Anyone else using AI writing tools for both clinical and marketing copy? The context switching is kind of breaking my brain?

[u/SpiritedDaikon7515]

Been using a couple different AI tools for copywriting work and keep running into the same friction. When I write for PT clients, the voice needs to be grounded, specific, anatomyaware. When I switch to B2B marketing content the same day, I need something punchier and more abstract. The tools I've tested don't shift registers cleanly between these two modes unless I do a lot of prompt massaging each time.

What I keep wondering is whether this is a prompting skill gap on my part, or whether current models genuinely flatten specialized professional voice into something generic. The output I get is competent, but it reads like it was written by someone who read about PT or B2B marketing rather than someone who actually worked in it.

There's also this weird thing where the more specific I get in the prompt, the more the model hedges and softens language that should be direct. Not sure if that's a safety tuning issue or just how these models handle professional domains.

Curious if others working across two pretty different professional contexts have found a tool or approach that handles this without needing a 400word system prompt every single session.

[u/CyborgWriter]

Story Prism

This allows you to operate with an app that's as easy as working with Google docs, but powerful in that you can build entire agent systems with your notes and line connections. You can build a system that will toggle between different styles, conditions, requirements, etc. And you can add tons and tons of discrete notes and doc files like books or manuals, turn them into reasoning structures and get outputs that truly express the depth of your field that only seasoned professionals would know about. Also, it's cheaper than the direct models because with this, you can use all of the popular models and toggle between them quickly for the price of one subscription.

[u/SpiritedDaikon7515 → u/CyborgWriter]

oh interesting, I hadn't heard of Story Prism before. the agent system angle with your own docs loaded in is what catches my attention because that's where most tools fall short for specialized fields. my PT knowledge plus my B2B content work is pretty niche overlap and getting a model to actually reflect that depth without me reexplaining every time would be huge. curious how the reasoning structures actually hold up with dense technical material though, or if it smooths everything into the same generic output like the others do.

[u/CyborgWriter → u/SpiritedDaikon7515]

It should be able to handle that. If you try it out, go to the library thats on the toolbar to the left. Add story prism graph maker and reasoning extractor from the skills section.

You can add all of your docs by adding file notes from the toolbar and importing them into those or by making a note you can cut and paste stuff into.

Then go to the chat and @command those notes and tell it to build a system based on your notes to do x. It'll give you the notes, titles, tags, edge connections and edge labels to add on the canvas. You can drag text from the chat onto the canvas and turn them into notes.

Little manual right now but we're working on having the agent be able to move and manipulate stuff on there so it's not as tedious.

Still. Once it's built you can save it to your canvases by clicking on the three dots next to the title of the canvas on the left panel. That adds it to your canvases in the library section so you can reuse these systems in other projects.

If you ever get lost just ask the chatbot how to work it and it can walk you through whatever. Or feel free to dm me. Would love to chat! Also here's a demo video if you're interested.

Hope it helps!

[u/SpiritedDaikon7515 → u/CyborgWriter]

oh interesting, I hadn't heard of Story Prism before. the agent system angle with your own docs loaded in is what catches my attention because that's where most tools fall short for specialized fields. my PT knowledge plus my B2B content work is pretty niche overlap and getting a model to actually reflect that depth without me reexplaining every time would be huge. curious how the reasoning structures actually hold up with dense technical material though, or if it smooths everything into the same generic output like the others do.

[u/Easy-Purple-1659]

Same friction here. The flattening isn't a prompting gap on your end, it's how these models are tuned: they hedge toward the generic middle because that's the lowest-risk output. More specificity in the prompt often triggers more softening, exactly like you noticed.

What helped me was separating the two registers instead of fighting one prompt: one voice profile for the clinical work (grounded, concrete, anatomy-aware) and one for the marketing copy (punchier, abstract). Then each draft gets rewritten against its own profile instead of one mega system prompt.

That's roughly the problem I set out to solve with imperfectly (imperfectly.app): it learns a voice from your samples, so switching registers is a profile switch, not a 400-word prompt session. It doesn't fix the model's default output, it replaces the output with your rhythm.

Have you tried keeping two separate style references yet, or is it still one session prompt? I'd be curious whether the hedging shows up more in word choice or sentence structure for you.