I work with LLM (large-language-model) companies to sharply reduce hallucinations and costs by using Omnilow instead of or along with natural-language payloads in the backend.
Omnilow is the algorithmic language that is as versatile as natural language for AI LLMs.
Omnilow can express hyper-complex reasoning (such as comparing which stocks appear most undervalued) in a compact and unambiguous form that natural language or code would turn into pages of confusion.
As Omnilow’s creator, I’m its foremost expert.
Omnilow is the next language upgrade for artificial intelligence.
Computer Language → Natural Language → Omnilow
Omnilow removes the ambiguity that slows an LLM’s backend pipelines and agent-to-agent exchanges all with hardly any learning curve.
My name is Samuel Sauer, and I upgrade LMs' capability by upgrading its language. I work with LM (language-model) companies to teach their LMs to read and write Omnilow, embed Omnilow in backend workflows, and enable Omnilow-based LM-to-LM communication. Omnilow slots into any agent or data protocol, replacing only the ambiguous natural language payload.
In other words, I am a champion of Omnilow-enabled LMs (with a focus on LLMs). Please don't hesitate to get in touch if you or your organization could use my assistance.
If your company runs an LM and wants to explore how Omnilow can boost accuracy and efficiency, contact me. If it’s a fit, I’ll work to integrate Omnilow-based solutions.
Omnilow is far less ambiguous than natural language yet more efficient and very easy to learn.
Contact Me
Email me at Sam@SamSauer.org, send me a DM on LinkedIn, or use the form below.
Table Of Contents
Further Details
By "language model," I mean a natural language model, a computer program for processing natural language. Omnilow supports such models of any size but delivers its greatest benefits to large language models (LLMs).
Omnilow isn't just another tool; it's a precise language for post-training orchestration, multi-agent communication, context-preserving workflows, and more.
Relevant Links
Free LLM Omnilow Prompt
I'd recommend trying out that prompt first.
Copy and paste the all-purpose prompt or the personal investment portfolio prompt into the LLM of your choice for some useful analysis.
Any of those prompts superficially instructs the LLM how to write and read/understand Omnilow so you or another AI can send Omnilow inputs and/or get Omnilow outputs.
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 an LLM, processing natural language requires more computation than processing an algorithmic language.
Those 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.
Found the prompt useful? Contact me.
Main Description For Omnilow
Includes comprehensive explanation for all of Omnilow's rules. Omnilow is a fully finished algorithmic language.
Think Omnilow is interesting? Contact me.
AI With Omnilow
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. This page doesn't focus on LM to consumer (including consumer to LM) communication because I think it's more effective to first focus on marketing Omnilow for LM-to-LM communication. But, Omnilow would be ideal for LM to consumer and even human to human communication in the some situations.
Have a use case for Omnilow? Contact me.
Algorithmic Proof That You Should Rush
Is an example of what Omnilow can do that natural language, computer language, and traditional algorithmic language can't. That example doesn't involve any AI and was an Omnilow algorithm I made to analyze the elements of rushing that significantly increased my productivity.
Open minded to an alternative to natural language? Contact me.
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