TL;DR
Thorsten Meyer AI has introduced Delvasta, an early-access platform that generates forms, quizzes, surveys and lead funnels from user descriptions. The product is pitched as a way to create branching forms that ask respondents only relevant questions, but its final features, behavior and availability remain subject to change.
Thorsten Meyer AI has introduced Delvasta, an early-access AI platform that creates forms, quizzes, surveys and lead funnels from written descriptions, a move aimed at reducing the manual work behind branching forms and lead-capture workflows.
According to Thorsten Meyer AI’s Built in Public Day 10/19 material, Delvasta lets users describe the form or quiz they want and receive a working version with branching logic. The company presents the product as a tool for building forms that adapt to each respondent rather than showing every user the same fixed set of fields.
The source describes Delvasta as the newest productized bet in Thorsten Meyer AI’s operator portfolio and says it is built on the same provider-agnostic foundation as related products. It is positioned for forms, quizzes, surveys and lead funnels, with publishing and response analysis included in the product direction described by the company.
The confirmed status is limited: Delvasta is in early access. Thorsten Meyer AI says features, behavior and availability may change, and the company warns that automated form generation may produce errors that operators should review before publishing.
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.
Forms Sit At Revenue Entry
The product matters because forms are often the point where businesses collect leads, customer intent, survey responses and other first-party data. If a form asks too many irrelevant questions, users may abandon it before submitting useful information.
Thorsten Meyer AI’s argument is that the cost of building good branching forms keeps many teams on flat, generic forms. If Delvasta can make adaptive form creation closer to describing an outcome, it could lower the barrier for smaller teams that do not have time to wire conditional logic, test multiple paths or build analytics by hand.
The privacy angle is also material. Delvasta processes respondent personal data, and the source says the product is built EU-first with privacy by design. That does not remove legal duties from operators: the company’s own note says operators remain responsible for their lawful basis and obligations under applicable law, including the GDPR.
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Part Of A 19-Day Portfolio
Delvasta was presented during Day 10 of Thorsten Meyer AI’s 19-day Built in Public series. The material places it in a wider portfolio of 18 products sharing a local-first and provider-agnostic foundation, though Delvasta itself is described as hosted because a multi-user form tool needs hosting to serve respondents.
The company frames the product around a simple example: a plan-recommendation quiz that asks about team size, routes a small team to a follow-up question and skips irrelevant questions. The broader product thesis is that branching should reduce the burden on respondents by asking less and asking more relevant questions.
The announcement also draws a line between Delvasta and Grimfaste, another platform-layer product mentioned in the source. The shared theme is not a single model dependency, but an AI layer that can use a provider-agnostic architecture.
“Delvasta is an AI-powered platform for forms, quizzes, surveys, and lead funnels that build themselves.”
— Thorsten Meyer AI
branching quiz creation tool
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Open Questions On Product Scope
Several details are not yet clear from the source material. Thorsten Meyer AI does not provide a public pricing model, general availability date, integration list, supported analytics depth or limits for form volume and response handling.
It is also unclear how much editing control users will have after an AI-generated form is created, how Delvasta will handle complex consent flows, and what review tools will exist to catch faulty branching logic before a form goes live.
The company states that some of what is described is direction as much as finished fact. Readers should treat the current description as an early-access product announcement rather than a final feature specification.
survey and lead funnel software
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Early Access Will Shape Delvasta
The next phase is early-access use and iteration. The key milestones to watch are whether Thorsten Meyer AI publishes broader availability details, pricing, integrations, privacy documentation and examples of production forms built with Delvasta.
For prospective users, the near-term task is evaluation: test generated forms before publishing, verify branching paths, review wording for accuracy and confirm that any respondent data collection meets their own legal and policy requirements.
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Key Questions
What is Delvasta?
Delvasta is an early-access AI platform from Thorsten Meyer AI for creating forms, quizzes, surveys and lead funnels from written descriptions.
What is the main news development?
Thorsten Meyer AI introduced Delvasta in its Built in Public Day 10/19 material and described it as the newest productized bet in its operator portfolio.
Is Delvasta fully available now?
The provided source says Delvasta is in early access. It does not give a general availability date.
What should users be careful about?
Thorsten Meyer AI says generated forms may contain errors and should be reviewed before publishing. Operators also remain responsible for privacy and legal obligations tied to respondent data.
Why does branching logic matter?
Branching logic lets a form show different questions based on earlier answers. The goal is to avoid asking every respondent irrelevant questions, which may improve completion rates and data quality.
Source: Thorsten Meyer AI
