AI app for sales · no coding needed
Sales partner certification simulator
Improve accurate selling through observed task performance.
Made for: Technical channel enablement providers

What it does for you
The problem
Partners claim readiness without practicing representative selling tasks.
What it gives you
Trainer-reviewed partner readiness evidence
What you give it
Approved product factstrainer-designed scenarios
How it works, step by step
- Simulate customer discovery
- Test capability explanations
- Provide expert-reviewed practice feedback
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned trainer-reviewed partner readiness evidence 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 Sales partner certification simulator 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 Sales partner certification simulator 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 links1 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 data197 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
Improve accurate selling through observed task performance
Confirm the buyer's problem and scope, collect approved product facts and trainer-designed scenarios, then follow this sequence: 1. Simulate customer discovery. 2. Test capability explanations. 3. Provide expert-reviewed practice feedback. Resolve uncertain cases with qualified reviewers, approve trainer-reviewed partner readiness evidence, and measure correct task completion per training hour and fewer unsupported claims 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. No automatic employment or commercial eligibility decisions. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Keep product capabilities and commercial terms verified. Use authorized customer records and require review before outreach, promises or pricing exceptions. No automatic employment or commercial eligibility decisions. 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: No automatic employment or commercial eligibility decisions. Implement one approved input format, a bounded representative case set and the first two task modules: simulate customer discovery; test capability explanations. Support the third module with operator review: provide expert-reviewed practice feedback. 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
Approved sales collateral, CRM records and product or pricing information. Learning portals, calendar scheduling and authorized session exports. Make recording, sharing and retention controls explicit in the product. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Scenario designer, Interactive replay, Evidence and debrief. Use a scenario catalog with clear goals and difficulty settings. The main session area supports text, optional voice and visible context. Follow it with a replay or decision map, annotated feedback and a next-practice plan. Facilitators can author scenarios and review participant-selected sessions. Make the task-specific outcome trainer-reviewed partner readiness evidence visible beside its evidence, review state and value baseline.





