Different goals need different prompts • Structured → clarity
• Analytical → evidence
• Conversational → creativity
• Planning → execution The best prompt matches the task. Via Giuliano Liguori (
@ingliguori
) #AI #Prompts #GenAI
PROMPT ENGINEERING
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Optimizing Prompt Strategies for Different AI Task Goals
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Using AI assistants for LaTeX formula extraction in research papers
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Need a quick way to extract a formula?
— alphaXiv (@askalphaxiv) 13 mai 2026
alphaXiv’s assistant actually supports LaTeX generation!
Just simply highlight the equations in the paper, and ask the assistant for the LaTeX code, then copy it to the workspace of your choice. pic.twitter.com/mQd0a0w6VzNeed a quick way to extract a formula? alphaXiv’s assistant actually supports LaTeX generation! Just simply highlight the equations in the paper, and ask the assistant for the LaTeX code, then copy it to the workspace of your choice.
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Appreciating Layers of AI Security: Beyond Prompt Injection Dangers
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if your reaction to this is “haha openclaw bad, see prompt injection is the #1 danger” you:
1) havent sufficiently appreciated the layers to this tweet
2) havent seen enough ai api keys -
Using AI as a Personal Consumption Time Manager
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8. Consumption Time Manager Prompt:
"Help me create simple rules for consuming movies and series for free without wasting too much time. Define daily limits, recommend short content, and organize efficient viewing sessions." -
Simple model testing for prompt tuning
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2/5 Simple model testing: Tune a prompt → evaluate across models → pick the best operating point. Good for single-call or low-complexity agents.
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Debugging LLM prompt usage and consumption
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A few prompts sounds very low. Would you mind running /usage and pasting the full output here? Happy to debug together
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OpenAI confirms Study Mode still accessible via slash commands
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OpenAI contacted me to say “Study Mode is still live and accessible via /study and /learn shortcuts” so that’s good, although the official study mode page doesn’t mention that. (I don’t think slash commands are a natural thing for the vast majority of people).
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holaOS Beta 0.1: Persistent AI Workspaces
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Tired of AI amnesia?
— Charly Wargnier (@DataChaz) 12 mai 2026
holaOS Beta 0.1 just dropped 💥
By replacing one-off sessions with persistent living workspaces, it ensures your context, rules, and history are always preserved.
Plus, it features Sub Agents to execute tasks and a Dashboard to oversee everything 👀 ↓ https://t.co/LabSi2jkdnTired of AI amnesia? holaOS Beta 0.1 just dropped By replacing one-off sessions with persistent living workspaces, it ensures your context, rules, and history are always preserved. Plus, it features Sub Agents to execute tasks and a Dashboard to oversee everything ↓
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Prompt precision requirements across newer LLM generations
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6. Precision scales with model capability. A key insight from the thread: newer models like Opus expect more precise instructions and guess less than previous versions. If your prompts worked fine on older Claude but break on the latest version, your prompts were always vague.
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Using Planning Mode to Improve AI Code Generation Quality
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4. Use planning mode before execution mode. Multiple commenters flagged this. When you let Claude plan the approach before writing the code, the output quality jumps. When you skip straight to "write the code," you're asking a nondeterministic system to make architectural