DoAny

DoAny describes itself as an “AI company builder” for people who have a business idea but do not want—or do not know how—to assemble the technical and commercial team normally needed to launch it. The proposition goes substantially beyond an AI website builder. From a plain-language company idea, DoAny says its agent researches the market, builds the product and website, launches them, works on search and AI-answer visibility, posts content, finds prospective customers, handles sales conversations, responds to support questions, asks for reviews and sends invoices.¹

The product is explicitly aimed at non-technical founders. DoAny’s current site frames the founder’s role as setting the idea, direction and major decisions while an AI teammate named Annie and the wider agent system execute the operational work.¹

That breadth is the main reason DoAny is interesting. It is also the main reason the product requires unusually careful supervision. Building a landing page is low consequence compared with publishing claims, contacting prospects, changing prices, taking payments or responding to customers. DoAny’s own Terms make that distinction clear: users are responsible for reviewing important agent actions before they affect customers, payments, legal obligations, public claims, pricing, refunds, outreach, regulated activities or connected third-party accounts.²

This is a desk review. AiToolMap did not create a company with DoAny, spend credits, deploy a generated product, connect payment or social accounts, send outreach, measure generated code quality, or verify any revenue or customer-acquisition outcome directly.

Most AI app builders stop after producing software or a website. DoAny’s differentiation is the attempt to continue operating after launch. Its homepage says the agent can work on discovery, daily posting, customer acquisition, sales, support, reviews and invoicing after the product goes live.¹

That is strategically coherent. A common failure mode for solo founders is not the inability to make a first website; it is the number of different disciplines required after the website exists. Product iteration, SEO, content, outreach, sales, customer support and billing each create another workflow and another tool to learn.

If DoAny can coordinate those functions credibly, the value is greater than simply generating code. But the same end-to-end promise means output quality cannot be judged by one benchmark. A technically adequate generated product can still fail because the marketing is generic, outreach is inappropriate, support answers are wrong, pricing is poorly chosen or the agent acts without enough business context.

DoAny’s own Terms anticipate this. They state that AI output may be incomplete, inaccurate, outdated, offensive, non-unique or unsuitable, and require the operator to test the product before publication, with particular attention to forms, uploads, authentication, payments, integrations and information-collection features.²

DoAny says a founder can describe an idea in normal language and receive a working product and website the same day, often “live tonight.” The homepage says the system can build stores, simple tools, courses, services and communities.¹

That is a strong accessibility proposition. A founder can begin without code and, on the free plan, without a credit card. The current Free tier includes market/idea research and creation of a first website.⁵

The evidence does not establish the ceiling of what DoAny can build. There is no current fixed-panel technical review, independent code-quality benchmark, security audit of generated applications or controlled comparison against dedicated app builders. The site’s claim that it can build a “real company” should therefore be read as positioning, not as evidence that arbitrary product complexity can be reproduced reliably.

DokeyAI reaches a similar practical conclusion from the outside: it lists no-code accessibility and same-day launch as strengths, while noting limited technical documentation on the public homepage and positioning the product mainly around online businesses.³ That source is a directory rather than a deep hands-on test, so the observation is useful but low-weight.

DoAny does not merely generate suggested marketing copy. Its public proposition is that the system will help the business appear in Google and AI answers, post in relevant feeds and communities, approach prospects, answer questions and move interested users toward payment.¹

That is much harder to validate than website generation. Search visibility depends on competitive dynamics and platform algorithms; outbound communication depends on targeting and consent; sales performance depends on the offer, price, trust and market; automated community posting can become spam if poorly governed.

DoAny’s Terms explicitly prohibit spam, unlawful telemarketing, deceptive outreach, fake reviews, phishing and messages sent without required consent. They also state that DoAny does not guarantee Google or AI-answer ranking, customer acquisition, closed sales, reviews, revenue, churn avoidance or a viable company.²

Those disclaimers are not unusual. They are particularly important here because the homepage marketing language is deliberately expansive. “Finds customers and sells for you” describes the intended workflow; it is not a verified outcome guarantee.

For a serious pilot, founders should measure these functions separately: qualified traffic, outreach response rate, sales conversion, unsubscribe/complaint rate, cost per acquired customer, support accuracy and the amount of human correction required.

The company-builder concept only works if the system can act, not merely advise. DoAny’s Terms say its agents may schedule, publish, send, respond, create and update based on instructions, connected accounts and configuration.²

The Terms simultaneously make the operator responsible for reviewing important actions. This is the correct governance model for a young agentic platform: autonomy can reduce operational workload, but it does not transfer legal or commercial responsibility away from the founder.

That is especially important for outreach, refunds, pricing changes, customer promises and public claims. A founder should decide which classes of actions can execute automatically, which require approval, and which should never be delegated without human review.

The public evidence reviewed by AiToolMap does not establish how granular DoAny’s approval controls are in practice. That is an important hands-on test for a future review.

DoAny’s current public pricing is simple at the entry level.⁵

The Free plan costs $0, requires no credit card, supplies five daily credits up to 30 per month, includes automatic idea/market research and a first AI-built website, and is limited to one company and one team member.

Pro costs $25 per month and includes 100 monthly credits plus five daily credits, unlimited companies, unlimited team members, priority support and access to top-up credits. Hosting is included.⁵

Credits are consumption-based rather than a fixed number of prompts. DoAny says small tasks may cost less than one credit and larger jobs more, with per-task cost visible in usage history. Daily credits reset each day, monthly credits expire at the end of the billing month and top-up credits last 12 months.⁵

Additional credits currently cost $15 per 50 credits and can be purchased in amounts from 50 to 10,000 once a subscription is active.⁵

At $25, the subscription is inexpensive relative to the breadth promised. But the economic variable is not the headline subscription price; it is how many credits a realistic company consumes across building, content, customer conversations and AI features exposed to end users. If a generated product itself contains AI features, those customer-triggered workloads draw from the same credit balance.⁵

AiToolMap therefore treats value-for-money as promising but not yet normalizable without real workload data.

All 50 members of `ai-review-panel-2026-08-v4` were audited under AiToolMap methodology v1.8. None produced current exact-product DoAny evidence. The panel includes model benchmarks, mainstream technology publications, enterprise review platforms, app stores and user-review services. Their collective silence is not a negative score; DoAny is a young, niche product that has not yet accumulated mainstream testing or a mature public review population.

For benchmark sources such as Artificial Analysis, ARC Prize, LM Arena, HELM, SWE-bench and Aider, AiToolMap explicitly refused to transfer scores from whatever underlying language models DoAny may use. DoAny does not publicly establish a single current model surface whose benchmark score could legitimately stand in for the quality of the full company-building system.

Because panel evidence is thin, AiToolMap expanded beyond it. Current first-party product, pricing, Privacy Policy and Terms pages were read in full. Current third-party directory/editorial pages such as DokeyAI and MagicBox were also inspected, but they largely restate DoAny’s own feature claims rather than report controlled testing.³⁴

The result is a review with good evidence about what DoAny currently offers and what its contractual boundaries are, but low confidence about how reliably those promises translate into real businesses.

DoAny repeatedly says the founder keeps the company, product, customers and brand. The Terms give this claim useful legal detail. Users retain ownership of their submitted content and business data, and—as between the user and DoAny—own the websites, software, copy, workflows and other output generated specifically for them, subject to third-party rights, open-source licenses and separate agreements.²

DoAny retains ownership of its underlying platform, models, systems, templates, prompts, workflows, documentation and tooling. That is a normal distinction between generated output and the machinery used to create it.

The Terms also say DoAny does not take company equity or a revenue share unless a separate signed agreement provides otherwise.²

This is materially better than a vague marketing statement that “everything is yours.” Buyers should still inspect dependencies embedded in the generated product: third-party services can have their own fees, rate limits, policies and availability, and the generated output remains subject to third-party and open-source rights.²

DoAny displays “4.9 / 5 Excellent” prominently on its homepage and pricing page.¹⁵ The pages reviewed by AiToolMap do not identify a source, sample size, review platform or methodology for that number.

Under methodology v1.8, that makes it a vendor-presented marketing metric, not an independent rating input. It is recorded as a transparency observation and excluded from the future numeric equation.

The 50-source panel found no current G2, Capterra, TrustRadius, PeerSpot, app-store or other qualifying exact-product review population. Trustpilot also produced no relevant DoAny result, so there is no Trustpilot qualitative signal to summarize.

Third-party directories are present, but they mostly paraphrase the feature set. DokeyAI lists the free start, $25 entry price, broad function coverage and lack of coding requirements as advantages while identifying limited homepage detail as a weakness.³ MagicBox similarly describes the product as an end-to-end autonomous company-building agent and recommends keeping the founder involved in strategic decisions.⁴ Neither provides a robust independent user sample.

DoAny’s privacy surface is more consequential than that of a simple app builder because the service may host products and operate customer-facing workflows.

The Privacy Policy says DoAny can process account and billing data, business/project information, prompts, files, code, generated output, deployment settings, databases, logs, integration tokens, messages and analytics. It can also process “Hosted Site Data” collected through products a user operates, including customer or visitor names, emails, account information, form responses, uploads, posts, support conversations, consent choices, purchase records and invoices.⁶

For Hosted Site Data, DoAny says the customer using DoAny is generally the controller/business and DoAny acts as service provider or processor where applicable. The customer is responsible for lawful basis, privacy notices, rights handling and consent controls.⁶

DoAny uses its own and third-party AI systems. Prompts, files, business data, customer data and output may be processed by those systems to provide the service. The policy warns that third-party AI provider retention and model-improvement practices can vary according to provider, account type, configuration and agreement.⁶

The policy says Hosted Site Data is not used for unrelated advertising. Any independent product-development or model-training use of Hosted Site Data will be described in a feature notice, setting or separate agreement. Aggregated or de-identified information may be used to improve DoAny.⁶

A major limitation is explicit: DoAny-hosted products must not directly process HIPAA-regulated protected health information or PCI-DSS card data in hosted forms, files, databases or logs, except that a supported PCI-compliant payment processor may collect card data in processor-controlled checkout fields.⁶

For founders building customer-facing products, privacy configuration is not something the agent can simply “take care of.” DoAny’s policy repeatedly places responsibility for notices, consents and appropriate collection on the business operator.

The Privacy Policy says DoAny uses technical, organizational and administrative safeguards, but the public material reviewed here does not provide a detailed security architecture or an independent certification claim.⁶

The Terms require users to review authentication, data collection, integrations and published product behavior themselves, and disclaim any warranty that generated output will be secure, compliant or error-free.²

That distinction matters. An AI-generated app can look complete while still containing authorization mistakes, insecure data flows or poor privacy defaults. AiToolMap found no current fixed-panel penetration test, security benchmark or certification evidence specifically validating DoAny-generated applications.

For anything beyond a low-risk experiment, a buyer should independently test authentication and authorization, secrets management, database exposure, uploaded-file handling, input validation, dependency vulnerabilities, tenant isolation, backups, data deletion and connected-account permissions before launch.

DoAny’s strongest claims concern outcomes: a product live the same day, customers found automatically, sales closed while the founder sleeps and a business that keeps operating after launch.¹

The company itself correctly tempers those claims in its Terms: no search ranking, audience, customer, sale, review, revenue, retention or company viability is guaranteed.²

Independent evidence is not yet strong enough to close that gap. None of the 50 fixed sources has current exact-product testing. AiToolMap found no controlled benchmark of generated product quality, SEO results, outreach effectiveness, sales conversion, support accuracy or uptime in the reviewed materials.

That means a DoAny pilot should be treated as an experiment with measurable checkpoints rather than an assumption that a $25 agent replaces a $12,800/month team. The latter comparison appears on DoAny’s own site and is marketing arithmetic, not evidence of equivalent labor output.⁵

DoAny is most compelling for a non-technical solo founder who wants to test a lightweight online-business idea without first hiring a developer, marketer and salesperson.

It is also potentially useful for experienced founders who understand how to inspect business output but want an agent to reduce routine work across research, content, outreach, support and administration.

The Free tier is a sensible way to explore the workflow. Pro’s $25 entry price makes a limited pilot inexpensive.⁵

DoAny is less suitable today for a founder who needs independently proven production reliability, complex regulated workflows, sensitive health/payment data processing, or a deeply customized enterprise application. The product’s own policies impose significant restrictions and human responsibilities in those areas.⁶²