A co-pilot embedded inside Canvas, LearnWorlds, and Blackboard — grounded to your publisher methodology with hybrid retrieval, Cohere rerank, and Claude. Every output ships with provenance back to your source rubric.
Five failure modes we've watched derail otherwise-strong adoptions.
Teachers spend 3-4 hours building a single methodology-aligned lesson
Once published, teachers remix lessons and the publisher methodology silently erodes
Teachers paste prompts into ChatGPT and get plausible-but-off-method content
Switching tabs to ChatGPT or Copilot breaks the teacher's workflow inside Canvas / LearnWorlds
Rubrics live in PDFs, exemplars in Google Drive, scope-and-sequence in spreadsheets
Teachers spend 3-4 hours building a single methodology-aligned lesson
Burnout, late nights, watered-down lessons by Friday, attrition
22 hours/week per teacher lost to prep instead of instruction
Engineering take: none of this is solved by a chatbot. It needs a grounded retrieval system with editorial control of the knowledge base.
Six capabilities, every one of them grounded in your methodology, not the model's priors.
Rubrics, exemplars, scope-and-sequence ingested into Qdrant with grade-band and methodology-version metadata. Editorial approves every chunk.
BM25 keyword recall plus dense embeddings (OpenAI) over your KB, then Cohere Rerank surfaces the highest-fidelity passages before generation.
Anthropic Claude generates only from retrieved context. Every paragraph ships with citations back to source rubric, exemplar, or methodology doc.
LTI 1.3 Advantage for Canvas and Blackboard. Custom iframe + JS API for LearnWorlds. Teachers never leave the course they are building.
GROQ-hosted small models stream first-token drafts in ~800ms while the grounded Claude pass runs in parallel for the final, citation-backed output.
Publisher-curated rubric scores fidelity, grade-language, and citation correctness on every model or KB change. Below-threshold releases are blocked.
From an instructor click inside Canvas to a citation-backed lesson scaffold in under five seconds.
Teacher launches a lesson inside Canvas, LearnWorlds, or Blackboard Ultra. LTI 1.3 hands off role, course, and roster context.
Co-pilot mounts in-course with the instructor's session, course objectives, and methodology version pinned for that adoption.
Intent classifier resolves the ask (scaffold, rubric, exemplar, remediation), extracts grade-level and subject, normalizes methodology vocabulary.
BM25 sparse + dense vector recall over the publisher's methodology KB filtered by grade band and methodology version.
Cohere Rerank scores retrieved passages by methodology fidelity. Top-k passages assembled into a citation-tagged context window.
Claude generates the lesson scaffold constrained to the retrieved context. GROQ small models stream a draft in parallel for low-latency UX.
Output is scored against the publisher rubric — fidelity, grade-language, methodology vocabulary, citation correctness — before it surfaces.
Lesson lands in the LMS with citations back to source rubric and exemplar. Instructor edits flow to session history in Postgres for replay.
Five segments where the co-pilot has the strongest fit.
A K-12 writing-methodology publisher embeds the co-pilot inside adopting districts' Canvas instances. Teachers generate methodology-faithful mini-lessons from any anchor text in under two minutes.
A higher-ed adaptive-learning platform uses the co-pilot to scaffold remediation content along mastery paths. Time-to-mastery improves 40% on instrumented courses.
A regulated-industry training group rolls a proprietary methodology across 12,000 employees. The co-pilot enforces the methodology in every generated module without manual editorial review.
A professional-certification body uses the co-pilot to draft exam-aligned practice items grounded in the published body of knowledge, with provenance to the source standard for psychometric review.
A language-learning platform grounds generation in a proprietary CEFR-aligned methodology. The co-pilot produces level-faithful prompts and feedback without drifting up or down a band.
Numbers pulled from production deployments, not pilot projections.
Four weeks for the methodology KB, eight weeks for LMS integration and rollout.
Editorial submits rubrics, exemplars, scope-and-sequence, lesson templates. We chunk semantically, embed with OpenAI, store in Qdrant with grade-band and version metadata. Editorial approves every chunk.
LTI 1.3 registration with Canvas / Blackboard, iframe + JS API wiring for LearnWorlds, Clever / ClassLink SSO, OneRoster rostering. Publisher-curated rubric eval set wired into the release gate.
50-200 teacher pilot inside live courses. Retrieval, rerank weights, and prompt scaffolds tuned against pilot disagreements. Editorial spot-checks feed back into eval set.
Full district or platform rollout with usage analytics, version-pinned methodology, immutable audit log, and editorial review queue for new KB chunks.
The questions publisher CTOs and district CIOs actually ask.
We'll scope your methodology KB, map the LTI integration, and quote the 12-week build on a single engineering call.
Engineers in US, UAE & Pakistan · 50+ projects delivered · 4 production AI products