TL;DR
Thorsten Meyer AI has introduced Delvasta, an early access platform that uses AI to build forms, quizzes, surveys and lead funnels from written prompts. The source says Delvasta can generate branching logic so respondents see only relevant questions, but pricing, wider availability and performance data have not been disclosed.
Thorsten Meyer AI has introduced Delvasta, an early access AI platform for building forms, quizzes, surveys and lead funnels from written prompts, as Day 10 of its 19-part Built in Public series. The announcement matters because forms are a common entry point for business leads and customer data, and Delvasta is pitched as a way to create adaptive flows without manually wiring every field and branch.
The Built in Public post describes Delvasta as a hosted product that turns a plain-language request into a working form with branching logic. In the example given, a user can describe a plan-recommendation quiz, and the system generates questions that route respondents through different paths based on answers such as team size and current needs.
The source says the product is designed to ask only relevant questions, publish the resulting form, and analyze responses after submission. That claim has not been backed in the source material with public usage figures, completion-rate data or customer case studies.
Delvasta is also described as part of the Thorsten Meyer AI operator portfolio and as sharing the same provider-agnostic foundation as other products in the series. The post says the product handles respondent data with an EU/Germany focus and a privacy-by-design approach, while adding that operators remain responsible for their own lawful basis and duties under the GDPR.
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.
Adaptive Forms Move Downmarket
If Delvasta performs as described, it could reduce the work needed to build forms that respond to users instead of asking every person the same list of questions. That would be relevant for small teams, marketers, sales teams and operators who need lead capture, surveys or qualification flows but do not want to build conditional logic by hand.
The business case presented by the source is that form friction can mean lost leads and weaker data. Delvasta’s pitch is that AI-generated branching can turn a static form into a narrower path for each respondent. That expected benefit remains a product thesis, not a confirmed outcome, until the platform shows measured results across real deployments.
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Day 10 Portfolio Addition
Delvasta was announced as part of ThorstenMeyerAI.com’s Built in Public series, which presents products across an operator portfolio. The post labels Delvasta the newest productized bet and says it completes the Platform family within a larger set of 18 products built on one foundation.
The source links Delvasta to Grimfaste as another hosted product in the portfolio. It also frames the platform as provider-agnostic, meaning the AI used to generate forms is not described as tied to a single model provider. The post says the product is still taking shape and that features, behavior and availability may change.
“Delvasta is an AI-powered platform for forms, quizzes, surveys, and lead funnels that build themselves.”
— ThorstenMeyerAI.com Built in Public Day 10 post
interactive quiz maker with branching logic
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Early Access Details Missing
Several details are not yet clear from the source material, including pricing, public launch timing, onboarding rules, supported integrations, analytics depth, model-provider options, retention settings and uptime commitments. The post also does not provide independent benchmarks showing that Delvasta-built forms improve completion rates or lead quality.
The source states that features, behavior and availability may change during early access. It also warns that generated forms can contain errors, meaning users are expected to review logic, wording and compliance settings before publishing.
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Testing Before Wider Release
The next phase for Delvasta is early-access use, product refinement and clearer documentation around availability, privacy controls and integrations. Readers following the Built in Public series can expect the remaining posts in the 19-day run to place Delvasta within the broader portfolio, while prospective users will need to wait for more concrete release and pricing information.
adaptive form creation platform
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Key Questions
What is Delvasta?
Delvasta is described by Thorsten Meyer AI as an early access AI platform for creating forms, quizzes, surveys and lead funnels from written prompts.
What makes Delvasta different from a normal form builder?
The source says Delvasta generates branching logic so different respondents see different paths based on their answers. That is meant to reduce irrelevant questions compared with flat forms.
Is Delvasta available now?
The product is in early access. The source says its features, behavior and availability may change, and it does not provide a wider release date.
Does Delvasta handle personal data?
Yes. The source describes Delvasta as a respondent-data product with an EU/Germany focus and privacy-by-design framing. It also says operators are responsible for their own legal basis and GDPR obligations.
What remains unconfirmed?
Pricing, integrations, public launch timing, uptime terms and measured performance results have not been provided in the source material.
Source: Thorsten Meyer AI
