ChainGPT

• ChainGPT provides AI tools built for crypto users, including a chatbot, smart contract generation and auditing, and news summarisation.

• It also operates a launchpad for new token projects.

• CGPT is used for access to tools and for launchpad participation.

• Supply allocated across community, ecosystem, team and investors.

• Staking CGPT grants access to tools and launchpad allocations.

Pros:

• Multiple shipped products rather than a single prospective one.

• Launchpad generates revenue independent of the AI tooling.

• Staking for access gives the token a concrete function.

Cons:

• AI-generated smart contract audits should not substitute for professional review, and marketing this capability carries real risk if users treat it as sufficient.

• General-purpose AI assistants compete with the chatbot for free.

• Launchpad revenue depends on new token issuance, which is cyclical.

• Exposure to crypto-specific AI tooling with several revenue lines.

• Staking-for-access is a functional token model.

• Weigh the risk of AI-generated audits being over-relied upon.

• AI tooling trained specifically on crypto contexts, combined with a launchpad that gives the token a second utility.

• General AI assistants handle crypto-specific questions and contract analysis poorly.

• Domain-specific tooling performs better, within limits that users need to understand.

• Founded by Ilan Rakhmanov.

• Development team operates publicly.

• A public sale was conducted in 2023 through launchpad platforms.

• AI-generated audits can miss vulnerabilities that professional review would catch.

• Free general-purpose assistants compete on the chatbot function.

• Launchpad revenue is cyclical with market conditions.

• Model provider costs are outside the company's control.