AI Video Creation Agent

For

Marketing leads at small to medium businesses

Solves

Hiring a full-time video specialist costs too much for most small teams. You need consistent video output but the salary, equipment, and management overhead make it impossible.

Delivers

Finished video with captions, voiceover and background music

Built in

about 4 weeks of creation time, MVP in 5 days

Investment

$9,000 for the MVP, $34,500 for the full product

Run it

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

For marketing leads at small to medium businesses, turn plain language briefs into finished social media videos.

1. Interpret brief requirements including tone and length.
2. Research topics and write scripts.
3. Generate visual storyboards and plans.
4. Source or generate video clips and apply voiceovers.
5. Add captions and background music.
6. Review and approve the final cut.

What goes in, what comes out

The workflow

1. In
   Start with

   Plain language brief, tone, length and platform requirements

2. 1

   Submit a brief

3. 2

   Review the visual plan

4. 3

   Approve the plan

5. 4

   Generate the video

6. 5

   Request revisions

7. 6

   Final approval

8. 7

   Publish or export

9. Out
   Finish with

   Finished video with captions, voiceover and background music

AI does the heavy lifting, people stay in charge

Use multimodal agents to research topics, write scripts, generate storyboards and source or create video clips. Apply AI voiceovers and music. A human reviewer validates the creative direction and final output before publishing.

What your team sees

Key screens: Brief intake, visual planning, editing studio, final review. Use a simple form for brief intake, a storyboard canvas for the visual plan, a timeline editor for clips and audio, and a review tab for approvals. Display draft, revision requested and approved states. Provide a preview player with captions and music levels. The first view is the brief intake screen.

Accounts and administration

Project ownership, video versions, approval states, revision limits, usage rights and an audit trail of all generated assets.

Integrations and data access

Social media publishing platforms, brand style guides and content calendars.

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 marketing leads at small to medium businesses use it to solve "hiring a full-time video specialist costs too much for most small teams. You need consistent video output but the salary, equipment, and management overhead make it impossible"?
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. Compare the time and cost of producing one video manually versus using the agent to establish a baseline efficiency gain.
4. Measure, then decide. Track number of videos produced per month and reduction in production time per video. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. A web form for briefs, a 60-second video generation for product explainers on one platform, and manual review of the first draft.

After the MVP. Automate the research and scripting phase, expand to multiple video types and platforms, and integrate with social media publishing tools.

What the build depends on. Multimodal LLMs, text-to-video generation APIs and cloud rendering infrastructure.

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

Monthly subscription with a set number of videos included. Overage is charged per video.

Message to test

Get a full-time video team for the price of a subscription.

Where to find buyers

Marketing blogs, LinkedIn, SaaS directories.

Lead magnet

A free 60-second video sample based on their own brief.

The first 30 days

1. Week 1: Set up the brief intake form and integrate brand guidelines.
2. Week 2: Generate the first batch of videos and refine the creative parameters.
3. Week 3: Train the agent on specific video types and gather feedback.
4. Week 4: Launch the pilot to a small internal team and measure output quality.

Paid pilot

Compare the time and cost of producing one video manually versus using the agent to establish a baseline efficiency gain.

Success metrics

Number of videos produced per month and reduction in production time per video.

Retention and expansion

Retain customers by offering tiered plans for higher volume and advanced features like custom voice cloning.

Why clients would pick it

Defensibility comes from fine-tuning the agent on specific brand voices and creative styles, which becomes harder to replicate as the dataset grows.

Alternatives and positioning

People use full-time editors, expensive agencies or manual editing tools. This differs by automating the entire pipeline from brief to final cut.

Main delivery costs

Inference costs for AI models and cloud storage for generated assets.

Strict brand safety filters, content moderation for generated clips and limits on the number of revisions per request.