Training video production has a cost problem.
A finished minute of professional corporate video — factoring in crew, studio time, talent, and editing — can run anywhere from $1,000 to $5,000. And more importantly: it is rigid. The moment something changes, you either live with outdated content or restart the process.
But the real limitation is not cost. It is iteration speed and scalability.
This is where Tellers fundamentally changes the model.
From Video Tool to Video Agent
Tellers is not just a video generation tool. It is an agent that builds and edits videos with you.
Instead of manually stitching together assets across multiple tools, you interact with a system that can:
- Generate video, voiceovers, music, and visual elements
- Edit both your own footage and generated footage
- Search through thousands of hours of your archives
- Fetch and integrate relevant royalty-free stock footage
- Keep everything editable, reusable, and structured
All of this happens inside a real-time video environment powered by Tellers’ in-house player — so you see results immediately, not after export.
A Different Workflow: Conversation → System → Timeline
The core interface is not a timeline. It is a conversation.
You can:
- Start with a rough idea
- Provide a detailed script
- Iterate scene by scene
- Give feedback on generated outputs
- Or let the agent guide you with questions
Under the hood, the agent:
- Selects the right models for each task (video, voice, music, etc.)
- Generates or retrieves the right assets
- Assembles them into a coherent timeline
- Keeps everything editable at every step
The timeline becomes the result of the interaction, not the starting point.
Working With Existing Footage (Not Replacing It)
Most training content is not purely synthetic.
Tellers is designed to work with:
- Raw footage
- Product demos
- Screen recordings
- Large media archives
Instead of manually scrubbing through hours of content, you can:
- Ask for specific moments
- Search semantically
- Let the agent propose relevant clips
This is especially valuable for teams sitting on years of unused training or product footage.
Generation When It Adds Value
When content is missing, the agent fills the gaps:
- Generate illustrative scenes
- Animate product screenshots
- Create voiceovers aligned with your script
- Add music and pacing automatically
But importantly: generation is just one tool in the system, not the core product.
A Practical Example: Training Module Creation
Let’s take a typical onboarding module.
1. Start with a script or idea
You can paste a full script or just describe the goal.
2. The agent structures the video
It breaks it into scenes, proposes visuals, and asks for clarification if needed.
3. Asset sourcing (automatic)
For each scene, the agent:
- Searches your footage
- Pulls stock clips if relevant
- Generates missing visuals when necessary
4. Timeline assembly in real time
Clips, voiceover, and music are added directly to the timeline — visible immediately.
5. Iterate by chatting
“Make this shorter”
“Use real footage here instead”
“Change tone to more formal”
The system updates the video accordingly.
From One Video to Many
Where this becomes powerful is scale.
Because the workflow is structured and programmable:
- One script can generate multiple variations
- Content can be adapted by:
- Region
- Language
- Audience
- Updates do not require reshooting — just regeneration and re-editing
Through the API, this becomes a video production system, not just a tool.
Why This Matters for Training Teams
The bottleneck is no longer production capacity.
It becomes:
- Content quality
- Instructional design
- Clarity of messaging
Everything else — sourcing footage, editing, rendering, adapting — is handled by the system.
Frequently Asked Questions
Do I need to know video editing?
No. You can operate entirely through conversation. The agent handles technical execution.
Can I still control everything precisely?
Yes. You can provide detailed scripts, instructions, or constraints — the agent will follow them closely.
Can I reuse assets and edits?
Yes. All elements remain editable and reusable across projects.
Is this only for generated content?
No. Tellers is designed to combine generated content, stock footage, and your own media seamlessly.
Can this scale across many videos?
Yes. With the API, the same workflow can generate large volumes of variations programmatically.
Can I use Tellers with Claude, OpenAI Codex, or similar AI coding agents?
Yes. You can install the Tellers agent skill and use it directly from environments like Claude, Codex, or other AI copilots to generate and edit videos programmatically.
How do I integrate Tellers into my existing AI workflows or tools?
Tellers exposes agent skills that can be plugged into external AI systems. Once installed, these systems can call Tellers to generate footage, assemble timelines, and manage video workflows as part of a larger automated pipeline.
If your training content already exists as documents, slides, or raw footage, the challenge is no longer “how to produce a video.”
It is how to turn that content into a flexible, scalable video system.
That is what Tellers is built for.