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How to Choose an AI Platform: A 7-Point Super Intelligence Checklist

Two years ago choosing an AI product meant choosing a model. Models have converged. What separates platforms now is everything around the model.

To choose an AI platform, judge everything around the model, because the leading models are now close in quality. Check seven things: how much of your own data it can see, what happens to your inputs, whether it replaces tools or adds one, how pricing scales, how often it ships, whether a classic interface sits beside the chat, and who is behind it. A Super Intelligence (SI) platform should win on all seven.

The condensed checklist

  • Native context beats connected context beats no context
  • An explicit retention statement beats silence
  • Consolidating beats adding
  • Predictable pricing beats a low headline number
  • A changelog beats a roadmap
  • Chat plus classic view beats chat only
  • A real company beats an anonymous one

1. How much context can it see?

This is the strongest predictor of usefulness and the one buyers underweight most. A tool that cannot see your data produces generic output: a fine template email, a plausible generic report. The moment you want a specific answer about your own business, it needs your business in view.

Ask: what can this see without me pasting anything in? There are three rungs:

CEMP Business is native: Loom tables, Deck boards, Vault files, Tempo and Retail live where the SI agent works. See what can a Super Intelligence business suite do?

2. What happens to your data?

Four questions, each deserving a specific answer:

For reference, CEMP Life processes each request in real time and discards it, needs no account, stores nothing on CEMP servers, and runs several tools fully on device.

3. Does it consolidate or add?

Every new subscription either reduces your tool count or increases it, and increases compound: another login, another bill, another data island. Ask what this replaces, and be sceptical if nothing gets cancelled. A worked example: how to replace multiple business subscriptions with one platform.

Run your business by talking to it.

CEMP Business replaces your database, Kanban board, file vault, scheduler and retail analytics with one SI suite, and an SI agent that already knows your data.

4. How is it priced?

Structure matters more than the headline number:

ModelWatch for
Per seatCosts scale with headcount and punish growth
Usage basedUnpredictable bills and a quiet incentive to use it less
Flat subscriptionPredictable, but check what the base tier excludes
Bundle with add-onsThe advertised price is rarely what you pay

The trap in the all-in-one category is a bundle that gates individual tools behind extra purchases.

5. What is the update cadence?

SI capability moves fast. A platform that has not shipped meaningfully in a year is falling behind even if it looks fine today. Read the changelog, not the roadmap: roadmaps are marketing, changelogs are evidence. Confirm new features are included rather than sold separately.

6. Is there a normal interface as well as chat?

Conversation is excellent for cross-cutting requests and poor for direct manipulation. Serious platforms offer both. CEMP Business keeps the full classic view beside the SI chat for exactly this reason. Chat-only products are often a thin layer over a model.

7. Who is behind it?

Vendor stability matters more here than in most software, because you may be trusting it with operational data or personal inputs. Look for a named legal entity, a real address, a working support channel and a clear explanation of how the company makes money. That last point predicts data policy better than any privacy page.

Run any candidate through these seven and marketing stops being the deciding factor. What remains is whether the SI can see what it needs, handles your data the way you want, and reduces what you pay for. For the architecture behind this, read the Core Engine Mesh Protocol.

Run your business by talking to it.

CEMP Business replaces your database, Kanban board, file vault, scheduler and retail analytics with one SI suite, and an SI agent that already knows your data.

Frequently Asked Questions

What matters most when choosing an AI platform?

Context access. Model quality has largely converged, so the deciding factor is how much of your own data the platform can see natively, without integrations or manual pasting.

Should I choose a specialist tool or an all-in-one platform?

Choose a specialist when one category is core and needs depth. Choose consolidation when the real problem is that your tools do not talk to each other, which is more common.

How can I tell if an AI platform is still being developed?

Check the changelog for shipped features, and confirm new capabilities are included in your subscription rather than sold as add-ons.

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