AI app for marketing · no coding needed
Source-linked prompt workbench and console
Reduce prompt rewriting while keeping a reviewable record of what was asked and why.
Made for: Marketing teams and content operators who write prompts for AI tools daily
What it does for you
The problem
Rough prompts produce inconsistent AI answers, and prompt knowledge is scattered across browser tabs, notes and individual habits.
What it gives you
Reviewer-approved prompts and prompt chains linked to source material
What you give it
Rough instructionsbrand contextsaved templatesplatform settings
Build your own version of ChatGPT Super Prompt Generator, Velocity: The Prompt Co-Pilot and more
One app with what these 10 AI tools do, yours to keep and change: ChatGPT Super Prompt Generator, Velocity: The Prompt Co-Pilot, Easy Prompt, Labescape, Pretty Prompt, Weavel, OctiAI, Prompter, PromptChainer, Promptimize AI.
Everything these tools do, in one app
- Prompt generation and enhancement Turns rough or vague instructions into clear, optimized prompts for AI tools.Found in ChatGPT Super Prompt Generator, Velocity: The Prompt Co-Pilot, Easy Prompt and 3 more
- Prompt templates and frameworks Provides pre-built prompt structures or templates for common tasks to speed up prompt creation.Found in ChatGPT Super Prompt Generator, Easy Prompt, Pretty Prompt and 1 more
- Multi-platform AI compatibility Works with several AI platforms such as ChatGPT, Claude, Gemini, DeepSeek, and Midjourney.Found in Velocity: The Prompt Co-Pilot, Easy Prompt, Prompter and 1 more
- Browser extension integration Runs as a lightweight browser extension that fits into existing workflows.Found in Velocity: The Prompt Co-Pilot, Prompter, Promptimize AI
- Real-time prompt feedback Gives immediate suggestions or refinements while you type or after you submit a prompt.Found in Pretty Prompt, Promptimize AI
- Context and personalization Automatically adds background information, role, tone, or project details to prompts.Found in Prompter, Promptimize AI
- Prompt saving and management Lets users save favorite prompts and organize them for reuse.Found in Prompter
- Project tagging and switching Enables easy switching between different projects or roles, applying the right context for each.Found in Prompter
- Prompt chaining and workflows Links multiple prompts in sequence to automate multi-step AI interactions.Found in PromptChainer
- Conditional logic and branching Adds customizable logic for branching and conditional responses in prompt sequences.Found in PromptChainer
- Export and share prompt chains Allows users to export and share prompt chains with others for collaboration.Found in PromptChainer
- Custom chatbot creation Enables users to build custom AI chatbots without coding by uploading data and setting branding.Found in Easy Prompt
- Multiple chat modes Offers many optimized chat modes for different tasks and creative needs.Found in Easy Prompt
- Team collaboration Supports sharing and working together on prompts or knowledge within teams.Found in Easy Prompt, Weavel, OctiAI
- Knowledge capture and organization Saves highlights from web pages, PDFs, and videos with automatic tagging and a searchable base.Found in Weavel
- Automated content generation Generates content automatically using customizable templates.Found in OctiAI
- Data analysis and insights Provides data analysis tools that offer actionable insights.Found in OctiAI
- Virtual lab simulation Simulates chemistry experiments with realistic reactions and equipment controls.
How it works, step by step
- Turn rough instructions into clear optimized prompts
- Offer pre-built templates for common tasks
- Target several AI platforms with one prompt set
- Run as a browser extension inside existing tools
- Give real-time suggestions while typing
- Add role, tone and project context automatically
- Save and organize favorite prompts
- Tag and switch between projects and roles
- Link prompts into multi-step chains
- Add conditional branching to chains
- Export and share prompt chains
- Build custom chatbots from uploaded data
- Provide multiple chat modes for different tasks
- Support team sharing and review
- Capture highlights from pages, PDFs and videos
- Generate content from approved templates
- Report usage and outcome insights
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewer-approved prompt set with source references and unresolved questions
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 Source-linked prompt workbench and console 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 Source-linked prompt workbench and console 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 links5 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare24 KB
- prompt-vps.mdThe same build on your own server (Docker)24 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data196 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 prompt rewriting while keeping a reviewable record of what was asked and why. For marketing teams and content operators who write prompts for AI tools daily, convert rough instructions, brand context, saved templates and platform settings into reviewer-approved prompts and prompt chains linked to their source material. The benefit is a testable hypothesis, measured through accepted AI outputs per prompt revision and reviewer corrections per approved prompt; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect rough instructions, brand context, saved templates and platform settings, then follow this sequence: 1. Turn rough instructions into clear optimized prompts. 2. Offer pre-built templates for common tasks. 3. Target several AI platforms with one prompt set. Resolve uncertain cases with qualified reviewers, approve reviewer-approved prompts and prompt chains linked to source material, and measure accepted AI outputs per prompt revision and reviewer corrections per approved prompt against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three 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 prompt format and a fixed set of target platforms; final brand and factual checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve brand voice, source attribution, quotation accuracy and usage permissions. Named owners approve substantive prompt changes and publication scope. One approved prompt format and a fixed set of target platforms; final brand and factual checks remain editorial. 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 prompt format and a fixed set of target platforms; final brand and factual checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: turn rough instructions into clear optimized prompts; offer pre-built templates for common tasks. Support the third module with operator review: target several AI platforms with one prompt set. 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
Customer-owned prompt libraries, brand documents and permitted research sources. Cloud storage, browser extension surfaces and target AI platform endpoints. 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: Prompt intake and context, Editable prompt and chain preview, Review and delivery console. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for sources, constraints and comments. Let users compare prompt versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant prompt block. Make the task-specific outcome reviewer-approved prompts and prompt chains linked to source material visible beside its evidence, review state and value baseline.
