
Source video and draft content workbench
Reduce rewatch and rewrite time while keeping every claim tied to its source.
- For
- Marketing teams and content producers working from recorded video
- Solves
- Video knowledge sits in recordings while drafts are written separately, so teams rewatch footage, lose source links and rent several tools.
- Delivers
- Editor-approved summaries, answers and draft content linked to source timestamps
- Built in
- about 5 weeks of creation time, MVP in 5 days
- Investment
- $13,000 for the MVP, $44,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
Reduce rewatch and rewrite time while keeping every claim tied to its source.
- Upload recordings and index them on arrival.
- Transcribe speech and detect visual scenes.
- Answer natural language questions about a video.
- Summarize one video with timestamped points.
- Summarize several videos into one cohesive brief.
- Generate new video content from chat commands.
- Suggest content angles to overcome writer's block.
- Edit grammar, style and clarity of drafts.
- Apply templates for blogs, emails and social posts.
- Let several users edit the same draft.
- Connect to publishing and storage platforms.
- Compare the reviewed result with the recorded baseline and value assumptions.
- Capture corrections and named-owner approval before consequential use.
- Export a versioned editor-approved summary, answer or draft with source references and unresolved questions.
Everything these tools do, in one app
- Video question answering Lets users ask natural language questions about video content and get answers.Found in Memories.ai, videoGPT
- Video summarization Generates concise summaries of videos.Found in Memories.ai, videoGPT
- Visual scene analysis Analyzes visual elements in videos, not just subtitles or captions.Found in Memories.ai, videoGPT
- Instant video indexing Indexes videos immediately upon upload without reprocessing.Found in Memories.ai
- Multi-video summarization Organizes information from multiple videos into cohesive summaries.Found in Memories.ai
- AI video creation Generates new video content through chat commands.Found in Memories.ai
- AI content suggestions Provides AI-generated suggestions to help overcome writer's block.Found in Remy
- Writing editing tools Improves grammar, style, and clarity of written material.Found in Remy
- Customizable templates Offers templates for various writing needs such as blogs, emails, and social media posts.Found in Remy
- Collaboration features Allows multiple users to work on content simultaneously.Found in Remy
- Platform integrations Integrates with popular platforms for seamless workflow.Found in Remy
- Free tier Provides a free plan with limited features.Found in Memories.ai, videoGPT, Remy
- Pro/paid plans Offers paid subscriptions that unlock advanced functionalities.Found in videoGPT, Remy
- Chrome extension Upcoming browser extension to enhance desktop usability.Found in videoGPT
- Desktop-only use Currently limited to desktop use, not optimized for mobile devices.Found in videoGPT
- Manual video upload Requires users to manually upload videos.Found in Memories.ai
- No YouTube integration Does not support direct YouTube link integration.Found in Memories.ai
What goes in, what comes out
- Uploaded recordings
- Transcripts
- Visual scenes
- Brand templates
AI drafts, people review. Source-based content workspace with editorial delivery.
- Editor-approved summaries
- Answers
- Draft content linked to source timestamps
How it works
The workflow
- InStart with
Uploaded recordings, transcripts, visual scenes and brand templates
- 1
Confirm the buyer's problem and scope
- 2
Collect uploaded recordings
- 3
Transcripts
- 4
Visual scenes and brand templates
- 5
Then follow this sequence: 1
- OutFinish with
Editor-approved summaries, answers and draft content linked to source timestamps
AI does the heavy lifting, people stay in charge
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved upload format and licensed template set; final editorial and publication checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
What your team sees
Primary screens: Source library and upload, Question and summary workspace, Draft editor and delivery. Use a thumbnail gallery for videos, a large central transcript and scene canvas, and a right-hand panel for questions, sources and comments. Let users compare draft versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant timestamp or paragraph. Make the task-specific outcome editor-approved summaries, answers and draft content linked to source timestamps visible beside its evidence, review state and value baseline.
Accounts and administration
Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.
Integrations and data access
Customer-owned recordings, authorized transcripts and permitted research sources. Cloud asset storage, publishing destinations and social platforms. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
How we build it
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
Scoping call
Day 1Thirty 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
MVP
5 daysOne buyer segment, one recurring use case; first modules: upload recordings and index them on arrival; transcribe speech and detect visual scenes. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
6 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
2 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe 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.
- Pick the riskiest assumption. Here: will marketing teams and content producers working from recorded video use it to solve "video knowledge sits in recordings while drafts are written separately, so teams rewatch footage, lose source links and rent several tools"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted drafts per production hour and source-link accuracy.
- Measure, then decide. Track accepted drafts per production hour and source-link accuracy; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Pilot scope: One approved upload format and licensed template set; final editorial and publication checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: upload recordings and index them on arrival; transcribe speech and detect visual scenes. Support the remaining modules with operator review: question answering, single and multi-video summarization, draft generation, editing, templates, collaboration and platform export. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around editor-approved summaries, answers and draft content linked to source timestamps. Retain the explicit scope boundary: One approved upload format and licensed template set; final editorial and publication checks remain human.
What the build depends on. Asset upload and preview, asynchronous processing jobs, editable version history, reviewer access and tested export formats. High-fidelity video work requires specialist creative QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved upload format and licensed template set; final editorial and publication checks remain human.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: upload recordings and index them on arrival; transcribe speech and detect visual scenes. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$44,000about 5 weeks of creation time · start with the MVP from $13,000
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.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $70–$140 | $100–$200 |
| Full productabout 50 customers | $110–$210 | $700–$1,400 | $810–$1,610 |
Run it or resell it
For your own team
Marketing teams and content producers working from recorded video run it inside the business: uploaded recordings, transcripts, visual scenes and brand templates in, editor-approved summaries, answers and draft content linked to source timestamps out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#273891 - accent
#c7c954 - surface
#e4e7f1 - ink
#22201e
- Headings
- Space Grotesk
- Text
- Inter
- Voice
- Energetic, specific, results-minded
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test a USD 300-1,500 fixed pilot for one defined content package. Offer a monthly production allowance after repeat demand. Quote complex video production or specialist editorial work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded editor-approved summary, answer or draft set. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.
Message to test
Reduce rewatch and rewrite time while keeping every claim tied to its source. Demonstrate a concrete editor-approved summary, answer or draft using the buyer's approved example and show the baseline, corrections and actual delivery effort.
Where to find buyers
Marketing teams and content producers working from recorded video professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.
Lead magnet
A reviewed sample editor-approved summary, answer or draft from a small authorized input set, with a transparent calculation of accepted drafts per production hour and source-link accuracy and no promised savings.
The first 30 days
- Week 1: interview five marketing teams and content producers working from recorded video and inspect a recent example of video knowledge sitting in recordings while drafts are written separately.
- Week 2: prepare a consented or synthetic demonstration of the three task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- Week 4: measure accepted drafts per production hour and source-link accuracy, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.
Paid pilot
Agree quality and outcome thresholds before the pilot using this measure: Accepted drafts per production hour and source-link accuracy. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.
Success metrics
Accepted drafts per production hour and source-link accuracy; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.
Retention and expansion
Repeat the workflow when the buyer again needs editor-approved summaries, answers and draft content linked to source timestamps. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.
Why clients would pick it
A reusable library of approved templates, brand constraints and review examples, together with reliable delivery for a narrow content niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for marketing teams and content producers working from recorded video. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
Memories.ai, videoGPT and Remy, plus manual rewatch, generic transcription tools and existing writing applications. Compare this product with the buyer's present method on accepted drafts per production hour and source-link accuracy. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.
Main delivery costs
Transcription, video processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of editor-approved summaries, answers and draft content linked to source timestamps. Track cost per accepted output, including correction work, unsuccessful cases and support.
Safeguards
Preserve brand voice, source attribution, quotation accuracy and usage permissions. Named editors approve substantive changes and publication scope. One approved upload format and licensed template set; final editorial and publication checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.