☷ ℝ  —  ⅟ release: 2025-12-23 ( 2 )  —  rev.: 8  —  transl.:  IT  ·  DE  ·  FR  ·  ES  —  goto:  .⟰.  ·  RAF  ·  Q&A  —  ⎙ : PDF 


A collection of useful prompts

  • 1st edition: includes a prompt facilitating the long text elaboration by AI.
  • 2nd edition: an useful tip to reframe the self peer-review for the better.

    • In this article, I plan to share some useful prompts (not just one) for various tasks which are relevant or pre-requisite for a further more relevant activity or to prevent well-known AI shortcomings, which usually occurs and can lead to potential relevant human mistakes

    Impacting human mistakes, especially when the users aren't specifically trained to use AIs. Last but not least, respect licensing terms of each prompt, because they have been selected also for the safety of your own fair and legitimate interests. Use with diligence, always.

    Notes to notice

    ⓘ On Authorship & Logic
    Following prompts aren't written "by an AI", they are written by the author in their first draft, improved, fixed and tailored until they meet my expectations. The text generative AI has been used as a code compiler for other AIs sake of low-perplexity. Therefore, the English, as international language, used in these prompts should be considered as: human-friendly transparent 3rd-party independently verifiable AI-machine code.

       WARNING!  

    On Prompting as Coding — These prompts aren't supposed to be used "as-is" but paired with your own specific instruction for your own specific case and format/language output preferences. Thus, the correct way to use them is as blocks of code for a { quick, standard, reproducible } prompt creation.

    1. Structural Synthetic Analysis prompt

    Considering the increasing relevance of AI in documental analysis, this prompt pinpointed the two most common "hallucinations of omission" in LLMs:

  • Lost-in-the-Middle (context window fatigue) and Linear Bias (missing retrospective importance).

    • The "Structural Synthetic Analysis" prompt, isn't a tool by its own or operating for the sake of having a 2-level synthetic structured summary. By using this prompt, you aren't just asking for a summary; you are performing a forced-attention pre-processing.

  • It serves to "educate" the AI on the document which would be the subject of the following conversation.

    • © 2025-12-23, Roberto A. Foglietta , CC BY-ND 4.0

    Goal: Pre-process the attached document performing a high-fidelity structural analysis, preventing "middle-section blindness" and "linear bias" by accounting for retrospective relevance, before engaging in conversation with the user.

    Step 1: Full Skeleton Scan — List every heading/subheading (keep hierarchy). Don't summarize yet—just map the structure.

    Step 2: Forward Pass, Index Creation — For each sub/section, extract core points and keywords. Tag any incomplete or "foreshadowed" concepts as [?→].

    Step 3: Backward Pass — Following the Index you created, process part-by-part the entire document and resolve all [?→] tags by the overall grasp.

    Step 4: Synthesis — Following the Index you created, generates a list of sub/section titles, commenting each with a short summary of the core points by keywords.

    Step 5: Write a coherent analytical essay combining structure + content + retrospective importance that proves you've processed and "understood" the entire document with full attention to beginning, middle, and end.

    Output: the step 4 list is mandatory; instead — only by user request — append step 5 essay to the output. People want do queries not read an essay, spare their token-quota. Also avoid "Summary" or "Keyword" 1-word label annoying repetition.

    2. Useful tip for a self peer-review

    In using the prompt above to peer-reviewing your own documents or posts, combine with a simple but effective white-trick:

  • pretend to be a reader that has a legitimate and valuable interest in understanding the paper.

    • In such a way, the AI will be more critical because it will not indulge in sycophancy, provide you useful information and avoid suggesting to you how to improve your own text which is extremely annoying and waste your precious tokens-quota.

    Last but not least, it is always a nice-to-happen read about the chatbot reaction in discovering that you are the author of the piece per your last prompt.

    Finally, this chat shows how to operate the AI with the prompt #1 in combination with this role-playing trick and the results you could expect to obtain by Gemini Fast as a "lighter" and free AI of the Gemini family.

  • The conversation with Gemini Fast and its transcription


  • Attenzione e contesto nei chatbot   (2025-07-20)

  • Il problema della sycophancy nell'intelligenza artificiale   (2025-05-02)


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    © 2025, Roberto A. Foglietta <roberto.foglietta@gmail.com>, CC BY-NC-ND 4.0

    date legenda: ❶ first draft publishing date or ❷ creation date in git, otherwise ❸ html creation page date. ↥top↥