You already taught the answer. Students still can't find it.
Platform search finds a lesson title. Generic AI invents what you might have taught. Tricky Wombat indexes your full course library with the materials beside them: modules, lessons, PDFs, and videos. Students get answers from what you already taught, with links back to the source lesson. With platforms like Kajabi, Circle and Teachable, your answers are just a click away.
Lesson-scoped search
Your students ask course questions. Built-in tools only see one lesson.
Native search is fine when someone remembers the lesson name. They stall when a student asks how module 2 connects to the worksheet in module 5, or which framework you taught before the case study. Generic chatbots fill the gap with confident guesses that are not your curriculum.
Your students do not think in lesson IDs. They ask how to run the process you demonstrated across three modules. What to do when their situation differs from the example. Where you refined the guidance after the first cohort. Those answers sit across courses, drip sequences, and downloads.
Tricky Wombat connects the full library. Students ask in plain language. They get your answer from your actual lessons, not a guess from a single page.
Beyond platform search
Lesson search stops at the page the student is on
Course platform search and generic AI chat stay scoped to a keyword match or a short prompt. Tricky Wombat treats your courses as a knowledge system. You are not buying a better FAQ. You are buying a different product surface for students and for you.
Aggregate teaching across entire courses and modules
Connect a course and treat it as one body of knowledge. A question pulls from module 1, refines with module 4, and cites the update you published last month. Students stop hunting through every lesson.
Map relationships between concepts in your curriculum
Frameworks, tools, people, exercises, and case studies you teach form a connected graph across the library. Ask how two ideas relate, which lesson introduced a method, or where your guidance changed. You get linked sources, not a one-lesson paraphrase.
Mine processes from your lesson sequences
Courses encode workflows: steps, branching choices, and repeated methods. Tricky Wombat surfaces process structure from that teaching so students follow the method you already designed instead of rewatching hours of video.
Answer from the course, cite the source lesson
Responses stay grounded in your content, with links back to the lessons you said it in. When you have not covered a question, the system says so. Invented tips damage trust faster than an honest gap.
Built for teachers with depth across courses, not one-off lessons
Lesson search stops at the page open in the browser. Tricky Wombat is for teachers whose value lives in the library: multi-module courses, cohorts, worksheets, and years of refined teaching.
If your best answer spans five lessons, your AI should too.
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Ask across the whole course, not one lesson
Ask across the whole course, not one lesson
- Watch a Kajabi or Circle course so new lessons enter the same searchable index as the rest of the curriculum.
- Students pull teaching across modules instead of rewatching every lesson for one detail.
- You keep one knowledge layer that grows as the course grows.
Connect the frameworks, tools, and ideas across your curriculum
Connect the frameworks, tools, and ideas across your curriculum
- Entities extracted from your lessons form a relationship graph, not a bag of lesson titles.
- Ask which lessons teach a framework, how two concepts connect, or where you changed an exercise over time.
- Answers cite the specific lesson you said it in, so students jump straight there.
Turn lesson sequences into reusable workflows
Turn lesson sequences into reusable workflows
- Curriculum content encodes steps, branching choices, and repeated methods.
- Process mining surfaces candidate workflows from that teaching so students follow the method instead of skimming a summary.
- Review and refine candidates. Your process becomes queryable without rewriting the course.
Answer from the course, cite the source lesson
Answer from the course, cite the source lesson
- Responses stay grounded in your content, with links back to the lessons you said it in.
- Students jump to the lesson moment, not a paraphrase of a single module page.
- When you have not covered a question, the system says so. An honest gap beats a confident fake.
How it works
Answer quality is set before the model writes a word
Most course chatbots hand a question and a lesson transcript to a language model and hope for the best. Tricky Wombat treats student Q&A as a pipeline problem. Stages run before generation so answers stay precise across hundreds of lessons, not the one currently open.
Classify the question
A fact lookup differs from synthesizing a full module path. Classification picks the retrieval strategy before anything is fetched.
Retrieve across the course library
Hybrid search and reranking pull fewer, better-ranked moments from your indexed courses and materials. Stuffing an entire catalog into a context window makes answers worse.
Assemble scoped context
Retrieved segments are compressed and scoped to the question. Noise and redundant repeats drop out. The model gets what it needs for this ask.
Generate in your voice with guardrails
Cite sources, stay inside the evidence, match your teaching tone, flag uncertainty. The pipeline defines what a good answer looks like before the model runs.
Score and improve
Faithfulness, relevance, and completeness are scored. Weak answers get caught before students see them. The system tunes itself with use.
50 +
lessons is normal for a serious course, and an unsearchable archive without AI that spans modules
1
lesson page at a time is the practical limit of built-in platform search for most student questions
3 +
places teaching often lives: course platforms, downloads, and community posts that never show up in one search
Student intelligence
Every question tells you what to teach next
Community threads and support DMs are noisy. Structured questions against your course show what students still cannot find. Cluster themes, spot gaps against your curriculum, and let demand drive the next lesson, not only completion rates.
- Question clustering by topic and theme
- Trend detection for emerging student stuck points
- Content gap understanding against your course library
- Signals for new modules, worksheets, and follow-up lessons
Course ingestion
Connect Kajabi, Circle or Teachable. Watch the courses. Keep the index fresh.
Ingest Kajabi, Circle or Teachable courses with lesson bodies and metadata. Watch spaces so new lessons sync as you publish. Pair course ingestion with PDFs, videos, and site watches when your teaching lives beyond one platform. Students ask one place. Your library stays the source of truth.
- Kajabi and Circle course watches
- Lessons indexed for retrieval with links to source modules
- New lessons enter the knowledge base as the watch sweeps
- Optional PDFs, videos, and web watches beside your courses
Testimonials
Teachers and mentors who use Tricky Wombat
“My audience explores fresh content across all of my media in real time, without me having to think about it.”
Chip Conley
Founder of MEA & Joie de Vivre Hotels, Strategic Advisor to Airbnb
“I explore my content, synthesize new ideas, and expand my strategic voice using Tricky Wombat.”
Ron Nakamoto
Founder of True Wealth Mentorship, Certified Financial Planner, Financial Coach
Trust-preserving AI
Your students trust you. The AI earns that trust by showing its work.
Students spot a generic chatbot fast. Fabricated homework tips or a flat "I don't know" both break the relationship you spent years building in the classroom and on camera.
Tricky Wombat cites your words and links to the source lessons when the library covers the question. When it does not, the system acknowledges the gap and points to related material, or surfaces the miss as a curriculum idea for you. An honest miss beats a confident fake.
Everything you want to know
Frequently asked questions
Teachers comparing course AI to platform search and generic chatbots ask the same things. Is this another summarizer? Does it work with Kajabi and Circle? Will answers sound like me?
Here are the answers the way we give them on a first call.
Platform search finds titles and keywords inside the product. Tricky Wombat indexes your courses as a knowledge base. It aggregates ideas across modules, maps relationships between concepts, and mines processes from lesson sequences, with citations back to your lessons.
Yes. Connect Kajabi, Circle, Teachable, or several. Course watches keep new lessons syncing into the same index. Students query the curriculum as one coherent body of work, even when teaching spans platforms.
As lessons ingest, frameworks, tools, people, exercises, and concepts get extracted into a graph with relationships between them. Answers connect mentions across modules, for example every time you taught a method, or how two ideas show up together. That differs from matching keywords in one lesson page.
Courses encode workflows. Process mining finds candidate step sequences and workflow patterns in that material so students follow a method you already taught. You review candidates. The goal is making your process queryable, not inventing a curriculum you never designed.
The pipeline learns linguistic patterns from content you designate as representative of your teaching voice: structure, vocabulary, formality, humor. It does not rely only on a short system prompt. Responses stay grounded in what you taught, with sources attached.
Connect your Kajabi, Circle or Teachable courses, ingest and index, then test with real student questions. A typical engagement starts with a short fit call about your curriculum and audience. The people who built the platform help with setup.
See how it works with your courses
Connect a Kajabi, Circle or Teachable course. Ask a question your students would ask. See the answer with sources. One call. No commitment.
Book a 20-minute fit callCourse-scale search without the enterprise price.
Plans start at $35/seat.