TL;DR
Thorsten Meyer AI has introduced Delvasta, an early-access product for generating adaptive forms, quizzes, surveys and lead funnels from plain-language prompts. The company says the platform can create branching logic so respondents see only relevant questions, but availability, final features and behavior may change.
Thorsten Meyer AI has introduced Delvasta, an early-access platform that uses AI to generate forms, quizzes, surveys and lead funnels from written descriptions, a move aimed at reducing the manual work behind branching logic and data collection workflows.
According to the source material from Thorsten Meyer AI, Delvasta lets users describe the form or quiz they want and receive a working version with conditional paths. The company’s example describes a quiz that recommends a plan based on team size and needs, skipping questions that are not relevant to a respondent’s path.
The product is being presented as part of ThorstenMeyerAI.com’s “Built in Public” series, on Day 10 of a 19-day portfolio rollout. The source describes Delvasta as the newest productized bet in the operator portfolio and says it shares a provider-agnostic foundation with other products in the portfolio.
The company is also placing limits around the announcement. Thorsten Meyer AI says Delvasta is in early access, meaning features, behavior and availability may change. The source also says automated form generation may produce errors and that operators should review forms before publishing them.
Delvasta — forms that build themselves
The form is the front door — and it’s almost always broken. Describe what you want; get a working quiz with branching logic that asks only what’s relevant.
Independent commentary, produced with AI assistance under human editorial oversight. The views are the author’s own and may change. Delvasta is in early access; features, behavior and availability may change and it is provided without guarantee of uptime or fitness for a particular purpose. Delvasta processes respondent personal data; operators are responsible for their own lawful basis and obligations under applicable law including the GDPR. Automated form generation may produce errors — review before publishing. Product and company names are trademarks of their respective owners; mention does not imply endorsement.
Form Friction Hits Revenue
The announcement matters because forms are often where customers, leads and user data first enter a business. A poorly designed form can reduce completion rates, collect messy data or force every respondent through the same long set of questions.
Thorsten Meyer AI’s claim is that lowering the effort needed to build adaptive forms could make better data collection more common. Instead of manually dragging fields, writing conditions and testing each route, users would describe the outcome and receive a draft that branches by respondent answers.
That could be useful for small teams that need lead qualification, plan recommendation quizzes, intake forms or surveys but do not have time to build custom workflows by hand. The value remains dependent on the quality of the generated form, the accuracy of the branching logic and whether teams can trust the output after review.
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A Hosted Portfolio Product
Delvasta is positioned inside a broader Thorsten Meyer AI portfolio that includes products across content, platform, markets, defense and diagnostic categories. The source says Delvasta belongs to the platform family and follows the same provider-agnostic design as other tools in the portfolio.
The source also states that Delvasta is hosted, like Grimfaste, another product referenced in the portfolio. The stated reasoning is that a tool meant to serve many users has to be hosted to serve them at all.
The product’s stated design focus is “edit by subtraction”: using branching logic to ask fewer questions, but the right ones, based on each respondent’s answers. The source frames this as a way to turn forms from flat questionnaires into adaptive conversations.
interactive quiz maker with branching logic
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Early Access Limits Remain
Several details are not yet clear from the source material. Thorsten Meyer AI did not provide pricing, a public launch date, supported integrations, user limits, analytics depth or a full feature list.
It is also unclear which AI providers Delvasta will support, how users will audit generated branching logic, how versioning will work, or what safeguards will catch flawed form paths before publication. The source says the platform is provider-agnostic, but it does not name model providers or technical partners.
Data protection is another open area. The source says Delvasta processes respondent personal data and is built “EU-first” with privacy by design. It also says operators remain responsible for their lawful basis and obligations under applicable law, including the GDPR.
survey creation tool with conditional questions
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Testing Shapes Final Product
The next step is the early-access phase, where Delvasta’s feature set, behavior and availability are expected to change as users test the product. Teams using it should treat generated forms as drafts, review logic before publishing and check their own data protection duties before collecting responses.
Thorsten Meyer AI is continuing its 19-day Built in Public series, so more detail may come through later portfolio posts, product pages or release notes. For now, Delvasta is confirmed as an early-access announcement, not a finished general-availability launch.
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Key Questions
What did Thorsten Meyer AI announce?
The company introduced Delvasta, an early-access AI platform for creating forms, quizzes, surveys and lead funnels from written descriptions.
What does Delvasta claim to do?
According to the source material, users can describe a desired form or quiz and receive a working version with branching logic that asks respondents only relevant questions.
Is Delvasta fully launched?
No. The source says Delvasta is in early access, and that features, behavior and availability may change.
Does Delvasta handle personal data?
Yes. The source says Delvasta processes respondent personal data and says operators are responsible for their own legal duties, including GDPR obligations where applicable.
What should users watch before publishing a generated form?
Users should review generated questions, branching paths, data fields and compliance requirements before publishing, because the source says automated generation may produce errors.
Source: Thorsten Meyer AI
