Morning Local Brief
Local newsrooms produce valuable stories that go unread because audiences lack time and prefer video. A daily video briefing that uses the paper's own columnist voice and local story selection, creating a personal connection no generic news aggregator can match.
01The offer
For editors at mid-sized local newspapers, turn daily article feeds and columnist voices into personalised morning video briefings. Address the problem: local newsrooms produce valuable stories that go unread because audiences lack time and prefer video. The value hypothesis is a new engagement channel that retains subscribers and attracts younger readers; the pilot must establish whether daily video briefings increase readership and retention.
- For
- Editors at mid-sized local newspapers
- Takes in
- Daily article feeds, columnist voice samples, reader preference data
- Delivers
- Personalised morning video briefings delivered via app or email
- Message
- Your local paper, read to you every morning in a personal video.
- Lead magnet
- A free sample video briefing generated from a newspaper's recent articles.
02How it works
- Ingest articles from CMS feeds
- Score stories against reader interests
- Generate narration scripts with key quotes
- Create or pull relevant imagery
- Compile video with voice clone
- Schedule and deliver to subscribers
Workflow
Pull digital edition, score articles, select top stories, generate scripts, produce visuals and narration, compile video, and deliver to subscribers. Start with daily article feeds and columnist voice samples and finish with personalised morning video briefings.
AI and people
AI reads articles, extracts key quotes, generates scripts, creates or selects imagery, and synthesises narration using a consented voice clone. A human editor reviews each video for factual accuracy, tone, and pronunciation before delivery.
Screens
Key screens: Article intake, story selection, script editor, video preview, delivery dashboard. Use a queue of ingested articles with metadata, a scoring panel for topic match, a script editor with narration preview, a video preview with generated visuals and voice, and a dashboard showing delivery status and viewer engagement. In this product, the first view is article intake, followed by story selection, script editor, video preview, and delivery dashboard.
Admin
Editor accounts, article ingestion logs, script versions, video approval states, delivery records, subscriber preferences, and audit trail for all generated content.
03Market gap
Alternatives buyers use today
Text newsletters, generic news apps, and broadcast news; this differs by offering a personalised, voice-narrated video that feels local and trusted.
Where this wins
Accumulated reader preference data and proprietary voice cloning licences create switching costs; each paper's unique voice and story mix become harder to replicate over time.
04Why now
Marketing teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. The buyer already feels the problem: local newsrooms produce valuable stories that go unread because audiences lack time and prefer video.
05Proof & signals
Channels where buyers gather: Newspaper industry conferences, digital publishing forums, and direct outreach to local newspaper editors.. Metrics that prove it works: Daily video views per subscriber and subscriber retention rate after 30 days..
Paid pilot
Paid pilot with one mid-sized newspaper: measure subscriber engagement (video views, time watched) against baseline text readership. Decision: if video briefings increase daily active readers by 20%, proceed to multi-paper rollout.
06Execution plan
MVP
Single-paper pilot: ingest one newspaper's daily output, use a generic narrator, produce a single 3-minute video covering top 5 stories, deliver via private YouTube link at 7 a.m. Manual review of each video before sending.
First 30 days
Week 1: Build article ingestion and scoring. Week 2: Develop script generation and video compilation. Week 3: Set up delivery and manual review workflow. Week 4: Run pilot with one newspaper and collect feedback.
After the pilot
Automate personalisation based on reader topics, add voice cloning with columnist consent, integrate with newspaper apps, and scale to multiple publications with white-label licensing.
Retention
Recurring daily videos keep subscribers engaged; add personalisation and columnist voice to increase loyalty and reduce churn.
Integrations
Newspaper CMS (e.g., WordPress), email delivery (e.g., SendGrid), video hosting (e.g., YouTube), and subscriber management (e.g., Stripe).
07Investment and running costs
| Phase | Scope | Time | Budget |
|---|---|---|---|
| MVP | One buyer segment, one recurring use case. Manual review in the loop. | 6 days | $10,000 |
| Paid pilot | Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers. | 7 days | $13,000 |
| Full product | Self-serve onboarding, billing, monitoring and the wider integration set. | 2 weeks | $17,500 |
| Total | $40,500 | ||
| Running | Hosting | AI usage | Total a month |
|---|---|---|---|
| MVP and paid pilot (about 3 customers) | $30–$60 | $70–$140 | $100–$200 |
| Full product (about 50 customers) | $110–$210 | $700–$1,400 | $810–$1,610 |
Revenue model to test
Test $5/month per reader subscription and $2 per subscriber per month for white-label licensing to newspaper chains.
Cost drivers
AI video generation, voice cloning licensing, cloud storage, and editorial review time.
Safeguards
Limit voice cloning to consented columnists, require human review of all videos, restrict personalisation to explicit preferences, and ensure no content is published without editorial approval. Must not generate videos without human sign-off.
Take it further
Solution blueprint, rewritten from an earlier Nexibeo concept. Demand, pricing, build scope and integrations are working assumptions, not verified market findings. The MVP and the paid pilot exist to confirm them for your business before the larger build.