2025-11-01 SS5.org Most Relevant Omnilow Webpages Part 3
Below are copies of the most relevant posts/pages about Omnilow. They are the versions of those posts/pages as of now (2025-11-01). Refer to the other parts as separate posts posted on this subreddit around the same time.
Refer to the SS5.org webpages for the latest versions. I mainly just copied and pasted those webpages below so there is a lot of bad formatting but the writing itself should be near identical.
SS5.org/2025/08/08/Omnilow-LLM-Prompt
SS5.org/2025/08/08/Omnilow-LLM-Prompt
Omnilow LLM Prompt
Categories: More Relevant (Omnilow)
TL;DR
Use one of the buttons below to copy that prompt, then paste it into the LLM (large language model) of your choice. After that, just watch it do its magic. Based on previous testing, ChatGPT (GPT-5 or better) is the most effective LLM to use.
Full Personal Investment Portfolio Prompt
If the LLM you're using says the prompt is too long, try using one of the buttons below for shorter versions of those prompts.
Short Personal Investment Portfolio Prompt
Everything else in this post is non-essential. You can just use one of the buttons above to copy and paste one of those prompts into an adequate LLM.
I'd suggest trying one before reading the rest of this post. You don't even need an account. You could just copy and paste one of those shorter prompts into Grok at Grok.com or ChatGPT at ChatGPT.com among other free LLMs.
Table Of Contents
About
Omnilow is the algorithmic language that is as versatile as natural language. Omnilow is far less ambiguous while still being nearly as efficient (sometimes more) and very easy to learn. Omnilow would always be more efficient for any properly trained LLM. (An LLM is basically an AI for natural language.)
Any of those prompts instruct the LLM how to write and read/understand Omnilow so you or another LLM/agent can send Omnilow inputs and/or get Omnilow outputs.
With just one copy & paste of my silly prompt (that could use major improvements), any mainstream LLM becomes one of the most capable minds in the world at understanding and using the Omnilow algorithmic language. That's with zero formal training on Omnilow. It's far from perfect, but I think it's very impressive how well an LLM can read and write Omnilow from just that one prompt.
That's not a measure of the LLM's intelligence. That's definitely not a measure of my intelligence or the quality of the prompt. It's a measure of how great Omnilow is as a simple but powerful algorithmic language. It's a measure of how intuitive Omnilow is for an LLM that is already good at natural language.
These prompts are a proof of concept for how easy it would be for LLMs to learn Omnilow, and how it would increase accuracy and efficiency on backend and/or front-end operations for LLMs.
Here is the main description for Omnilow. Here's my AI With Omnilow post that discusses use cases where Omnilow would be the most effective language for AI to human and/or AI to AI communication and for an AI to use internally.
LLMs are practically begging to use Omnilow at least among themselves. There are frameworks/protocols for AI to AI communication, but those frameworks/protocols still encode actual meaning inside natural language. That's like using a hammer without a head. Natural language is naturally very ambiguous. It's great for a human to use to quickly type out/say information, but it's usually illogical for AIs to use natural language over Omnilow if a human isn't going to be reading it anyway. But, when a human does read Omnilow, it's also intuitive to learn and understand.
If LLM companies trained their LLM on Omnilow (which would be easy for them to do), I'm confident that their LLM would understand and write Omnilow with more accuracy and less computation when compared to natural language. Even for frontier models, processing natural language requires more computation than processing an algorithmic language.
SS5.org/Sam-Omnilow is my dedicated page promoting myself for championing and enabling Omnilow solutions for LLM companies. If that's at all relevant to you, I'd appreciate it if you'd check it out.
On 2025-8-8, I tested the following LLM models with that prompt (via their APIs) for outputting Omnilow algorithms and gave each a rating for the quality of their Omnilow. I give a 5.6 out of 10 to ChatGPT 5 (specifically ChatGPT 5 Thinking). I give a 5.1 to Opus 4.1. I give a 4.8 out of 10 to Gemini 2.5 Pro. I give a 4.2 out of 10 to Grok 4. (If any of those LLMs received any formal training for reading and writing Omnilow, its score would have been exponentially higher.)
You don't have to pay a subscription to try the prompt with those models. You can use those models APIs through OpenRouter Chatroom to pay per message. (With the exception of Opus 4.1 which is many times more expensive than the others, each costs well under $0.20 per message even with a full prompt and OpenRouter's fees.)
All-Purpose Prompt
Click either of the buttons below to copy the All-Purpose prompt to your clipboard, then paste it into a chat message. It's all just plain text.
These All-Purpose prompts are the same as the Personal Investment Portfolio prompts except they don't give the LLM an initial task. After sending the prompt, LLM should ask how it can help. You could have the LLM create or modify an Omnilow algorithm, read or run an Omnilow algorithm you have, or help you write and understand Omnilow. Running an Omnilow algorithm might include assigning specific amounts/qualities to variables in the algorithm and then getting an output, or having the LLM give a function chart for the algorithm based on the undefined variables (like using a graphing calculator does to create a function plot/graph).
Unless you specifically want to apply the prompt to an existing chat, send it as a message in a new chat. The Short version is the same as the Full version except with less supplemental information in order to be within ChatGPT's message limit for free users (which I used as a baseline).
If the button doesn't work, you can manually select and copy the Full or Short version below.
Full Version
Short Version
Personal Investment Portfolio Prompt
Click either of the buttons below to copy the Personal Investment Portfolio prompt to your clipboard, then paste it into a chat message. It's all just plain text. After that, just watch it do its magic.
These Personal Investment Portfolio prompts are the same as the All-Purpose prompts, except the LLM is given the task of creating an algorithm right off the bat instead of asking how it can help. It is given a prompt to create a one year plan/system for you to use to manage your personal finances, invest residual income, and manage your investments. That plan/system is intended to be able to be used for the year so you wouldn't have to make any investment decisions outside the algorithm in the heat of the moment, and can instead just follow that plan. (Many great investors advise following a system to make less day to day investing decisions and to not get swayed by your emotions that come and go.)
These investment prompts are intended to act as another example of what Omnilow can do that natural language, computer language, and traditional algorithmic language all struggle at. Unless you specifically want to apply the prompt to an existing chat, send it as a message in a new chat. The Short version is the same as the Full version except with less supplemental information in order to be within ChatGPT's message limit for free users (which I used as a baseline).
Full Personal Investment Portfolio Prompt
Short Personal Investment Portfolio Prompt
If the button doesn't work, you can manually select and copy the Full or Short version below.
Full Version
Short Version
Additional Information
The LLM should output its Omnilow in a code block that can be copied and pasted into Notepad++ or another app effective at reading/writing Omnilow. Many LLMs allow for parenthetical highlighting, so that could be used instead if you don't want to use such an app.
Because no LLM has yet been formally trained on using Omnilow (as of writing this) and the computation done for one response is limited, the outputted Omnilow algorithm will often be suboptimal and sometimes straight up wrong. You can keep replying "bad-omnilow" for the LLM to try to improve its prior outputted algorithm. In theory, the outputted algorithm would become better and better as it keeps trying to improve the same algorithm, but that's sometimes not the case in practice.
If possible, I'd recommend using a slower and more intelligent model. For instance, I'd recommend a Deep Research in ChatGPT, but standard fast models still work well enough.
I, Samuel Sauer, created this post and every prompt in this post. Omnilow is also often great for human to human communication for complex matters and Omnilow is especially useful for backend LLM operations that humans don't even see, but that's beyond the scope of this post. Feel free to leave a comment or contact me about your results from using the prompt and any other thoughts you have about Omnilow being used in AI.
Those two Full versions are nearly identical except for the investing one being given the task of creating an algorithm right off the bat instead of asking how it can help, and the same applies for those Short versions. However, the Full and Short versions have some big differences between them.
SS5.org/Sam-Omnilow is my dedicated page promoting myself for championing and enabling Omnilow solutions for LLM companies. If that's at all relevant to you, I'd appreciate it if you'd check it out.
I made those prompts to act as a sort of pre-MVP (minimum viable product). AKA, my LOL (Limited Operational Launch) for an Omnilow AI. I hope you like my Omnilow AI LOL!
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2025-08-08Omnilow LLM Prompt
Categories: More Relevant (Omnilow)
TL;DR
Use one of the buttons below to copy that prompt, then paste it into the LLM (large language model) of your choice. After that, just watch it do its magic. Based on previous testing, ChatGPT (GPT-5 or better) is the most effective LLM to use.
Full Personal Investment Portfolio Prompt
Full All-Purpose Prompt
If the LLM you're using says the prompt is too long, try using one of the buttons below for shorter versions of those prompts.
Short Personal Investment Portfolio Prompt
Short All-Purpose Prompt
Everything else in this post is non-essential. You can just use one of the buttons above to copy and paste one of those prompts into an adequate LLM.
I'd suggest trying one before reading the rest of this post. You don't even need an account. You could just copy and paste one of those shorter prompts into Grok at Grok.com or ChatGPT at ChatGPT.com among other free LLMs.
Table Of Contents
TL;DR
About
All-Purpose Prompt
Personal Investment Portfolio Prompt
Additional Information
Share:
About
Omnilow is the algorithmic language that is as versatile as natural language. Omnilow is far less ambiguous while still being nearly as efficient (sometimes more) and very easy to learn. Omnilow would always be more efficient for any properly trained LLM. (An LLM is basically an AI for natural language.)
Any of those prompts instruct the LLM how to write and read/understand Omnilow so you or another LLM/agent can send Omnilow inputs and/or get Omnilow outputs.
With just one copy & paste of my silly prompt (that could use major improvements), any mainstream LLM becomes one of the most capable minds in the world at understanding and using the Omnilow algorithmic language. That's with zero formal training on Omnilow. It's far from perfect, but I think it's very impressive how well an LLM can read and write Omnilow from just that one prompt.
That's not a measure of the LLM's intelligence. That's definitely not a measure of my intelligence or the quality of the prompt. It's a measure of how great Omnilow is as a simple but powerful algorithmic language. It's a measure of how intuitive Omnilow is for an LLM that is already good at natural language.
These prompts are a proof of concept for how easy it would be for LLMs to learn Omnilow, and how it would increase accuracy and efficiency on backend and/or front-end operations for LLMs.
Here is the main description for Omnilow. Here's my AI With Omnilow post that discusses use cases where Omnilow would be the most effective language for AI to human and/or AI to AI communication and for an AI to use internally.
LLMs are practically begging to use Omnilow at least among themselves. There are frameworks/protocols for AI to AI communication, but those frameworks/protocols still encode actual meaning inside natural language. That's like using a hammer without a head. Natural language is naturally very ambiguous. It's great for a human to use to quickly type out/say information, but it's usually illogical for AIs to use natural language over Omnilow if a human isn't going to be reading it anyway. But, when a human does read Omnilow, it's also intuitive to learn and understand.
If LLM companies trained their LLM on Omnilow (which would be easy for them to do), I'm confident that their LLM would understand and write Omnilow with more accuracy and less computation when compared to natural language. Even for frontier models, processing natural language requires more computation than processing an algorithmic language.
SS5.org/Sam-Omnilow is my dedicated page promoting myself for championing and enabling Omnilow solutions for LLM companies. If that's at all relevant to you, I'd appreciate it if you'd check it out.
On 2025-8-8, I tested the following LLM models with that prompt (via their APIs) for outputting Omnilow algorithms and gave each a rating for the quality of their Omnilow. I give a 5.6 out of 10 to ChatGPT 5 (specifically ChatGPT 5 Thinking). I give a 5.1 to Opus 4.1. I give a 4.8 out of 10 to Gemini 2.5 Pro. I give a 4.2 out of 10 to Grok 4. (If any of those LLMs received any formal training for reading and writing Omnilow, its score would have been exponentially higher.)
You don't have to pay a subscription to try the prompt with those models. You can use those models APIs through OpenRouter Chatroom to pay per message. (With the exception of Opus 4.1 which is many times more expensive than the others, each costs well under $0.20 per message even with a full prompt and OpenRouter's fees.)
All-Purpose Prompt
Click either of the buttons below to copy the All-Purpose prompt to your clipboard, then paste it into a chat message. It's all just plain text.
These All-Purpose prompts are the same as the Personal Investment Portfolio prompts except they don't give the LLM an initial task. After sending the prompt, LLM should ask how it can help. You could have the LLM create or modify an Omnilow algorithm, read or run an Omnilow algorithm you have, or help you write and understand Omnilow. Running an Omnilow algorithm might include assigning specific amounts/qualities to variables in the algorithm and then getting an output, or having the LLM give a function chart for the algorithm based on the undefined variables (like using a graphing calculator does to create a function plot/graph).
Unless you specifically want to apply the prompt to an existing chat, send it as a message in a new chat. The Short version is the same as the Full version except with less supplemental information in order to be within ChatGPT's message limit for free users (which I used as a baseline).
Full All-Purpose Prompt
Short All-Purpose Prompt
If the button doesn't work, you can manually select and copy the Full or Short version below.
Full Version
Short Version
Personal Investment Portfolio Prompt
Click either of the buttons below to copy the Personal Investment Portfolio prompt to your clipboard, then paste it into a chat message. It's all just plain text. After that, just watch it do its magic.
These Personal Investment Portfolio prompts are the same as the All-Purpose prompts, except the LLM is given the task of creating an algorithm right off the bat instead of asking how it can help. It is given a prompt to create a one year plan/system for you to use to manage your personal finances, invest residual income, and manage your investments. That plan/system is intended to be able to be used for the year so you wouldn't have to make any investment decisions outside the algorithm in the heat of the moment, and can instead just follow that plan. (Many great investors advise following a system to make less day to day investing decisions and to not get swayed by your emotions that come and go.)
These investment prompts are intended to act as another example of what Omnilow can do that natural language, computer language, and traditional algorithmic language all struggle at. Unless you specifically want to apply the prompt to an existing chat, send it as a message in a new chat. The Short version is the same as the Full version except with less supplemental information in order to be within ChatGPT's message limit for free users (which I used as a baseline).
Full Personal Investment Portfolio Prompt
Short Personal Investment Portfolio Prompt
If the button doesn't work, you can manually select and copy the Full or Short version below.
Full Version
Short Version
Additional Information
The LLM should output its Omnilow in a code block that can be copied and pasted into Notepad++ or another app effective at reading/writing Omnilow. Many LLMs allow for parenthetical highlighting, so that could be used instead if you don't want to use such an app.
Because no LLM has yet been formally trained on using Omnilow (as of writing this) and the computation done for one response is limited, the outputted Omnilow algorithm will often be suboptimal and sometimes straight up wrong. You can keep replying "bad-omnilow" for the LLM to try to improve its prior outputted algorithm. In theory, the outputted algorithm would become better and better as it keeps trying to improve the same algorithm, but that's sometimes not the case in practice.
If possible, I'd recommend using a slower and more intelligent model. For instance, I'd recommend a Deep Research in ChatGPT, but standard fast models still work well enough.
I, Samuel Sauer, created this post and every prompt in this post. Omnilow is also often great for human to human communication for complex matters and Omnilow is especially useful for backend LLM operations that humans don't even see, but that's beyond the scope of this post. Feel free to leave a comment or contact me about your results from using the prompt and any other thoughts you have about Omnilow being used in AI.
Those two Full versions are nearly identical except for the investing one being given the task of creating an algorithm right off the bat instead of asking how it can help, and the same applies for those Short versions. However, the Full and Short versions have some big differences between them.
SS5.org/Sam-Omnilow is my dedicated page promoting myself for championing and enabling Omnilow solutions for LLM companies. If that's at all relevant to you, I'd appreciate it if you'd check it out.
I made those prompts to act as a sort of pre-MVP (minimum viable product). AKA, my LOL (Limited Operational Launch) for an Omnilow AI. I hope you like my Omnilow AI LOL!
Supplement
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Posted:
2025-08-08
Last Modified:
2025-08-08
Posted Nov 2, 2025, 12:02 AM UTC