AI app for it and development · no coding needed
No-code AI app and agent delivery workspace
Reduce the number of separate tools and handoffs needed to launch an AI app or agent.
Made for: Founders, operations leads and internal product teams building AI-powered apps and agents without writing code

What it does for you
The problem
Building and launching AI apps and agents requires stitching together separate tools for agent logic, authentication, payments, deployment and infrastructure.
What it gives you
A deployed, human-reviewed app or agent with authentication, payments and monitoring
What you give it
Plain-language product descriptionbrand assetsworkflow rulesintegration requirements
Build your own version of Tate-A-Tate, Shipable AI by CNTXT AI and more
One app with what these 5 AI tools do, yours to keep and change: Tate-A-Tate, Shipable AI by CNTXT AI, Blink Agent Builder, AI SaaS Launcher, Hal9.
Everything these tools do, in one app
- No-code agent building Lets users create and configure AI agents without writing code.Found in Tate-A-Tate, Shipable AI by CNTXT AI, Blink Agent Builder
- Prompt-to-agent generation Turns a user's description or prompt into a working AI agent automatically.Found in Shipable AI by CNTXT AI, Blink Agent Builder
- Integrated authentication Provides built-in user authentication so apps can manage user accounts.Found in Tate-A-Tate, Blink Agent Builder, AI SaaS Launcher
- Stripe payment processing Handles payments through Stripe, including subscriptions and pay-per-use models.Found in Tate-A-Tate, Shipable AI by CNTXT AI, AI SaaS Launcher
- One-click deployment Deploys the finished app or agent to a live environment quickly.Found in Tate-A-Tate, Shipable AI by CNTXT AI, Blink Agent Builder and 1 more
- Multi-platform deployment Runs agents on multiple channels such as web, Slack, WhatsApp, and APIs.Found in Shipable AI by CNTXT AI
- Multi-model LLM support Lets users choose from multiple large language models for AI responses.Found in Shipable AI by CNTXT AI, Blink Agent Builder
- Reusable modular skills Allows adding complex AI logic through reusable modules that can be shared or monetized.Found in Tate-A-Tate
- Built-in integrations Connects to common third-party platforms like CRM, scheduling, and knowledge bases.Found in Shipable AI by CNTXT AI
- Advanced AI workflows Supports memory, retrieval-augmented generation, fallback mechanisms, and multi-agent collaboration.Found in Shipable AI by CNTXT AI, Blink Agent Builder
- Agent tools Gives agents abilities like web search, code execution, vector databases, image/video generation, and webhooks.Found in Blink Agent Builder
- Self-correction and bug fixes Enables agents to attempt error correction and apply fixes automatically.Found in Blink Agent Builder
- Human-in-the-loop gates Adds human review steps for higher-risk actions in agent workflows.Found in Blink Agent Builder
- Code export and GitHub sync Provides code download and GitHub synchronization for technical users.Found in Blink Agent Builder, AI SaaS Launcher
- AI-powered customization Generates and modifies templates, design themes, and web copy with AI assistance.Found in AI SaaS Launcher
- Low-code with full code access Offers a low-code interface with the option to access and edit the full code.Found in AI SaaS Launcher
- Expert-guided development Pairs AI agents with hands-on expert support to scope and build the product.Found in Hal9
- All-inclusive infrastructure Bundles compute, token usage, and storage into the service.Found in Hal9
How it works, step by step
- Create and configure AI agents without code
- Turn a plain-language description into a working agent
- Add built-in user authentication and account management
- Connect Stripe subscriptions and pay-per-use billing
- Deploy the finished app or agent to a live environment in one step
- Run agents on web, Slack, WhatsApp and APIs
- Choose among multiple large language models
- Add reusable modular skills that can be shared or monetized
- Connect CRM, scheduling and knowledge-base integrations
- Support memory, retrieval-augmented generation, fallbacks and multi-agent collaboration
- Give agents web search, code execution, vector databases, image/video generation and webhooks
- Let agents attempt error correction and apply fixes
- Insert human review gates for higher-risk actions
- Export code and sync with GitHub
- Generate and modify templates, design themes and web copy with AI assistance
- Offer a low-code interface with full code access
- Pair AI agents with hands-on expert support to scope and build the product
- Bundle compute, token usage and storage into the service
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for No-code AI app and agent delivery workspace with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds No-code AI app and agent delivery workspace with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data201 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce the number of separate tools and handoffs needed to launch an AI app or agent. For founders, operations leads and internal product teams building AI-powered apps and agents without writing code, convert a plain-language product description, brand assets, workflow rules and integration requirements into a deployed, human-reviewed app or agent with authentication, payments and monitoring. The benefit is a testable hypothesis, measured through time from approved scope to working deployment and accepted agent tasks per delivery hour; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect a plain-language product description, brand assets, workflow rules and integration requirements, then follow this sequence: 1. Create and configure AI agents without code. 2. Turn a plain-language description into a working agent. 3. Add built-in user authentication and account management. 4. Connect Stripe subscriptions and pay-per-use billing. 5. Deploy the finished app or agent to a live environment in one step. Resolve uncertain cases with qualified reviewers, approve a deployed, human-reviewed app or agent with authentication, payments and monitoring, and measure time from approved scope to working deployment and accepted agent tasks per delivery hour against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved deployment target and one payment provider; final security, compliance and production checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, integration permissions and deployment scope. Named owners approve substantive changes and production releases. One approved deployment target and one payment provider; final security, compliance and production checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One approved deployment target and one payment provider; final security, compliance and production checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: create and configure AI agents without code; turn a plain-language description into a working agent. Support the third module with operator review: add built-in user authentication and account management. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Author-owned product descriptions, authorized brand assets and permitted integration sources. Cloud asset storage, design-file import/export and deployment destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Build brief and references, Editable agent and app preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome a deployed, human-reviewed app or agent with authentication, payments and monitoring visible beside its evidence, review state and value baseline.





