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Illusion AI

SuperCognit helps companies accelerate AI adoption: build, publish and monetize customer-facing and internal AI agents and MCP servers - no code required.

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Illusion AI homepage
supercognit.com · captured 2026-09-01

Our verdict

Illusion AI describes itself as SuperCognit helps companies accelerate AI adoption: build, publish and monetize customer-facing and internal AI agents and MCP servers - no code required. It offers a free trial. A public pricing page exists, though we could not parse individual plans from it. Developer documentation is published. A public changelog is maintained, which is a useful sign the product is actively worked on. Our score of 7.0 out of 10 comes from a desk review against the published rubric, recorded 2026-09-01.

Pricing

  • Free tierNo
  • Free trial14 days
  • Public price listYes

We do not republish prices we have not checked by hand, because automated price extraction proved unreliable enough to mislead. The vendor’s own page has the current figures. Why we do this

View pricing on supercognit.com

User reviews

No one has reviewed Illusion AI here yet. Reviews are moderated before they appear, and our own score is editorial and separate from user ratings, though once reviews land they do lift it.

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Illusion AI alternatives

Side by side

ToolOur scoreFrom Free tierBest for
Illusion AI this page 6 - -
🥇Bugasura 6.8 - Yes
🥈Spice AI 6.8 - Yes
🥉Airkit 6.2 - Yes
GPT Workspace 6.2 - Yes
HeyCloud 6.2 - Yes
Sourcegraph 6 - -

Questions

Is Illusion AI free?

There is no free tier, but Illusion AI offers a free trial.

How much does Illusion AI cost?

Illusion AI publishes pricing on its own site. We deliberately do not republish prices we have not verified by hand, because automated price extraction proved unreliable enough to mislead. Use the link on this page for current figures.

Does Illusion AI have an API or developer docs?

Yes, Illusion AI publishes developer documentation.

How is Illusion AI scored here?

Illusion AI scores 7.0 out of 10. That comes from a desk review of public evidence, which is capped at 8.5 out of 10: public pricing, documentation, maintenance signals and how much we could actually verify. Affiliate relationships are excluded from scoring entirely. The full rubric is published on our methodology page.

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