How We.Inc Picks the Right AI Model for Every Task

Not every request needs the most powerful model. Here's how our intelligent routing system picks the right Claude model for every task.

Related: How the We.Inc AI website builder works, with real sites it built

Every AI request is different. A one-word color tweak and a full multi-page app do not need the same firepower. So instead of sending every message to the same model, We.Inc routes each task to the right AI model for the job.

Here's why, and how it works.

The Problem with One-Size-Fits-All

If you send every request to the single most powerful model, two things go wrong:

  1. Speed - heavy models are slower, so simple edits feel sluggish
  2. Cost - you burn premium capacity on work that a lighter model handles perfectly

Match the model to the task, and you get fast responses on the easy stuff and deep reasoning on the hard stuff.

The Architecture

Our system has three layers:

Layer 1: Task Classification

When you send a message, a lightweight classifier categorizes it in under 200ms:

For unambiguous prompts, we skip the classifier entirely and use heuristics: pattern matching on keywords and message length. This saves a round-trip for ~60% of messages.

Layer 2: Model Selection

Based on the task complexity, we route to the right Claude tier:

Task TypeModel tierWhy
Questions, simple editsFastSub-second, low cost, good enough
Standard pages, componentsBalancedBest balance of speed and quality
Complex architecture, multi-fileMost capableDeepest reasoning, worth the cost

Pro plan users get access to all three tiers. Starter users get the fast and balanced tiers.

Layer 3: Automatic Retries

If a generation fails (timeout, rate limit, transient error), We.Inc automatically retries so the request still completes.

The user never sees an error. A retry adds 1-2 seconds of latency, but the generation finishes successfully. In practice, retries trigger only a small fraction of the time: rare enough not to affect quality, frequent enough to matter for reliability.

The Credit System

Different model tiers cost different amounts. Instead of per-message pricing, we use credits:

The free plan has no AI credits: it lets you build up to 3 sites from templates and publish them free on a we.inc address. AI building and editing start on Starter at $20/mo (250 credits).

Quality Verification

After every generation, we run a verification loop:

  1. Accessibility - WCAG compliance, alt text, keyboard navigation
  2. Visual rendering - does the page actually render correctly?
  3. Security - no XSS vulnerabilities, no exposed secrets
  4. Performance - image optimization, bundle size, load time

If verification fails, the system automatically attempts a fix before showing you the result. You only see the final, working output.

Why This Matters

Most users don't care which AI model generates their website. But they care about:

The routing system makes all of this invisible. You just type what you want and get a great result. That's the point.

Try it yourself →

Frequently asked questions

Which AI does We.Inc use?

We.Inc is powered by advanced AI models, with fast, balanced, and most-capable tiers for different kinds of work.

Can I choose which model to use?

Pro plan users can select model tiers (Core, Pro, Apex). The system also auto-routes based on task complexity.

We.Inc is an AI-powered website builder you can resell under your own brand. Launch a branded client dashboard, bill on Stripe Connect, and deliver AI-generated websites in minutes. White-label plans start at $99 a month for 25 client sites, with a 7-day free trial and no per-site fees.

Product

Who It's For

Features

Resources

Company

View Sitemap