing up every single hour. This prompt shows you the split. Then
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Using MCP Connectors and Prompts for AI-Driven Data Audits
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Three ways to deploy this: MCP Connectors (strongest): If you use Claude with Google Calendar, Notion, or any connected app, paste the prompt and say "read my calendar for this week." Claude pulls your real schedule and runs the audit on live data. Spreadsheet upload: Export
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Using AI for Eisenhower Matrix task management and time auditing
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Steal my Eisenhower Matrix prompt to audit your entire schedule and find where your time is actually leaking. Built for solopreneurs who control their own calendar. Feed it your real tasks and it sorts every single one into four quadrants, exposes your time split, and rebuilds
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Claude Code technical team shifts from Markdown to HTML output
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The team that built Claude Code stopped using Markdown. This isn't from a random AI account farming engagement. Thariq Shihipar is on Anthropic's Claude Code technical staff. He helped build the tool, and he's publishing why his own team moved to HTML as their default output