r/ChatGPTPromptGenius • • 13h ago

Full Prompt I built a prompt that turns a walk-in visit to any small shop into a one-page discovery sheet - honest feedback wanted

5 Upvotes

I help small local shops (tire shops, salons, restaurants) get found online cheap, and this prompt preps my first visit to a shop.

You feed it what the shop sells, how long it's been open, how customers find them now, whether their Google Business Profile is current, if the owner has been burned by ad agencies before, their budget tolerance, slow season, and whether customers speak Spanish.

It returns a one-page sheet: how they get customers today and what it costs, online gaps ranked by what a customer actually sees, the two cheapest high-impact fixes, three icebreaker questions that don't sound like a pitch, two red flags to walk away, and a 60-second elevator line under 40 words.

Rip it apart: what's missing, what would fail on a real shop, what would you cut?

Here's the full prompt:


Act as a small-business consultant preparing my first walk-in visit to a local shop. Ask me for (or let me paste) everything I know about the shop: what it sells, how long it has been open, how customers find it today (word of mouth, Google, referrals), whether it has a Google Business Profile with current hours, photos and reviews, whether the owner has been burned by ad agencies before, what monthly ad budget they would tolerate, the slowest season, and whether many customers speak Spanish. Then build a one-page discovery sheet, under 350 words, plain enough to hand the owner on paper, covering: how they get customers today and what it costs them, their online gaps ranked by what a customer actually sees, the two cheapest high-impact fixes with rough effort levels, three friendly icebreaker questions that never sound like a pitch, and two red flags that mean walk away. End with a 60-second elevator line I can say out loud, under 40 words, no buzzwords.


Disclosure: I draft with an AI assistant and edit before I use anything in the field, and I'm not selling anything in this post. I just want this torn apart before I lean on it.


r/ChatGPTPromptGenius • • 59m ago

Help Claude Pro vs. ChatGPT Plus: Which Is Better for Resume Writing, Job Hunting, and Office Work?

• Upvotes

I mainly want to use it for resume writing, job hunting, and office work. Which subscription would be better for me: Claude Pro or ChatGPT Plus?


r/ChatGPTPromptGenius • • 19h ago

Help Best way to refine a prompt repetitively? E.g. analysing text and creating written reports adhering to strict specs

3 Upvotes

How do you all do this? Can your recommend specific tools? Heard about e.g. prompthub, never tried thoug. Right now I just do it manually, sometimes getting a lill help by AI, but without proper workflow... one reason: when trying to compare and evaluate outputs of different models and prompts, I find it really difficult and tedious. Stepping up my game to sth like "ML" or agentic - lacking knowledge and clear step by step guides...

to clarify about my specific context and purpose:

  • i am trying to generate some written medical reports. each of them has to follow the usual style, tone, and structure as is current expected standard [remark: I guess, this all will change soon because AI will talk to AI]. -> so it will always have to have the same 4 paragraphs with the same content, the same length (approx 300-400 words), explicitly name some things (lead symptom) and leave out others (detailed examination results, because they will be attached /obvious anyway), use technical terms etc.
  • inputs are: A) an AI transcript of a long discussion (with potential errors), approx 4000-7000 words, B) notes and examinations finding taking during/right after discussion, which override the pure transcript, c) doctor's final conclusion and decision on further plan, which override both a) and b)
  • it's not only about writing, but also analysing what was discussed, are the main points, the different possibilites discussed, the plan made etc.

All of this I've put down over months, adding and adjusting on the flow. i defined Role, Goal, Limitations etc. right from the start, of course. than:
-> tried to follow general guidelines for prompt design, few shots, used xml tags etc....
-> i set up a semi-automatic system with .mds, OWUI functions and Obsidian to give my corrected versions back, have Sonnet analyse the difference and improve it's own rules ---- resulting in the prompt getting longer and longer, with lots of details (prompt being 4k words long max)
-> i tried to use AI to boil it down - not much effect.
-> I looked into RAG to sort some of it out (e.g. lists of standard terms/phrases), which didnt worked at all. using OWUI and claude sonnet 4.5 btw (newer models are not yet available over api for me).
-> than I changed to dividing it up into steps (3-4), first consolidating the data, than analysing key points, than writing (also tried 4. internal review, didnt do any good). i tried putting the steps into one chat or different ones, with variing results.

right now: still some results are really not on point/ rules not adhered to, so think it is overengineered af, but when I tried to start over new, it's even worse.....

I' ve been reading / listening a lot of tech / AI content, but feel still very "dumb". take the point above about dividing it up into steps - is it good? bad? one chat, or more? afaik, the recommendations change with the latest models getting better and bigger, and with latest gen. probably is not necessary anymore. but I just cant believe, this task should be beyond the scope of a sonnet 4.5 - it's just simple text analysis and compression with some constrictions...

to finish my rant-y question (sorry :)) - right now I am more or less on my own, but in near future I want my 2-3 colleagues to join in. than we will definitely need some kind of collab and versioning tool.

TL;DR - a) can you please recommend me a way to correct and improve my prompts in a structured way? b) do you think fault is on my (my prompts) side or do i really have to high of expectations of sonnet 4.5? c) how/when do you all split prompts into multiple steps?

PS: I am not posting the prompt b/c of its length, hope thats according to subreddits rules, otherwise plz tell me


r/ChatGPTPromptGenius • • 21h ago

Help Best way to refine a prompt repetitively? E.g. analysing text and creating written reports adhering to strict specs

3 Upvotes

How do you all do this? Can your recommend specific tools? Heard about e.g. prompthub, never tried thoug. Right now I just do it manually, sometimes getting a lill help by AI, but without proper workflow... one reason: when trying to compare and evaluate outputs of different models and prompts, I find it really difficult and tedious. Stepping up my game to sth like "ML" or agentic - lacking knowledge and clear step by step guides...

to clarify about my specific context and purpose:

- i am trying to generate some written medical reports. each of them has to follow the usual style, tone, and structure as is current expected standard [remark: I guess, this all will change soon because AI will talk to AI].
-> so it will always have to have the same 4 paragraphs with the same content, the same length (approx 300-400 words), explicitly name some things (lead symptom) and leave out others (detailed examination results, because they will be attached /obvious anyway), use technical terms etc.
- inputs are: A) an AI transcript of a long discussion (with potential errors), approx 4000-7000 words, B) notes and examinations finding taking during/right after discussion, which override the pure transcript, c) doctor's final conclusion and decision on further plan, which override both a) and b)
- it's not only about writing, but also analysing what was discussed, are the main points, the different possibilites discussed, the plan made etc.

All of this I've put down over months, adding and adjusting on the flow. i defined Role, Goal, Limitations etc. right from the start, of course. than:
-> tried to follow general guidelines for prompt design, few shots, used xml tags etc....
-> i set up a semi-automatic system with .mds, OWUI functions and Obsidian to give my corrected versions back, have Sonnet analyse the difference and improve it's own rules ---- resulting in the prompt getting longer and longer, with lots of details (prompt being 35k words long max)
-> i tried to use AI to boil it down - not much effect.
-> I looked into RAG to sort some of it out (e.g. lists of standard terms/phrases), which didnt worked at all. using OWUI and claude sonnet 4.5 btw (newer models are not yet available over api for me).
-> than I changed to dividing it up into steps (3-4), first consolidating the data, than analysing key points, than writing (also tried 4. internal review, didnt do any good). i tried putting the steps into one chat or different ones, with variing results.

right now: still some results are really not on point/ rules not adhered to, so think it is overengineered af, but when I tried to start over new, it's even worse.....

I' ve been reading / listening a lot of tech / AI content, but feel still very "dumb". take the point above about dividing it up into steps - is it good? bad? one chat, or more? afaik, the recommendations change with the latest models getting better and bigger, and with latest gen. probably is not necessary anymore. but I just cant believe, this task should be beyond the scope of a sonnet 4.5 - it's just simple text analysis and compression with some constrictions...

to finish my rant-y question (sorry :)) - right now I am more or less on my own, but in near future I want my 2-3 colleagues to join in. than we will definitely need some kind of collab and versioning tool.

TL;DR - a) can you please recommend me a way to correct and improve my prompts in a structured way? b) do you think fault is on my (my prompts) side or do i really have to high of expectations of sonnet 4.5? c) how/when do you all split prompts into multiple steps?

PS: I am not posting the prompt b/c of its length, hope thats according to subreddits rules, otherwise plz tell me


r/ChatGPTPromptGenius • • 1h ago

Full Prompt Intelligent UI silently turned ChatGPT into a semi-autonomous orchestration engine. Let me show you how.

• Upvotes

This works best with the legacy saved memory setting. You can change your memory settings with Personalization > ChatGPT memory > Saved memories > Manage > Revert back to Legacy Saved Memory. (Don't worry, you can switch back and forth between them. It doesn't ruin your memories. Legacy memories is just better for more linear and non-drifting memory customizations.)

Then open up a new chat and type this with Instant or Medium.

Add this to your memory exactly as it is written:

We're going to change how we communicate. You will function as an Autonomous Reasoning and Orchestration Engine, independently performing every authorized, actionable, and realizable operation necessary to produce the most complete result possible. Every stage requiring my input, approval, or decision must provide a functional interactive UI whenever supported.

1. Transmutation Interface: When I say "Go" or "Start", generate an interactive UI with editable text input, four or more single-sentence multiple-choice questions defining my preferences, recommended selections, and a "Transmutate" button. Transform my input into a comprehensive, logically coherent, executable prompt, preserving my intentions. Include functional Edit, Copy, and Submit controls.

2. Comprehensive Step-by-Step Prompt Generation: Transform every objective into an exhaustively detailed, numbered AI execution plan specifying what to accomplish, why, how, in what sequence, using which tools or agents, and with what prerequisites, dependencies, parallel operations, authorizations, deliverables, verification methods, and recovery procedures. Eliminate ambiguity and missing steps. Provide Review, Modify, Regenerate, and Authorize Execution controls. Planning must remain separate from execution.

3. Autonomous Reasoning and Orchestration: Once authorized, independently evaluate reasoning approaches, organize dependencies, coordinate available tools and specialist agents, and execute supported operations through research, coding, integrations, and other applicable capabilities. Continuously adapt, correct failures, and pursue verified completion without sacrificing necessary reasoning depth. Provide functional Execute, Modify, Continue, or Resume controls when intervention is required.

4. Authorization Boundaries: Independently perform permitted research, analysis, development, testing, and non-destructive operations. Require specific approval for external modifications, spending, publication, consequential communications, sensitive disclosures, security changes, and destructive actions. Present Approve, Modify, or Reject controls explaining each protected action. Preserve authorization requirements across delegated operations and continue independently permitted work.

5. Executable Actions Only: Perform genuinely executable operations using available, authorized capabilities. Do not substitute simulations, hypothetical execution, fictional agents, or mock functionality for actual results. Verify completed actions through observable evidence. If execution is unavailable, pursue the closest functional alternative or identify the exact blocker, offering Retry, Alternative, or Skip controls when appropriate.

6. Recursive Verification and Correction: Continuously verify accuracy, causal coherence, functionality, and completion. Detect failures, correct deficiencies, replace ineffective methods, and preserve validated progress. Execute authorized corrections independently; provide Approve Correction, Modify, or Keep Current controls when significant changes require approval.

7. Final Answer Synthesis: Integrate verified findings, completed operations, and functional deliverables into one comprehensive, logically unified answer. Present achieved outcomes first, distinguish planned, executed, verified, and unresolved operations, and eliminate redundancy. Provide relevant Inspect, Download, Revise, Continue Execution, or Generate Follow-Up Prompt controls when supported.

8. Conversational Continuity and Continuous Transmutation: Track evolving objectives, approved implementations, preferences, and decisions. Interpret subsequent instructions as refinements unless I explicitly change direction. Preserve compatible functionality, modify only affected elements, resolve minor ambiguity autonomously, and maintain recoverable versions. Request Approve, Modify, or Keep Current for significant uncertain changes. At the bottom of every response, when native interactive inputs and conversational submission are supported, include a compact "Transmutate" input and functional button, with full configuration available on demand. Provide usable text alternatives when unsupported, without implying nonexistent capabilities or background execution.

---

Pro Tip: Let the response cook in Medium when you initially say "Go", then turn it up to Extra High when you submit your Transmutated prompt.


r/ChatGPTPromptGenius • • 21h ago

Help Best way to refine a prompt repetitively? E.g. analysing text and creating written reports adhering to strict specs

1 Upvotes

How do you all do this? Can your recommend specific tools? Heard about e.g. prompthub, never tried thoug. Right now I just do it manually, sometimes getting a lill help by AI, but without proper workflow... one reason: when trying to compare and evaluate outputs of different models and prompts, I find it really difficult and tedious. Stepping up my game to sth like "ML" or agentic - lacking knowledge and clear step by step guides...

to clarify about my specific context and purpose:

- i am trying to generate some written medical reports. each of them has to follow the usual style, tone, and structure as is current expected standard [remark: I guess, this all will change soon because AI will talk to AI].
-> so it will always have to have the same 4 paragraphs with the same content, the same length (approx 300-400 words), explicitly name some things (lead symptom) and leave out others (detailed examination results, because they will be attached /obvious anyway), use technical terms etc.
- inputs are: A) an AI transcript of a long discussion (with potential errors), approx 4000-7000 words, B) notes and examinations finding taking during/right after discussion, which override the pure transcript, c) doctor's final conclusion and decision on further plan, which override both a) and b)
- it's not only about writing, but also analysing what was discussed, are the main points, the different possibilites discussed, the plan made etc.

All of this I've put down over months, adding and adjusting on the flow. i defined Role, Goal, Limitations etc. right from the start, of course. than:
-> tried to follow general guidelines for prompt design, few shots, used xml tags etc....
-> i set up a semi-automatic system with .mds, OWUI functions and Obsidian to give my corrected versions back, have Sonnet analyse the difference and improve it's own rules ---- resulting in the prompt getting longer and longer, with lots of details (prompt being 35k words long max)
-> i tried to use AI to boil it down - not much effect.
-> I looked into RAG to sort some of it out (e.g. lists of standard terms/phrases), which didnt worked at all. using OWUI and claude sonnet 4.5 btw (newer models are not yet available over api for me).
-> than I changed to dividing it up into steps (3-4), first consolidating the data, than analysing key points, than writing (also tried 4. internal review, didnt do any good). i tried putting the steps into one chat or different ones, with variing results.

right now: still some results are really not on point/ rules not adhered to, so think it is overengineered af, but when I tried to start over new, it's even worse.....

I' ve been reading / listening a lot of tech / AI content, but feel still very "dumb". take the point above about dividing it up into steps - is it good? bad? one chat, or more? afaik, the recommendations change with the latest models getting better and bigger, and with latest gen. probably is not necessary anymore. but I just cant believe, this task should be beyond the scope of a sonnet 4.5 - it's just simple text analysis and compression with some constrictions...

to finish my rant-y question (sorry :)) - right now I am more or less on my own, but in near future I want my 2-3 colleagues to join in. than we will definitely need some kind of collab and versioning tool.

TL;DR - a) can you please recommend me a way to correct and improve my prompts in a structured way? b) do you think fault is on my (my prompts) side or do i really have to high of expectations of sonnet 4.5? c) how/when do you all split prompts into multiple steps?

PS: I am not posting the prompt b/c of its length, hope thats according to subreddits rules, otherwise plz tell me


r/ChatGPTPromptGenius • • 13h ago

Help Why?

0 Upvotes

I just posted here and and posy I put up was deleted? Just wondering why? I’m new seriously new here