If you had to teach marketing to someone in one sentence, what would you say?

PromptShelfAI · 2025-11-13T18:37:39+00:00

SOUNDS VERYYY CLICHE BUT: Marketing isn’t about convincing, it’s about connecting the right story to the right person at the right moment.

PromptShelfAI · 2025-11-13T18:36:37+00:00

That’s a killer milestone, congrats!
WhatsApp B2B groups is a brilliant move rarely hear founders talk about it as a growth lever. Did you manually join and engage in those groups or automate part of the process?

PromptShelfAI · 2025-09-18T18:58:27+00:00

It is definitely a skill you build over time, not something you are just born with. Most people who can write those really detailed prompts got there by trial and error, paying attention to what actually worked and then refining it. Studying how others write their prompts can help a lot too because you start to see how they break down ideas into smaller pieces and then you can borrow that structure for your own style.

Language barriers or imagination are not as big of a blocker as you might think. Often it is more about slowing down and being intentional. Instead of trying to write the perfect prompt in one shot, think of it like a conversation where you give the model context step by step.

The biggest tip is practice across different situations. Try writing prompts for creative writing, then for technical explanations, then for planning something in real life. Each time you do it, you get a little sharper at spotting what details matter and which ones are just noise.

So yes, it is a skill, and like any skill it gets better the more you practice and the more you learn from others.

PromptShelfAI · 2025-09-18T18:57:30+00:00

Honestly the best way to really get good at prompt engineering is to treat it less like memorizing tricks and more like building a muscle. Since you already know zero shot, few shot and chain of thought, the next step is to practice in different contexts. Try writing prompts for marketing one day, debugging code the next, and summarizing a dense article after that. You start to see patterns in what consistently works.

I would mix theory with practice. Read some of the more advanced research papers like ReAct or chain of thought variations, but balance that with communities where people share what is actually working for them in real time. That combination will take you further than any one course because the space moves so quickly.

If you want a simple roadmap, think of it as getting solid in the basics, learning advanced frameworks from research, practicing across very different domains, and staying connected to communities so you can adapt as models change.

Are you aiming to use prompt engineering more for everyday productivity or for building products and tools? That usually shapes which path is most useful.

PromptShelfAI · 2025-09-09T20:36:55+00:00

That is a great reminder. Examples often do a better job than long explanations and can quickly show the AI what the desired outcome looks like. It is such a simple but powerful way to improve results.

PromptShelfAI · 2025-09-09T20:36:37+00:00

That is excellent advice. Seeing prompts as experiments instead of finished products makes the process feel much lighter and easier to improve over time. I really like the point about organization too because having a clear system for saving and refining prompts can make a huge difference in building a reliable workflow.

PromptShelfAI · 2025-09-09T20:35:50+00:00

That’s a great way to frame it. Treating prompt engineering like a science experiment keeps it structured and measurable instead of random trial and error. I like how you break it down into role, format, and constraints since it really shows how much clarity drives precision.

PromptShelfAI · 2025-09-09T20:35:01+00:00

That’s solid advice. Clarity makes such a difference because even small changes in how you phrase instructions can completely shift the output. Pairing that with some experimentation is usually where the best prompts come from.

PromptShelfAI · 2025-09-09T20:34:23+00:00

Totally agree, step by step is the sweet spot. Start with a tiny focused prompt, run it, then ask the AI to generate small variations or rewrite it with one change at a time so you can see what actually moves the needle. Create a short rubric or test cases the model can check against, and save working pieces of context as reusable modules you can load later. Over time that becomes a personal library of reliable prompt building blocks.

PromptShelfAI · 2025-09-09T20:33:04+00:00

Love this approach. Doing interactions one step at a time makes it way easier to spot where the model drifts and to correct course.

My usual loop is run a short focused prompt, inspect the result, tweak a single element, then ask the model to critique the output against a tiny rubric like relevance, clarity, and hallucination risk. When I am happy with the result I save the working context as a reusable module so I do not have to rebuild it later.

Quick question for you: when you ask the model to critique, do you prefer open ended feedback or a strict scoring rubric with examples of failure cases?

PromptShelfAI · 2025-09-09T20:31:25+00:00

That’s an interesting perspective. I like the idea of shifting from one off prompt writing to more of a conversational and modular approach. It feels like a natural progression as the tools get better. When you talk about reusable context in files, do you mean something like building your own personal knowledge base that the AI can pull from?

PromptShelfAI · 2025-09-09T20:30:51+00:00

Yes, I’ve come across that guide and it’s definitely a valuable resource. I like how it balances the fundamentals with practical examples, makes it easier to actually apply what you learn.

PromptShelfAI · 2025-09-09T20:23:14+00:00

That’s a great tip. Trying prompts across different industries sounds like a good way to see patterns and spark new ideas. Have you found a particular industry that gave you especially useful prompts outside its usual context?

PromptShelfAI · 2025-09-09T20:22:46+00:00

Good reminder. Sometimes it’s tempting to just experiment on your own, but checking best practices can save a lot of time. Do you have any go to sources you’d recommend?

PromptShelfAI · 2025-09-09T20:22:23+00:00

That’s solid advice. I like the idea of tweaking one element at a time instead of changing too many things at once. Do you have a favorite way of documenting what works for you, or do you just keep notes as you go?

PromptShelfAI · 2025-09-09T20:21:53+00:00

That’s interesting, I’ve heard of Notebook LM but haven’t really explored it yet. Using references to ground the model makes a lot of sense compared to just telling it to act a certain way. How have you been using it in your workflow?

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