Morning Brief Video

For

Operations leads and chiefs of staff at companies with 50 to 200 people

Solves

Every morning, you lose 45 minutes scanning Slack, email, news, and dashboards to piece together what happened overnight.

Delivers

Two-minute narrated video brief with chapter markers and direct source links

Built in

about 3 weeks of creation time, MVP in 3 days

Investment

$6,000 for the MVP, $19,000 for the full product

Run it

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

For operations leads and chiefs of staff, turn calendar, Slack, email, and public sources into a two-minute narrated video brief with chapter markers and source links.

1. Connect calendar, Slack, email, and public sources.
2. Schedule nightly scraping and analysis.
3. Generate a script from top three to five relevant items.
4. Create a narrated video with synthetic voice and avatar.
5. Deliver via private link at a set time.
6. Allow follow-up questions that return clipped source segments.

What goes in, what comes out

The workflow

1. In
   Start with

   Calendar, Slack, email, and public sources (competitors, regulators, clients, markets)

2. 1

   Connect sources

3. 2

   Set preferences

4. 3

   Nightly analysis

5. 4

   Script generation

6. 5

   Video creation

7. 6

   Delivery

8. 7

   Follow-up

9. Out
   Finish with

   Two-minute narrated video brief with chapter markers and direct source links

AI does the heavy lifting, people stay in charge

AI watches videos, reads documents, and listens to audio to extract relevant items based on calendar and projects. It generates a script and synthesizes a presenter. A human checks relevance and accuracy of the script and video before delivery.

What your team sees

Key screens: Dashboard, Source setup, Video player. Use a dashboard showing today's brief and a list of past briefs. The source setup screen lets users connect calendar, Slack, email, and select public sources. The video player shows the narrated brief with chapter markers and clickable source links. In this product, the first view is the dashboard, followed by source setup and video player.

Accounts and administration

User accounts, source permissions, video version history, delivery logs, and audit trail of AI-generated content.

Integrations and data access

Google Calendar, Outlook, Slack, Gmail, Microsoft 365, and public RSS feeds.

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

   3 days

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

3. 3

   Paid pilot

   4 days

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

4. 4

   Full product

   6 days

   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 operations leads and chiefs of staff at companies with 50 to 200 people use it to solve "every morning, you lose 45 minutes scanning Slack, email, news, and dashboards to piece together what happened overnight"?
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 paid pilot with one operations lead for two weeks.
4. Measure, then decide. Track time saved per user per day and and percentage of critical items correctly identified in the brief. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. One buyer (operations lead), one use case (daily morning brief), first two modules (source connection and video generation), manual review of script and video before delivery.

After the MVP. Automate the review process with confidence scoring and user feedback loops to improve relevance over time.

What the build depends on. Access to language models, vision models, synthetic voice and video generation APIs, and secure data handling 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

Test pricing at $49 per seat per month, with a free tier for generic industry briefs and paid plans for personal agent and custom sources.

Message to test

Wake up to a two-minute video that tells you exactly what changed overnight, so you can start your day informed.

Where to find buyers

LinkedIn, industry newsletters, and direct outreach to operations leads and chiefs of staff.

Lead magnet

A free one-week trial with a sample brief based on your calendar and sources.

The first 30 days

1. Week 1: Build source connectors and basic analysis.
2. Week 2: Generate script and video with synthetic voice.
3. Week 3: Deliver via email link and test with one pilot user.
4. Week 4: Iterate on relevance and add follow-up questions.

Paid pilot

Run a paid pilot with one operations lead for two weeks. Measure time saved and accuracy of briefs compared to manual summary. Success if user adopts it daily and reports at least 30 minutes saved per day.

Success metrics

Time saved per user per day, and percentage of critical items correctly identified in the brief.

Retention and expansion

The daily habit becomes sticky as users rely on the brief and provide feedback that improves relevance, reducing churn.

Why clients would pick it

The relevance filter improves with each user interaction, making the product more accurate and harder to replicate as data accumulates.

Alternatives and positioning

Manual summary by a junior team member, RSS readers, or checking multiple apps individually. This differs by automating the entire process into a single video.

Main delivery costs

Cloud compute for AI inference, video generation, storage, and support staff.

Users control which sources are included and can exclude sensitive data. The AI must not access private messages without explicit permission, and all data is encrypted in transit and at rest. Human review ensures no misinformation is delivered.