Features
A conversational path from a promising idea to evidence from the market.
MCP-native workflow
Connect idelot to ChatGPT, Claude, or another compatible AI client. Idea exploration, assumption mapping, experiment design, creation, publishing, and review all happen in the same conversation.
Validation projects
Create a project around one idea and its riskiest assumption. The project keeps the published experience, interested participants, and results tied to the reasoning that led to the experiment.
Hosted experiences
Publish a focused, interactive web experience without setting up hosting. Each experience receives a public URL in the following format:
https://idelot.net/lp/{slug}You control the HTML, so the page can communicate the promise, collect input, present a simulated or manually delivered outcome, and ask for a meaningful next step.
Participants
Capture people who choose to continue after experiencing the idea. View their email signups, follow up for qualitative learning, and export the list as CSV.
Behavior signals
Compare visits, signups, and conversion rate to see where interest becomes action. Treat the numbers as signals to investigate, not proof in isolation.
Conversational iteration
Return to the AI conversation with the results and revise the experience while its original context is still available. Change the promise, interaction, audience, or commitment and publish the next experiment quickly.