Welcome to NEXUS PRIME — and why we're building it

You already use AI every day. You open ChatGPT for a first draft. You flip to Claude for a second opinion. Gemini for the image. Perplexity for the research. Then you copy-paste the output into Notion, or Google Docs, or your inbox, or a spreadsheet — depending on what you're trying to finish.

That's not AI transforming your work. That's you doing integration work so AI can help.

NEXUS PRIME is a bet that the next step isn't "a better model." It's orchestration.

What NEXUS PRIME actually is

NEXUS PRIME is a commercial AI orchestration platform. One command center. 100+ specialist AI agents. Six major model providers (OpenAI, Anthropic, Google, Mistral, Groq, xAI), plus our own Ollama-hosted open models.

You give NEXUS a directive. NEXUS — the orchestrator — reads the directive, assembles the right team of specialist agents (a researcher, a strategist, a writer, a coder, a reviewer, whatever the job needs), routes subtasks to the right models, checkpoints the work, and returns the finished output.

You don't juggle ten tabs. You describe the outcome. NEXUS runs the whole system.

Why "100 agents" isn't marketing fluff

Here's the part that matters: these aren't 100 instances of the same chatbot. They're 100 specialists. A compliance analyst reads like a lawyer. A copywriter writes like a copywriter. A security reviewer thinks like a red-teamer. A project manager coordinates and holds the timeline.

Each specialist has:

When you need a team, you don't want 100 interchangeable generalists. You want 100 specialists who know their lane and defer to each other when the lane changes.

The shape of the product

We're launching with three tiers:

Every tier uses the same orchestrator. What changes is concurrency, access to our owned compute, and how far the agent fleet can scale.

What this blog is for

Three things:

  1. Writing on multi-agent systems. The field is young and the lore is thin. We'll publish what we learn — orchestration patterns that work, patterns that look elegant but fail under load, and the surprising failure modes that only appear at 20+ concurrent agents.
  2. Build-in-public progress. What's shipped, what's broken, what's next. No stage-managed milestones — the real build log.
  3. The bigger question. When one system can orchestrate specialist work end-to-end, what does "a job" mean? What does "a business" mean? We have opinions. We'll share them.

The invitation

We're in waitlist mode. The first wave of pre-orders gets 50% off year one on Power or God Mode. One confirmation email when you sign up. No marketing barrage, no drip campaigns. We'll ping you when pre-orders open. That's it.

If you've been thinking "there has to be a better way to use AI than switching tabs all day" — this is us building that better way. Join us.


Next post: "The 100-agent problem" — why most multi-agent systems fall apart past 10 concurrent agents, and what we do differently.

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