Complete AI Training

AI app for marketing · no coding needed

Brand Voice Content Engine

Content in your organisation's own voice, learned from your existing material rather than generic templates.

Made for: Marketing leads at B2B SaaS companies

What Brand Voice Content Engine looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Expert teams lack the hours to publish, resulting in empty calendars and disengaged audiences.

What it gives you

Scheduled blog posts, social media threads, newsletters, performance reports

What you give it

Company documentsproduct pagescall recordingspast contentbrand guidelines

How it works, step by step

  1. Ingest and index brand assets
  2. Analyse tone and key messages
  3. Generate drafts for multiple channels
  4. Schedule posts across platforms
  5. Monitor engagement metrics
  6. Flag drafts for human review

What you see on screen

  • Knowledge ingestion
  • content draft board
  • performance dashboard

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 Brand Voice Content Engine 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.

Sign in Become a member

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 Brand Voice Content Engine with you.

Have Nexibeo build it

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 Cloudflare21 KB
  • prompt-vps.mdThe same build on your own server (Docker)21 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
  • demo/index.htmlThe working demo on sample data199 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

For marketing leads at B2B SaaS companies, turn internal documents and call recordings into scheduled blog posts and social threads. Address the recurring problem of expert knowledge remaining unpublished due to time constraints. The value hypothesis is a consistent publishing cadence driven by internal expertise; the pilot must establish whether this automated output maintains brand fidelity.

Upload brand assets, define tone and channels, review AI drafts, approve or edit, schedule publication, and analyse performance. Start with company documents and brand guidelines and finish with published content and engagement reports.

How the AI works

Use language models to synthesise information from documents and recordings, maintaining brand voice consistency. The AI drafts content and suggests scheduling based on engagement patterns. A human editor verifies factual accuracy and tone before publication.

Safeguards

Fact-checking against source documents, tone guardrails, human approval gate

What to build first

One B2B SaaS client, focus on blog posts and LinkedIn updates, manual review of drafts, ingestion of website and 5 core PDFs

What it can connect to

CMS, social media platforms, email marketing tools

The screens in detail

Use a central feed for drafts, a side panel for brand voice guidelines and source documents, and a performance graph for engagement metrics. Display approval status clearly. In this product, the first view is the ingestion dashboard, followed by the draft board and performance dashboard.