Your team gets an AI
that already knows
the job.

We are not a behemoth like Microsoft, but we do provide a co-pilot. Our chat is GPT (Generative Pre-trained Transformer), but we're not OpenAI. We have nothing in common with Grok.

We are SignalPoint Media Group LLC. A bespoke AI scaffolding builder. We have created a first-of-its-kind, human-first, human-in-the-middle, human augmentation protocol.

What does that mean? It means we have the same concerns about the impact of AI on job security as anyone who is not a soulless hobgoblin.

Artificial Intelligence is not going away. It's too big to fail. It is also a ridiculously effective tool when properly scaffolded.

A human with a properly scaffolded AI as their personalized collaborator delivers the best possible results for employers. A person with their own customized AI has greater value in the new BYOAI ecosystem. This shouldn't be controversial.

The problem as we see it:

Certain "entities" greatly benefit from concentrating every aspect of AI development under the control of a limited number of participants. Investing in the democratization of compute would limit the profitability of data centers and create significantly greater competition among models. Building toward a BYOAI ecosystem anchored by home-based servers with local capacity-sharing options would create an entirely different business model. A model like that would require redirecting the trillions in tax subsidies currently paid to a few unregulated "entities" into local communities to support their local infrastructure.

You get the point. If you would like to dig into our evolving plans to support legislative efforts to get this obvious alternative "on the books," please download our draft for the WorkForce AI Trust. If you like what you see, get in touch. We could use any assistance from like-minded people.

The problem with AI out of the box:

Large language models (LLMs) like Claude, ChatGPT, and Gemini are powerful. But every new conversation (chat) starts with limited context: no memory of your systems, your rules, or your infrastructure. Your team wastes time re-explaining critical details the AI should already know.

Optimizing an AI's ability to find previous chat content requires disciplined project management (chat siloing). In an ADHD world, that discipline is hard to sustain, which can significantly diminish the value that accrues as the AI learns over time. Multiply the lost context across teams, and this flaw becomes expensive.