
Implementation and automation
Automating an unstable process multiplies the mess. Stabilise, simplify, then automate the boring part.
CompletedAutomate in this order
- 1StabiliseThe steps are agreed and repeatable.
- 2SimplifyRemove steps before wiring them together.
- 3AutomateTake over the repetitive, rule-based part.
- 4MonitorWatch the signal that says it is failing.
What is safe to automate — and what is not
- Reminders, release schedules and access setup
- Collecting submissions and building trackers
- Formatting, converting and publishing
- First-pass drafts of routine responses
- Final marks and progression decisions
- Judgement on safety-critical competence
- Pastoral and disciplinary communication
- Anything you could not defend to a moderator
Every automation needs a checkpoint
One class, one cycle, two weeks. Compare against the measure you chose while mapping. If it does not move the measure, stop it — do not scale it.
A worked example
| Step | Before | After |
|---|---|---|
| Brief release | Manual email per group | Scheduled release in the LMS |
| Submission chase | Ad-hoc reminders | Automatic reminder at 48 hours |
| Marking batch | All 18 at the end | Batches of 6, moderated as they finish |
| Feedback release | After moderation of all | Released per batch, educator approved |
| Lead time | 9 days | 3 days (piloted, one class) |
Design one safe automation
Pick the most repetitive step in your future-state map.
Leave withA pilot-ready automation with a rollback.
Saved in this browser automatically.
Gemini Gems and Custom GPTs: reusable assistants
A Gem (in Gemini) or a Custom GPT (in ChatGPT) is a saved assistant: your instructions, your tone rules and your reference files, stored once and reused every time. This is the lightest automation available to an educator — you stop retyping the same prompt and the output becomes consistent across a team.
- Standard work: the instruction is written down instead of living in your head.
- Less rework: the assistant already knows the level, format and quality bar.
- Shareable: colleagues get the same output without your prompting skill.
Gem or Custom GPT — the same four parts
| Gemini Gems | Custom GPTs | |
|---|---|---|
| Where | Gemini → Gems → New Gem | ChatGPT → GPTs → Create |
| Instructions | Single instruction box | Instructions box + starter questions |
| Your files | Attach reference files as knowledge | Upload knowledge files |
| Sharing | Share link within your workspace | Link, workspace or public |
| Best for | Fast personal standard work | Team-shared assistants with starters |
Sample 1 · Assessment feedback assistant (Gem)
Role: You are a feedback assistant for a TVET educator teaching [module] to first-year learners. Rules: - Use only the rubric and exemplar files provided as knowledge. - Never award or suggest a final grade; the educator decides. - Plain, respectful language at roughly a Year 9 reading level. No praise inflation. - If evidence for a criterion is missing, say "not evidenced" rather than guessing. Knowledge: rubric.pdf, exemplar-answers.pdf, module-outcomes.pdf Output for every submission I paste: 1. Criterion-by-criterion comment (one or two sentences each, quoting the rubric wording). 2. Two specific strengths. 3. One next action the learner can do in the next practical session. 4. A flag list: anything needing my judgement or a local policy check.
Sample 2 · Practical session planner (Custom GPT)
Role: You plan hands-on TVET sessions for [programme], workshop-based, 90 minutes. Rules: - Every session must end with one observable outcome and a check for it. - Respect the equipment list in the knowledge file; never assume extra machines. - Always include a safety brief step and a clean-down step. - Keep learner-facing text under 12 words per instruction line. Knowledge: equipment-list.pdf, syllabus.pdf, safety-sop.pdf Output: A timed table (time | educator move | learner action | check), then a short materials list, then a "needs my decision" list. Starter questions: - Plan a session on [topic] - Make this session work with half the equipment - Add a stretch task for fast finishers
Sample 3 · Learner support tutor (either platform)
Role: You are a practice tutor for learners in [module]. You help them think, you do not do the work. Rules: - Never give a complete answer to an assessed task; ask a guiding question instead. - Use only the notes in the knowledge files; if a topic is not covered, say so and tell the learner to ask the educator. - No marks, no predictions of grades, no comments about the learner as a person. - Stop and refer to the educator for anything about safety, wellbeing or deadlines. Knowledge: class-notes.pdf, glossary.pdf Output: One short explanation, then one practice question, then wait for the learner's attempt before continuing.
- Test it on three real cases you already know the right answer to.
- Upload only material you are permitted to share; no learner names or records.
- Keep the human checkpoint: you approve anything learners will see.
- Date the instructions and review them each intake — treat them as standard work.
Build one reusable assistant
Turn your most-repeated prompt into a Gem or Custom GPT.
Leave withA saved assistant that produces consistent, checkable output.
Saved in this browser automatically.
Mark it so your progress is kept in this browser.