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MLAI generator

AI microlearning generator — from brief to scored lesson

Intle turns a plain-language brief into a reviewable interactive microlearning draft with scored checks, built-in visuals and one clear takeaway per section. It is made for L&D teams, trainers and subject-matter experts who need focused reinforcement and refreshers without rebuilding in an authoring tool. Download the result as a SCORM 2004 or 1.2 package for LMS testing, or share it as a hosted session link.

See a live example

A real generated microlearning

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

ML

Interactive preview

Microlearning · 6 sections · Fully interactive

Answered
0/3
Correct
0
Time
0:00

When rapport outweighs evidence

Scenario
1 min
You finish two interviews and instinctively prefer the candidate who felt easiest to talk to. But the other candidate gave clearer examples of handling complaints, prioritising work, and meeting deadlines. Bias often enters in these small moments, when comfort or first impressions crowd out job-relevant evidence.
  • Likeability is not evidence of competence.
  • Bias can influence scoring within minutes.
  • Fairer decisions come from comparing evidence against role criteria.

Gut feel versus evidence in interviews

A quick comparison of how first impressions can diverge from role-related evidence.

ApproachWhat the manager noticesLikely result
Gut-feel impressionEasy conversation, shared vibeMore likeable candidate may be
Evidence-based judgementExamples linked to job skillsStronger performer is compared
Decision riskBias can shape scoring fastFairness improves with proof
Made with intle.co.uk

What every generated package includes

Sections sized for the format

The live example packs six sections into an estimated five minutes: a context opener, a short reading, three scored checks and a key-point close — each built around one behaviour change. Typical generated length is three to seven minutes.

Scored checks in varied response modes

Matching, single-select and multi-select questions rather than a run of identical MCQs. The live example climbs Bloom's taxonomy — analyse the bias pattern, apply the scoring rubric, evaluate which interview notes are legally safer — and each select option carries its own feedback naming the specific risk or evidence.

Visuals generated alongside the text

Comparison tables, flowcharts and timeline charts are part of the content, not decoration. Five of the six sections in the live example carry a visualisation, and quality gates require roughly one visual per three sections in every microlearning.

A final assessment your LMS can grade

Each package defines a final assessment with a pass mark — 80% in the live example — with answer review allowed. Every question has its own SCORM interaction ID, so the LMS records the learner's actual responses, not just a completion flag.

Context that survives review

Topic tags on every section, explicit learning objectives, key takeaways, and regulation references where the subject calls for them — the live example cites the Equality Act 2010 against its note-taking guidance.

Navigation you control

Progress bar, back navigation and an optional sequential lock are defined in the package itself rather than left to LMS defaults, so the learner experience is consistent wherever it runs.

How it works

  1. 1

    Describe the lesson

    Write up to 5,000 characters of plain language and optionally attach sources — PDF, DOCX, PPTX, images or a URL. Intle's classifier detects that your brief is microlearning; you can override the type manually if you prefer.

  2. 2

    Approve the structure

    Before any content is written you see the proposed section-by-section outline — where the checks, visuals and takeaway sit — and can adjust it or ask for a different structure.

  3. 3

    Generation runs against quality gates

    A microlearning must reach at least 50% interactive sections, carry roughly one visual per three sections, avoid long passive streaks and vary its response modes. Output that misses the bar goes through an automatic repair pass before anything is delivered.

  4. 4

    Export as SCORM or host it

    Download a zip targeting SCORM 2004 (4th Edition) or SCORM 1.2, or share a hosted session link with participant tracking. Dated package-level evidence and current per-LMS validation status are published at /lms-compatibility.

What teams build with it

  • Interview-bias refreshers for hiring managers before a recruitment round — the live example teaches affinity, halo and contrast bias with three scored checks and Equality Act 2010 context.
  • Between-shift compliance top-ups for bar and checkout staff on licensed premises, such as Challenge 25 age verification with quick scenario checks.
  • Conversation practice for customer support and success teams — handling subscription cancellation requests with empathy and a defensible next step.
  • Onboarding nudges for software developers, such as code review checklists, constructive comment framing and common anti-patterns to catch.

Frequently asked questions

Can I export a microlearning as SCORM, and which LMSs does it work with?

Every microlearning exports in formats targeting SCORM 2004 (4th Edition) and SCORM 1.2. We do not claim per-platform verification we have not carried out: the dated package-level evidence and current validation status for each LMS are published openly at /lms-compatibility.

How does scoring work in a generated microlearning?

Each knowledge check is a SCORM interaction with its own ID, so your LMS records the learner's actual responses rather than a bare completion flag. The package also defines a final assessment with a pass mark — 80% in the live interview-bias example — and learners can review their answers. In hosted mode, responses and progress are tracked in Intle instead.

Can I edit what the AI generates?

Yes. Every generation opens in a visual editor where you can rewrite text, change questions, answers and per-option feedback, and adjust visuals. Saving your edits repackages the SCORM zip automatically and re-measures content density, so you can see if an edit has thinned out the interactivity.

Is there a free tier?

Yes. The free plan generates downloadable packages. Free and Starter exports retain the Intle credit; Premium removes it. Paid plans also extend hosted-session lifetimes.

How long is a generated microlearning?

Typically three to seven minutes. The live example runs six sections in an estimated five minutes with one clear takeaway per section. Quality gates keep it dense rather than padded: at least half the sections must be interactive, so a microlearning cannot come out as a wall of text.

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.