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The AI Toolkit dashboard — hero, Recommended tools, Recent activity, and the Build-a-student-chatbot card that assigns a guarded AI bot into an LMS course.
What this screen shows
The Home tab greets you (“Hi {name}, how can I help today?”) and gives three ways in: a Browse all tools button, a Recommended tools grid of nine everyday tools, and a Recent activity rail of your latest runs (click any to reopen that tool). Above the grid sits the Build a student chatbot card — the toolkit’s one route for handing an AI companion to your class safely — and an H5P Smart Studio card that links out to Edukali’s standalone interactive-activity builder.
On the dashboard
- Browse all tools
- Jump to the All Tools catalog (all 140 tools, searchable and shelved by category).
- Recommended tools
A curated grid — Lesson Plan, MCQ Quiz, Worksheet, Rubric, Professional Email, Text Rewriter, Report-Card Comments, Concept Explainer and Reading Comprehension. Each card opens that tool’s runner.
- Recent activity
- Your most recent runs, newest first; click one to reopen the tool. Empty until you run your first tool.
- Build a student chatbot
- Opens the chatbot builder — see the section below.
- H5P Smart Studio
A link-out to H5P Smart Studio, Edukali’s standalone interactive-activity builder (sold separately or as part of Edukali One) — turn documents, video or YouTube links into interactive H5P activities. It opens as its own app, with its own help guides.
Build a student chatbot
The Build a student chatbot card opens a builder that assigns a course-grounded AI companion straight into an LMS course as a chatbot activity. Students chat with it inside the course — no toolkit permission required on their side. The builder is deliberately short: you name the bot, add optional instructions and a first message, then pick the course. The bot answers only from that course’s published content — the pages, books and files your students can already see — so it is grounded in exactly what you have taught, not the open web. This is the per-course face of Edukali’s knowledge-grounded bots; you manage what a bot knows (and re-sync it after you edit content) from Course Assistant settings in the course builder, and the same RAG engine powers the admin-built Knowledge Bots.
This replaces the older “persona” chatbot that you scoped by picking a bot type (tutor / chapter / study / character / custom) and a board-class-subject. Those pickers are gone — a bot no longer role-plays or works from the syllabus at large, it answers from the specific course’s materials, which is both safer and more accurate.
- Grounded in course content
The bot answers from the target course’s published pages, books and files only — it will say it hasn’t been taught something rather than guess. What it knows is managed in Course Assistant settings (enable, auto-sync, re-sync after edits).
- What students see the bot called (e.g. “Physics Course Assistant”). This becomes the activity’s title in the course.
- Instructions for the bot
- Optional teaching rules (e.g. “ask one question back after explaining; use cricket examples; simple English”).
- First message students see
- Optional opening line to set the tone and invite the first question.
- Choose course & assign
- Pick a course and module; the bot lands as a chatbot activity students can start immediately.
Safety is non-negotiable and enforced server-side, always on. Guardrails cannot be turned off. A wellbeing layer watches conversations: a concerning message is flagged for you, and the bot itself shifts into a supportive, trusted-adult mode with helpline information. You get a monitoring view of every bot: a list of student sessions (flagged ones surfaced first) and the full transcripts, so you can see exactly how your class is using it.