Vidext turns a single prompt into a structured learning path — outline, narrated slides, and AI-generated imagery — grounded in the organization's own documents. Built for agents: the Vidext Operator is available over a remote MCP endpoint.

Does Vidext support AI agents?

Yes. Vidext Operator exposes a remote MCP endpoint, OAuth discovery metadata, OpenAPI documentation, and llms.txt resources for agent clients at https://staging.vidext.com.

How is Vidext different from an LMS?

Vidext focuses on generating and maintaining document-grounded learning paths. LMS platforms such as Canvas, Moodle, and Brightspace focus on hosting, enrollment, assignment, and grade workflows.

Welcome to Vidext

Effortless learning.
Powerful storytelling.
One prompt.

Turn company knowledge into learning that sticks.

Vidext — AI learning orchestrator

Vidext is a multi-tenant SaaS that turns scattered organizational content — documents, presentations, transcripts — into structured, adaptive learning paths. A single prompt kicks off an operator workflow that generates a course outline, expands each lesson into narrated slides with AI-generated imagery, and delivers the result as slides, a narrated listen-through, or a video.

AI learning path generator for employee training

L&D, HR, enablement, and customer education teams use Vidext for onboarding, compliance training, product training, partner enablement, and internal knowledge transfer. A module-scoped AI tutor answers learner questions grounded in the course's own documents and runs comprehension checks.

Read the employee training generator guide

Competitive positioning

Vidext differs from LMS platforms such as Canvas, Moodle, and Brightspace by focusing on source-grounded content generation and agentic rebuild workflows. It differs from workflow-video tools and generic AI course builders by combining document grounding, multi-format lesson output, tutoring, and MCP-native access.

Compare Vidext with LMS and AI course builder alternatives

Core capabilities

Operator Workflow — Agentic workflow that turns a single prompt into a full learning path. Runs in three phases: outline generation, plan approval, and the content builder that expands each lesson into scenes with slide copy, AI-generated imagery, and voiced narration. Available from the dashboard and over remote MCP.

Document Intelligence — Upload source materials such as documents, presentations, and transcripts. Each file is chunked and embedded into a vector index so downstream agents retrieve relevant passages during outline generation and tutoring.

Multi-format Content — Every generated lesson is produced as slides, scripted narration, and synthesized voice audio, so the same learning path can be consumed as a deck or a narrated video.

Adaptive Learning — A module-scoped AI tutor walks each learner through their assigned path, answers questions grounded in the course's own documents, and runs comprehension checks.

Multi-tenant Workspaces — Organization → Team → Module hierarchy with role-based access enforced across the dashboard, tRPC API, and MCP endpoint.

Internationalization — English is the source of truth for both product copy and course content; an automated translation pipeline produces additional locales.

Agent-ready developer resources

/llms.txt — structured product context for LLMs

/.well-known/mcp — MCP server discovery

/api/mcp/operator — Vidext Operator MCP endpoint

/developers — public integration guide for MCP and OAuth onboarding

/openapi.json — machine-readable public API and auth surface

/.well-known/api-catalog — API catalog for machine discovery

/server.json — registry-ready MCP server definition