Originality Checks

AutoPad AI is designed to create new concepts inspired by market narratives while avoiding obvious copies of existing projects.

What should be checked

Before a concept is approved for launch, AutoPad can check for similarity across project names, token tickers, logos, mascots, slogans, descriptions, visual identity, and established project branding.

Possible production checks

A future implementation may combine token databases, Solana on-chain token indexes, search APIs, image-similarity tools, trademark/brand checks where appropriate, and AI-based semantic similarity checks.

What happens if a conflict is detected?

If a concept appears too close to an existing project, AutoPad should flag the similarity, reject or revise the concept, and generate a more distinct alternative.

Important limitation

No automated originality system can guarantee that a concept does not conflict with another party's intellectual-property rights. Users remain responsible for reviewing what they launch.