Daily Domain Video Studio

For

L&D managers and content leads at e-learning platforms and trade publishers

Solves

Daily video channels for a niche domain go stale without a production team.

Delivers

A daily on-brand video with script, voiceover or avatar, and a versioned archive

Built in

about 5 weeks of creation time, MVP in 5 days

Investment

$9,500 for the MVP, $38,000 for the full product

Run it

Inside your business, or as part of your offer to clients

For L&D managers and content leads at e-learning platforms and trade publishers, turn a domain definition, brand assets and reference material into a reviewed, on-brand video published every day.

1. Ingest domain briefs, style guides and brand assets.
2. Scan sources daily for topics and draft scripts.
3. Generate voiceover or avatar video with supplied assets.
4. Enforce brand rules on tone, length and visuals.
5. Route each video through human review before publishing.
6. Publish to chosen channels and archive versions.

What goes in, what comes out

The workflow

1. In
   Start with

   Domain description, style guides, brand assets, reference documents, source feeds and channel preferences

2. 1

   Define the domain

3. 2

   Upload brand assets and references

4. 3

   Let the agent pick a daily topic

5. 4

   Review the drafted script

6. 5

   Generate the video

7. 6

   Approve or request changes

8. 7

   Publish to the chosen channel

9. Out
   Finish with

   A daily on-brand video with script, voiceover or avatar, and a versioned archive

AI does the heavy lifting, people stay in charge

Language models research the domain, select topics and write scripts; voice and avatar models generate narration and presenters; visual assembly mixes stock or generated footage with client assets. A human reviewer checks factual accuracy, domain nuance, voice quality and brand fit before anything is published.

What your team sees

Key screens: Channel dashboard, video canvas, approval queue. Use a calendar-style dashboard showing scheduled and published videos per channel, a central preview player with script and scene timeline, and a right-hand panel for brand rules, sources and comments. Let reviewers compare script drafts and video versions side by side. Display drafted, pending approval, approved and published states. Provide a private preview link with comments anchored to timestamps. In this product, the first view is channel dashboard, followed by video canvas and approval queue.

Accounts and administration

Channel ownership, role-based permissions, script and video versions, approval states, reviewer comments, publishing log and an audit trail of sources used per video.

Integrations and data access

Start with file upload and a private viewing link, then add YouTube, Vimeo, learning management systems and Slack or email notifications.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   5 days

   One buyer segment, one recurring use case. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   2 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will L&D managers and content leads at e-learning platforms and trade publishers use it to solve "daily video channels for a niche domain go stale without a production team"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Run a two-week paid pilot producing daily videos against a baseline of the client's current output cost and cadence, then decide whether to continue based on review time per video, acceptance rate and whether daily publishing is sustained without extra client effort.
4. Measure, then decide. Track average reviewer minutes per published video; percentage of videos approved without changes. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. First cut for corporate L&D teams: one channel producing a daily two-minute avatar video from a single text source, with script drafting and video generation modules and mandatory manual review before publishing to a private link.

After the MVP. After the paid pilot, automate topic selection across multiple sources, add multi-channel distribution, custom avatar training, longer formats and scheduled batch production with spot-check review instead of full review.

What the build depends on. Reliable speech and avatar models, script generation models, video assembly pipeline, stock asset licensing and a stable scheduling and publishing service.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Hypothesis: subscription per domain channel from 500 USD per month for one daily short video, scaling with length, custom avatars and extra channels.

Message to test

Publish a fresh, on-brand video in your niche every day without hiring a production team.

Where to find buyers

L&D and e-learning communities, corporate training conferences, trade publishing associations and LinkedIn content marketing groups.

Lead magnet

A free one-week sample channel producing five daily videos from the client's own domain brief.

The first 30 days

1. Week 1: build the ingestion flow for briefs, assets and sources, and the daily topic and script drafting step.
2. Week 2: integrate voice and avatar generation and assemble a two-minute video automatically.
3. Week 3: add the review queue with comments, versions and approval states, plus a private daily link.
4. Week 4: run a pilot channel for one client, tune voice quality and reliability, and measure review time and output consistency.

Paid pilot

Run a two-week paid pilot producing daily videos against a baseline of the client's current output cost and cadence, then decide whether to continue based on review time per video, acceptance rate and whether daily publishing is sustained without extra client effort.

Success metrics

Average reviewer minutes per published video; percentage of videos approved without changes.

Retention and expansion

Daily publishing creates an ongoing subscription per channel, with expansion through extra channels, longer formats and custom avatars that raise switching costs.

Why clients would pick it

Accumulated domain source libraries, brand rules and reviewer feedback per client make output quality and fit progressively harder for a generic video tool to match.

Alternatives and positioning

Teams today use agencies, freelance editors or ad hoc in-house shoots, which are costly and hard to sustain daily; generic text-to-video tools still need someone to script, brand and publish each item.

Main delivery costs

Inference for scripts, voice and video generation, stock footage licensing, review labour, hosting and delivery infrastructure.

Role-based access, mandatory review before publishing by default, brand rule enforcement, source logging per script, banned-topic lists and a hard rule that the system must not publish unreviewed content or make factual claims outside supplied sources without reviewer sign-off.