Complete AI Training

AI app for pr and communications · no coding needed

Communications jargon interpretation lab

Test meaning with readers instead of guessing.

Made for: Public-facing organizations

What Communications jargon interpretation lab looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Internal terminology is misunderstood externally.

What it gives you

Reviewed terminology comprehension report

What you give it

Approved messagesconsented reader feedback

How it works, step by step

  1. Collect interpretations
  2. Compare intended meaning
  3. Draft clearer alternatives
  4. Link proposed outputs to original source records
  5. Capture reviewer corrections and approval
  6. Export a versioned reviewed terminology comprehension report

What you see on screen

  • Brief and sources
  • Communications jargon interpretation lab
  • Review and delivery

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 Communications jargon interpretation lab 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 Communications jargon interpretation lab 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 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 data200 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 public-facing organizations, turn approved messages and consented reader feedback into reviewed terminology comprehension report. Address this specific problem: internal terminology is misunderstood externally. The aim: test meaning with readers instead of guessing. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.

The buyer creates a project, supplies approved messages and consented reader feedback, and confirms scope and access. Users correct extracted facts, resolve flagged uncertainties and approve the final reviewed terminology comprehension report before use. Retain source links and a version history for the next cycle.

How the AI works

AI assists these bounded tasks: collect interpretations; compare intended meaning; draft clearer alternatives. Use only approved messages and consented reader feedback and preserve uncertainty in reviewed terminology comprehension report. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

Safeguards

Verify public facts and quotations. Keep publication authority explicit and preserve the original context behind media and reputation findings. One organization, one defined input format and one representative pilot batch using approved messages and consented reader feedback. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

What to build first

Costed pilot: One organization, one defined input format and one representative pilot batch using approved messages and consented reader feedback. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: collect interpretations; compare intended meaning. Support the third task through an assisted review queue: draft clearer alternatives. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of reviewed terminology comprehension report. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

What it can connect to

Approved company facts, permitted media sources and publication workflows. Permitted research libraries, interview recording imports, citation exports and document editors. Preserve original source metadata throughout the workflow. Begin with uploads and exports of approved messages and consented reader feedback. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

The screens in detail

Organize work by research question. Show a source library, an evidence matrix and a draft findings panel with linked quotations. Keep contradictory findings and unanswered questions visible. Allow reviewers to inspect the original context before accepting an interpretation. Open with brief and sources; move into communications jargon interpretation lab for the detailed task; finish in review and delivery for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.