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AI scenario generator: branching decisions with real consequences

Intle's AI scenario generator turns a plain-language brief into a reviewable branching scenario: a decision graph where choices carry consequences, scored checks with named common mistakes, and feedback that explains why each option works or fails. It is built for L&D teams, teacher trainers and compliance leads who need behavioural practice rather than another slide deck. Download the result as a SCORM 2004 or 1.2 zip for LMS testing, or share it as a hosted session link.

See a live example

A real generated scenario

This was generated from one brief and passes the same quality gates every package does. Click through it — every section is live.

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Interactive preview

Scenario · 9 sections · Fully interactive

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A pupil asks you to keep a disclosure secret

Scenario
2 min
At the end of a lunchtime club, a Year 9 pupil waits until everyone else has left and says quietly, "I need to tell you something about home, but you can't tell anyone." In that moment, your tone, wording, and next steps affect both the pupil's trust and the school's ability to protect them. Your role is not to investigate or judge the truth of what you hear; it is to listen, avoid leading the pupil, make clear you cannot keep safeguarding information secret, and pass the concern on promptly through the school's safeguarding route.
  • Stay calm and let the pupil speak in their own words.
  • Do not promise confidentiality or start investigating.
  • Record facts and report promptly to the DSL or deputy.

Teacher response from disclosure to report

A high-level path showing the immediate safeguarding actions expected when a pupil begins to disclose harm.

graph TD
A[Pupil starts talking] --> B[Listen calmly]
B --> C[Reassure support]
C --> D[Explain no secrecy]
D --> E[Record exact words]
E --> F[Report to DSL]
Made with intle.co.uk

What every generated package includes

A branching decision graph with tracked state

Every choice applies state changes, not just right/wrong marks. The live safeguarding example runs a seven-node graph that tracks trust, evidence quality and risk: promising a pupil secrecy earns one point of trust but two points of risk, steering the story towards the delayed-protection ending rather than the prompt-action one.

Graded consequence decisions

Decision points rate each option optimal, acceptable or dangerous, with a written consequence for every choice — including the plausible-but-slow ones. Where the subject is regulated, each consequence cites its source; the example references Keeping Children Safe in Education throughout.

Scored checks across varied response modes

The example includes five scored checks spanning single-select, short-text fill-the-gap (with accepted alternative answers), multi-select, ordering and a consequence-based decision. Every one carries an explanation of why the answer is right plus a named common mistake.

Flashcard decks for language rehearsal

Where wording matters, the generator builds flashcards: the example ships six shuffled cards contrasting neutral prompts ("Can you say more?") with leading or blaming phrases ("Did he hit you again?"), each with a hint.

Built-in visuals, not stock images

Flowcharts, comparison tables and timelines are generated as part of the content. The example includes escalation-route flowcharts, a neutral-versus-leading wording table and a four-step post-disclosure timeline — each tied to the section it supports.

A pass mark that reports to your LMS

The example sets an 80% pass mark across its five scored sections. Each check carries a SCORM interaction ID, so individual responses and the overall score are reported to your LMS through the standard SCORM data model — cmi.interactions and the final score — on both SCORM 2004 and 1.2.

How it works

  1. 1

    Describe the situation

    Write a brief in plain language (up to 5,000 characters) and optionally attach source material — PDF, DOCX, PPTX, images or a URL. The live safeguarding example began as a single paragraph naming the audience, the moment and the behaviours to practise.

  2. 2

    Review the structure before generation

    Intle proposes the scenario's shape — the decision points, branch outcomes and scored checks — and you adjust it before any content is written, so the branching logic matches how the situation actually unfolds.

  3. 3

    Generation with quality gates

    Scenario packages must clear the strictest interaction threshold of any content type bar assessments: at least 70% of sections interactive, plus checks on visual density, response-mode variety and the longest stretch without an interaction. Violations trigger an automated repair pass before anything ships.

  4. 4

    Deliver as SCORM or a hosted link

    Download a zip targeting SCORM 2004 (4th Edition) or SCORM 1.2, or share a hosted session link that needs no LMS. Dated package-level results and current per-platform validation status are published on our LMS compatibility page.

What teams build with it

  • Safeguarding disclosure practice for secondary school teachers — rehearsing a Year 9 pupil's first words through to the DSL handoff before it happens for real
  • Feedback and conflict conversations for first-time managers, built by L&D teams as part of new-manager development programmes
  • Patient communication practice for healthcare educators — breaking bad news, anxious patients and shared decision-making, with branching consequences instead of scripts
  • Complaint de-escalation for retail and customer support trainers, where each choice visibly moves the customer's trust up or down

Frequently asked questions

Can I export a branching scenario as SCORM?

Yes. Every scenario package downloads as SCORM 2004 (4th Edition) or SCORM 1.2. The branching graph runs entirely inside the package, and scored checks carry SCORM interaction IDs so responses and the final score are reported to your LMS through the standard SCORM runtime.

Which LMS platforms are supported?

Packages target the SCORM 2004 4th Edition and SCORM 1.2 specifications. We publish dated package-level results and the honest per-platform status on our LMS compatibility page rather than claiming blanket support; check the exact build and your platform before rollout.

Can I edit the branches and decision points after generation?

Yes, at two stages. The structure review lets you reshape decision points and outcomes before generation, and the visual editor lets you edit nodes, choices, consequences, questions and the pass mark afterwards — edits automatically repackage the SCORM zip.

How does scoring work in a branching scenario?

Two layers work together. The branching graph tracks state variables — trust, evidence quality and risk in the live example — which determine the ending a learner reaches. Separately, scored checks (single-select, short-text, multi-select, ordering and consequence decisions) count towards a pass mark you control; the live example uses 80% across five checks, and this is what reports completion and score to your LMS.

Is there a free plan?

Yes. You can generate scenario packages on the free plan. Free and Starter exports retain the Intle credit; Premium removes it. Paid plans also extend hosted-session lifetimes.

Generate and review your own draft

Describe what you want to teach. Download a SCORM package for your LMS or share a hosted session link — free to start, no card required.