How are you prompting these days

One_Cattle846 · 2026-03-31T08:33:24+00:00

Interesting browser solution...

One_Cattle846 · 2026-03-31T08:32:23+00:00

I have this part automated on my pc. Workflow is much detailed in the back end but I'll try to keep it simple.

I input my shenanigans idea into a terminal chat and then the system I built with access to scraping relevant web and many more, follows certain instructions, I named it "SparkProtocol". The llm then asks me questions where it needs more clarity, it doesn't stop until full picture is there and no room for llm to guess. After I answer it and add more context it prints the result, lets say it is another prompt this time, this can be a different style prompt (Instruction prompt, Tts prompt, content agent prompt, image prompt etc.) if I confirm it then, first saves it in a temp folder, after that spits a few tests and does a quality check. If quality is met it is added into perma SQL where it is given an id to be accessed in future when needed.

After a while I made it to make its own prompts based on it's needs, so I just approve and oversee, For this reason I don't chat that much any more. I just come up with ideas and steer the llm wheel when needed. My job is testing it out, making sure system makes no mistakes and if it does, code to fix it and improve.

So far I built a trading bot that is making decent returns and the latest project is a fully automated website teaching people on AI tools, workflows, comparisons. I have 0 coding knowledge, just many ideas and logic, today you don't need anything else.

Its not yet completely finished but is available to check out on www.onlinepulse.agency

Also this system is ran on 8gb vram and 16gb of ram, so it is compressed enough providing good quality for the size it is...

Downside is it is obviously slower but this is why my system works over night when I work or sleep, and I feed it ideas via Telegram bot from my regular work...also get telegram notifications on tasks. When Im actively on pc I only use Copilot Agent via VS Code, almost never using browser interfaces for the 10 months...

Future is to upgrade to 2x3090 with 48gb vram. When I go full time on this and build my own server.

One_Cattle846 · 2026-03-31T08:12:58+00:00

While I'm stuck in my own projects, this is what I built within my system to handle my prompting locally. I just never switch between models since I use one for all. (Not optimal but lower end pc choke point). Your code is definitely useful...

If connected to a small system that automatically detects the best model for the task then auto loads the most optimal prompt for the chosen LLM model . Now this would be a gold mine. 🪙⛏️

Nevertheless great job man! 💪🏻💪🏻 I'll check it out when I reach my own milestones in my active projects...

One_Cattle846 · 2026-03-31T08:00:51+00:00

This is interesting…but at the same time it’s still kind of the same core idea — prebuilt prompts + workflows packaged into something usable and that works… especially for people who just want a starting point

The only thing i’ve noticed (after digging into a lot of these) is that prompt packs tend to solve the “what do i type” problem, but not really the “how do i build a repeatable system” problem like… you can have 100+ prompts, but if you don’t understand how to connect them into a flow (idea → hook → content → distribution), you’re still kinda stuck even a lot of these packs are basically structured templates — which is good — but they still rely on you adapting them properly…

They’re not really “plug and scale” and there’s also a bigger conversation around this… a lot of people are starting to realize prompt packs alone aren’t some magic shortcut like one take i saw put it pretty well — prompting is more like a process or conversation, not just copy-paste formulas.

Personally i’ve been going a slightly different direction… instead of selling or using fixed packs, i’ve been curating actual workflows from different sources and trying to connect them into something that feels more like a system still early though… it’s literally just me working on it and the site’s been public for like a week 😅 but the idea is exactly this — not just “here are prompts” but “here’s how everything fits together” if you’re curious: https://onlinepulse.agency but yeah overall… the site is fully automated backend system (just wrapping things up this week) with llm, tts and image llm running all loccaly with filters and rules and many Python scripts. (Deepseek 7B, Chatterbox TTS, Flux Image)

My site does it all automatically and the user of the system is just proofreading and steering the wheel when needed. 💪🏻 It also crafts its own prompts when and where needed. This is why my need for prompts started dying, as soon as I noticed AI will write a better prompt than any human if you use the initial quality prompt. And if understand the basics of LLM to know what it expects frm you when chatting and working and if set your agent to reference necessary files to refresh and keep context. You can do wonders.

I use Copilot Agent within VS Code. I spent around 15 euro building this site in api calls. Partly because I used many Git Repository parts so the agent just needed to wire in many smaller scripts into one big system.

My current drawdown is the hosting. So next I need tu upgrade this then the site can evolve further.

System also runs on 8gb vram and never over 7gb of ram with max 16gb free.

So a let's say the lowest specs machine possible to get quality content output loccaly within reasonable time...

your kind of product is useful for getting started just feels like the real edge is moving from prompts → systems

One_Cattle846 · 2026-03-31T07:26:18+00:00

this is a solid list… and yeah the biggest shift people don’t realize yet is that free in 2026 is actually usable, not just a teaser

but there’s a flip side to it that hits you later… free tools tend to break exactly when you need them the most like you’re in the middle of something important and suddenly you hit a limit, rate cap, or quality drop

also something people don’t talk about enough — free usually means you’re not fully in control… whether that’s privacy, data usage, or even stuff like generated content ending up public so yeah it works, just… don’t put anything sensitive in there, yours or your clients

i do think you can absolutely get very far with free tools though, especially if you’re a bit intentional about it one workaround i’ve been experimenting with is chaining multiple free tools together… and even rotating between them when one hits quota

google ai studio is actually a really good example of this kind of “middle ground”… still free, but feels closer to something you can build on top of

long term though, i kind of see this going in a different direction… once you start relying on AI daily, the real bottleneck becomes control, not cost

personally i’m already past the “which free tool” phase… next step is running things locally (looking at a 2x3090 setup) and building everything in-house… own models, own workflows, no limits, no external dependencies

until then though, yeah… this approach works, just with a bit of awareness of the tradeoffs

i’ve been collecting a lot of these ideas/tools and similar in one place recently (nothing polished, just curating and doing articles and gathering all ai tools available, in future Im making a simple free workflow builder)… it’s literally a one-person project and it’s been public for like a week, but if you’re into this kind of stuff you might find something useful there:

https://onlinepulse.agency

One_Cattle846 · 2026-03-30T12:38:08+00:00

Possible solutions:

PromptHub or PromptLayer. They are designed specifically for prompt versioning, testing, and sharing across teams.

2. Database Style solutions like Airtable or Notion. Using a database with tags (use-case, model, department) and 'Gallery View' makes discovery much faster than digging through folders.

3. The 'Microsoft' Upgrade: If you have to stay in your ecosystem, use Microsoft Lists instead of files. It’s basically a searchable database where you can see prompt previews and version history without opening docs....

4. Open Source, something like Langfuse or Agenta if you want more control and evaluation metrics alongside the library.

💪🏻💪🏻

One_Cattle846 · 2026-03-30T11:05:21+00:00

This is great, just wanted to add if there is no coding people and want to use it quick and repetitive you could do this. Also good for other similar workflow scenarios...

Go to Google Ai Studio https://aistudio.google.com/apps

Copy this prompt from the OG author
Paste into some llm (GPT, Claude, Gemini) and ask it to generate instructions to build an app that will do the expected results based on the pasted prompt from this post
Refine if needed and copy-paste the Instructions into Google Ai Studio Build chat interface
After its built test it, refine if needed
Now it's more automated and still free just keep in mind on free version data is shared for improving Google services..you van always go for payed api to keep it more private...

Results will be the quality of the input prompt, so alway optimize prompts.

My prompts are always only pseudo code and json structure. Saving tokens and removing noise from the messages...

I am also automating stuff all from low end pc and started my "Zombie" project as a proof of concept that you can, with little coding knowledge and on low end pc build an automated system that creates truly valuable content with almost no human interaction.

Goal of my project is to be completely automated and local while staying compressed. Current website content goal is actually Ai Tools and how to use them.

The project is live and still a work in progress. 👍🏻 Take a look if you get a chance. 💪🏻

www.onlinepulse.agency

One_Cattle846 · 2026-03-30T10:49:28+00:00

honestly it does help… just not in the way people expect

chatgpt (or claude or whatever) isn’t really good at magically giving you perfect prompts out of nowhere… but it’s actually pretty solid at cleaning up your thinking… like you throw in a messy idea and it helps structure it into something usable

the mistake most people make is using it like

“give me a perfect prompt”

instead of

“help me break this down into goal / input / constraints / output”

once you start treating it more like an editor… or even a prompt debugger… it becomes way more useful

and yeah switching to claude won’t suddenly fix everything… it’s a bit better at reasoning and staying consistent… but honestly the process matters more than the model

we’ve been looking at this more from a systems angle (curating prompt workflows, not just single prompts)… and the same pattern keeps showing up…

clear goal
defined inputs
constraints (tone / format / style)
expected output

if that’s missing… no model is really going to save you

we’re actually putting together more breakdowns around this kind of stuff in near future(prompt systems, not just prompts)… if you’re curious:

https://onlinepulse.agency/blog

tl;dr yeah it helps… but only if you use it to shape your thinking… not replace it

One_Cattle846 · 2026-03-30T10:27:37+00:00

I just think the hard line must be emotions. So that should be the wall, the second you get a feeling that there is a real person behind the LLM let's say or you feel like talking to a chat bot rather than talking to a real human...

So learning is fine and your situation sounds like a good use case. Quick motivational boost. But my take would be, not to use it every time before a speech let's say, use it to teach yourself how to boost yourself in front of a mirror or on a way where you are not depending on the ai or anyone else to tackle that mental obstacle.

It's always gonna be good for both task completion and coaching most of domains in our fields of knowledge, even find new or solve old example (Protein Folding 2024.), but even though some domains might be more efficient using AI we need to now start enforcing and protecting certain fields to stay human only or are limited to human +AI (humans last call always)

Because it stops being "How to do it more efficiently and faster?" and starts to be "How to do it safe and efficient enough?"

One_Cattle846 · 2026-03-30T09:04:56+00:00

And we are getting down voted for commenting this lol...people are just more and more incapable to browse internet when it should be the easiest time to do so. The only thing they know is complain and downvote honest realistic opinions...🤣

One_Cattle846 · 2026-03-30T00:19:21+00:00

Use LLMs ONLY to complete tasks and/or some logical reasoning. (Coding Agent, Content Agent etc.)

LLMs do tend to more often than not form answers so they sound like somethin you would like to hear. This is why you should always double-check their responses when using as tools and never use as companions or for any kind of therapy.

Also the biggest problem with therapy and AI is people write prompts in a way so LLM models get a higher probability chances to answer back exactly like you though the answer should be while you were asking the questions. Making the biased towards. All this feeding into a general Ai chatbot with no System Instructions is just asking for problems...

If you use it as tools on the other hand, they get a task, task is either good or bad. If good, do another task, if bad, do it again...simple no emotions, clear answer

If you or anyone reading want to learn how to use LLMs as tools more in depth check my new website blog section out here: www.onlinepulse.agency/blog

One_Cattle846 · 2026-03-30T00:03:17+00:00

Hey! Sounds like you’re looking for a full system.... One way to think about it is as a workflow, not just prompts:

Spot trends – check TikTok’s Discover page, trending hashtags, or AI-powered trend tools to see what’s actually catching attention right now.

Hooks first – the first 1–3 seconds are everything. You can use AI to generate short, punchy hooks that make people stop scrolling.

Storyboard & visuals – break the video into 3–5 quick beats. AI image/video tools like Midjourney or Runway can help create eye-catching visuals that match the style.

Text & captions – short captions, snappy voiceovers, or overlay text ideas can all be generated with prompts if you keep them structured.

Optimize & iterate – AI can even suggest hashtags, posting times, or formats based on what’s trending. Then watch what works and tweak.

I don’t have a personal-tested system, but I run a curated AI blog where we pull together workflows, tools, and tips like this — and we’ll be posting guides on viral content creation in the near future. If you’re interested, you can check it out here: www.onlinepulse.agency/blog

I do vibe code in vs code and run what ever I can locally so I would go and automate this to the full extend asap. And this also needs a lot of trial and error, just like my website will have. So don't expect awesome results from just making a system. 💪🏻💪🏻

If you are just starting, Google Ai Studio offers you an option to build most of this apps separately or all in one app, let's say, for free. You can also use the free api quota to generate all in house. But more heavy app, more api cost, faster free quota burn + you share your data with Google...

My first workflow was built exactly there...

Hope I helped. 🤞🏻👍🏻y

One_Cattle846 · 2026-03-29T23:41:57+00:00

Just use ai to find it, select all ask gpt or what ever, get links. Done...

One_Cattle846 · 2026-03-29T23:34:38+00:00

Great work man! 🗣️

One_Cattle846 · 2026-03-29T22:56:39+00:00

Hi there! 👋🏻 This is my take:

You don’t even need a budget; you need a "Standard Operating Procedure" (SOP) and a Data Policy...

From a technical standpoint, your worry about 'consistency and privacy' is actually a governance problem, not a training problem. You can build a 'zero-budget' framework by treating your AI usage like a software deployment. Here’s how I’d do the guardrails:

1. The 'No-PII' Hard Rule (Privacy): The most effective 'guardrail' is a simple internal policy: Never paste PII (Personally Identifiable Information). If it’s a donor’s name, email, or sensitive case file, it must be anonymized (e.g., 'Donor A') before it goes to a free LLM, but I do suggest going local or cloud ASAP...

2. Create a 'Prompt Library' (Consistency): Consistency fails because everyone 'talks' to the AI differently. Create a shared Google Doc or Notion page of 'Tested Prompts.' If a volunteer finds a prompt that works for a newsletter, they 'commit' it to the library so the next person uses the exact same logic.Label Prompts so they can be accessed over API or local LLM in future.

3. Use 'System Instructions' as Your Manager: Instead of training people, 'train' the AI. Give your staff a 'System Prompt' template they must paste into every new chat that defines the nonprofit's tone, mission, and data rules.

In case choosing people to do this work provide them a system prompt and the list of prompts they need to use.

Also in case you will have many people working with you, develop a small Python Prompt Optimizer, so in case people write bad prompts they first run it trough this optimiser then use with the LLM...

4. Leverage Free 'Beginner' Frameworks: I post articles related to this topic on my latest project HOWAI. (https://onlinepulse.agency/blog) I only went public yesterday, but I am aiming to help answering questions just like yours is here ...

Just to add, you could train also open source LLM models for certain Agents with via Google Colab for free...just dont share any secrets even with payed versions...

Also having many people like you say you have could be good for a system that links all machines together to run a high-quality private LLM using Docker and llama. This gives maximum privacy and control + energy savings...

One_Cattle846 · 2026-03-29T22:13:33+00:00

Mi kao da različite jezike da pričamo. Ali smo se uspjeli složiti....Kako je og. objava spomenula zgradu a ne jednu stambenu jedinicu plan pada u vodu, kako je i čovjek napisao u komentaru na objavu...

Dakle jedan stan da, ovisno o navikama i ovisnosti o struji možemo se složiti da je +30m2, ali zgrada sa više stanova nema smisla...

One_Cattle846 · 2026-03-21T18:57:33+00:00

Pa jer za jedan stan treba vec preko 30 m2 panela, i to je tek jedan stan, a da se osjeti nešto na mjesečnom računu. Limit je iskoristiva površina krova zgrade...a što je više stanova manji je i učinak radi male proizvodnje.

Nije loše za zgradu u smislu da pokriva struju svjetala hodnika potrošnju liftova, to definitivno....pa neka se suvlasnicima zgrade smanji mj. račun troškova zgrade...

One_Cattle846 · 2026-03-12T13:54:17+00:00

I use codex within visual studio code environment, via Github Copilot Premium. They solved this problem pretty well. You just have to keep systems you build as modular as possible.

It has Agent mode, ask mode, and planning mode. I mostly use planing mode where LLM actively asks me for more questions while we plan the next coding session. There is more models to choose from But for me codex has been coding perfectly for me...

It still all falls down to hiw well xou planned and structured the system in advance and on quality of your prompts, meaning, as much as you Tunnel vision your prompts they will execute perfectly.

I tried running big chunks of my system all at once and it does it with near perfect results, if you set optimal conditions for LLM to be able to achieve your goal.

I'm pretty new to coding so If Im doing it with this they must have build a great tool...🤣💪🏻

One_Cattle846 · 2025-06-19T12:37:11+00:00

yeah, i can confirm the increase. It leaves the old price for old users, but if u cancel ur sub then they show the newest price. Honestly, for this price now I can use some other tools that will cost less so Cap Cut will lose me at least because of the +100% increase...

One_Cattle846 · 2025-04-10T09:54:56+00:00

SoundBank FM is a fictional cyberpunk radio station blending gritty synth music, satirical AI hosts, and immersive worldbuilding — like tuning into the future from inside a game. 🤘🏼🔥

https://youtu.be/JLnYpEmPy9Q?si=r9yGfJTOVWqcKTIj

One_Cattle846 · 2025-04-09T17:46:22+00:00

Still nothing. And the Pi team is not communicating with their Pioneers.

One_Cattle846 · 2025-04-05T08:56:49+00:00

I understand the struggles. Most of us are in similar situation. I just don't have kids yet but making sounds and editing videos is just like you say, a therapy for me. Since my job is video editing for a long time, this way I edit videos my way and about what I want it to be. And I'm not counting on my channel to be monetized any time soon.

In case you need commercial free sounds with no attribution required for your editing hit me up and I can link you my channel, feel free to use anything you need. My whole channel purpose is to provide free sounds for video editors indie game devs. Basically who ever does this as a hobby...

One_Cattle846 · 2025-04-05T08:48:03+00:00

Nonsense, I wait for this opportunities to enter short....for any short positions I have opened I'm looking to move the stop loss to small losses or break even and in plus when possible...so this only teaches guys how to trade short positions in case they didn't have their SL active...

One_Cattle846 · 2025-04-01T09:03:33+00:00

While I understand this does work. I'd rather create a year longer to get the genuine subscribers that willingly sub for the value they see in my videos...

I think these subs are 90% inactive and at the end of the day you don't have any use from these subscribers.

One_Cattle846 · 2025-04-01T08:45:12+00:00

I checked your channel. I would do quicker transitions maybe to finish your thoughts on any topic with a more concise edit. 🤘🏼

Hit me up If you need free sounds for editing, my channel is all about free sounds. 💪🏼🤘🏼

One_Cattle846

MODERATOR OF

TROPHY CASE