Stop Picking One AI Model, Do This Instead

[00:00:00]Anthropic owns 40% of enterprise AI right now. Open AAI has 27. Google has 21. That's Menllo Ventures asking 500 companies where their money actually goes. And here's why it's split three ways. No. AI is best at everything.

[00:00:19]Claude wins at code. Gemini wins most benchmarks. GPT wins research. So, if you picked one, you're leaving the other two on the table. I'm going to show you how people are using all [music] of them at once automatically. And you can set this up today. Hi, I'm Julia. I run First Movers. We build AI systems for founders and I read every single comment. Real quick, this one's sponsored by Abacus AI. I took it because their custom routters are the closest thing I've seen to building your own super intelligence. [music] Let me show you why. Here's the whole idea.

[00:01:03]Super intelligence is an assembly job.

[00:01:06]The parts already exist. Think about how you'd run a team. You've got a strategist, an engineer, a writer. You'd never hand the legal contract to the writer. The skill is knowing who gets what. AI works exactly like that. Now, every model is good at something different and it takes three moves to turn a pile of models into one brain.

[00:01:33]One, match the task to the model. Two, automate that so you never think about it again. Three, put it all behind one door so you just ask and the right brain answers. Abacus calls that third move a custom router. Let me just show you.

[00:01:52]Here's how you build one. There's a box that says, "Describe your ideal router in plain English." You type something like, "Hard problems, go to Fable," and hit generate. That's the whole setup. It writes the routing table for you. Hard problems, go to Claude Fable 5. Everyday coding goes to Claude Sonnet 4.6.

[00:02:19]Questions about how the codebase works go to Claude Haiku 4.5.

[00:02:26]Planning and root cause work back to Fable. Anything else falls to Sonnet.

[00:02:33]Five rules drafted in about 10 seconds and it leaves in two places at once. You can chat with it right here or grab an API key and call it from your own code.

[00:02:45]It speaks the same format as open AI's API. So if your app already talks to chat GPT, you point it at a new address and you're done. One line changes. Now watch it work. I ask it to audit a connected GitHub repo for security problems. See the little label routing to Claude Fable 5. the hard problem model. That's a real audit on a real repo in a chat window. Then a follow-up.

[00:03:15]Write me a script that checks any repo for these same holes. Different kind of task. So watch the label flip. Routing to claude sauna 4.6.

[00:03:27]Out comes a full Python script plus instructions on how to run it. Nobody picked a model. The router read both requests and made both calls. Last one.

[00:03:38]I ask for a plan to scale this app to a million users plus the root cause analysis on why it won't scale today.

[00:03:48]Back to Fable. It maps the exact bottlenecks. One database instance that chokes under load. Then it lays out the fix in phases. Database caching media background jobs resilience. That's a consultant deliverable. It took about a minute. So that was one router, three clawed models trading off a live security audit, a working script and a scaling plan. One chat window, zero switching. The router decides you just ask and the routing is the product.

[00:04:25]Abacus opened custom routers up to everyone. Build yours at abacus.ai.

[00:04:33]Pick your models, set your rules, and it runs itself from there. The coding router is one of a few. They've got them for the rest of your work, too. There's a cheap one for everyday stuff.

[00:04:47]Summaries, Q&A meeting notes. It sends those to small, fast models like Gemini Flash and Claude Haiku, so you quit paying frontier prices for intern work.

[00:04:59]There's a heavy one for the hard stuff.

[00:05:02]forecasting, deep analysis, premium creative, that one calls in GPT 5.6, Claude, Opus, Fable, and there's an open source one, Deepseek, KWEN, Kimmy, if you want to own your whole stack. Mix them however you want. Cheap models for volume, big models for the work that pays. Here's the twist most people miss. You can route by customer, too. big models for paying clients, cheap models for the free tier, different rules for support than for internal work. Your margin literally becomes a routing rule. Same team, same tools. The AI bill drops and the output gets better. Rules like that are what we build every week inside First Movers Labs. New systems, full walkthroughs, the prompts behind them. Code first mover saves you $50 a month at first movers.ai/labs.

[00:06:08]Now zoom out because the money here is wild. Enterprise AI spend tripled in a year 11 12 billion to 37 billion Menllo's numbers and the people spending it chase performance. Whichever model wins this month gets the work. That's the game. Now, which is your opening? A big company needs procurement and security reviews to do what you just watched in one chat window. You can set a router up this afternoon while your competitors argue about which subscription to buy. That's a first mover moment. The gap between people who assemble their AI and people waiting on one perfect model gets wider every quarter. Get on the assembling side. And if the thing you want to assemble is you, your face, your voice, your content engine, that's clone camp. Two days in Phoenix, we film you once and you fly home with your AI clone, a custom clawed brain, and 30 days of content. Six seats a cohort. First movers.ai/clone camp. If this saved you another month of model hopping, tell me in the comments which router you'd build first. I read everyone. See you down the next rabbit hole.