Capabilities

What it does: Pick a topic, ability range, framework, and outcome. The AI returns objectives, materials, step-by-step activities, success criteria, differentiation suggestions, and timing. Edit any part and the AI re-plans around your edits.

How it helps: Cuts a routine lesson plan from 45–60 minutes to 5–10. Frees the rest of your prep for the bits that actually need YOU — the specific child, the specific question, the bit of the room you can't predict.

What changes for you: You stop spending Sunday evenings on plans and start spending them on what's missing in the plan. The AI does the convergent work; your time goes to the divergent work.

What it does: Describe an experiment in plain language ("a bouncing ball impacting the floor five times", "CO₂ rising in a closed classroom") and the AI generates physically plausible sensor data your students can read like real readings — with time, thresholds, multi-channel overlay.

How it helps: The real experiment is always the aim. But where the budget or the kit genuinely isn't there yet, a school can still teach the sensor-led STE(A)M lesson rather than skip it — and when real hardware arrives, the same view shows live readings instead, same workflow, no relearning. The fallback keeps the door open; it never closes it on doing it for real.

What changes for you: "We don't have the kit" stops being a reason a child misses out. The point stays the live experiment and the real analysis, discussion and discovery around it — the fallback just makes sure every classroom can reach it.

What it does: Generate the assessment from a topic + competency list. Push it to students' phones over your laptop's Wi-Fi hotspot — no network admin needed. Watch responses arrive live. Auto-mark the closed questions; the AI offers an interpretation of each open answer that you can accept, edit, or override.

How it helps: Closes the loop between "what I taught" and "what they learned" within the same lesson. Gap analysis tells you which child needs a different next step, and which whole-class teaching point you missed. Educator-effectiveness reports surface YOUR patterns over time.

What changes for you: Marking happens at the speed of teaching, not at the kitchen table at 9pm. The follow-up conversation with each child is data-led, specific, and timely.

What it does: Search by subject, age band, lesson length, framework, ability level, language, format, source type, and seven other angles. Each entry carries the contributing educator's voice — what was hard, what worked, the one tip they'd give next time. Semantic search finds resources that overlap by intent, not just keyword.

How it helps: Stops you reinventing the lesson someone three towns away has already polished and published. The "surprisingly hard part" field saves you the surprise. The "moment of joy" field tells you why it's worth doing.

What changes for you: You start a new topic from someone else's hard-won learning curve, not from a blank page. And when you publish your own, the next educator gets the same head start — give-to-get, applied to the staff room.

What it does: A confidential AI coaching companion that walks you through reflection on YOUR chosen competencies — not your school's, not your appraiser's. Produces structured outputs (SMART goals, GAP-SWOT analysis, feedback summaries, journal entries) you can keep, share, or shred. PIN-gated; data-encrypted at rest; zero-knowledge by design.

How it helps: Reflection that's actually private — not "private until your appraiser asks" but cryptographically yours. Coaching that doesn't require booking a coach, scheduling a slot, or worrying about what gets said. Available at 6am or 11pm, your call.

What changes for you: You stop saving the hard reflection for the rare safe conversation, and start doing it weekly because the safe conversation is always there. Also a sister Standalone PDP product for adult learners outside education entirely.

What it does: Run a scenario-based conversation across a room or a remote cohort, where everyone responds anonymously and the AI surfaces patterns in the answers — not "majority wins" but "here's where people split, here's where they unexpectedly agree, here's the question still unanswered." Eight bundled scenario sets cover ethics, planning, leadership, classroom dilemmas,

How it helps: Anonymous-by-design means the quiet voice gets weight equal to the loud one. The AI's pattern-finding gives a facilitator a starting point that isn't "what does the most senior person think". Same engine works in a school staff meeting, a board room, or a community workshop.

What changes for you: The conversation that matters happens, instead of the conversation the loudest person wanted. The room learns where it agrees and where it doesn't — both are useful.