Daily Marketing Brief Agent

For

Marketing directors at B2B SaaS companies

Solves

Marketing playbooks go stale between updates and teams waste budget on tactics that quietly stopped working.

Delivers

Daily one-page brief, two-minute voice summary, one recommended experiment, source citations and weekly adoption history

Built in

10 days of creation time, MVP in 2 days

Investment

$5,000 for the MVP, $15,500 for the full product

Run it

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

For marketing directors at B2B SaaS companies, turn platform changelogs, competitor ad libraries and campaign context into a daily one-page brief with a two-minute voice summary and one recommended action.

1. Monitor changelogs, help centres and ad libraries of selected platforms and competitors.
2. Rank the three most relevant changes per day for the client's business.
3. Write a one-page brief and two-minute voice script per change.
4. Reference the client's own segments and live campaigns in each brief.
5. Suggest one low-effort experiment per brief.
6. Adjust follow-up briefs based on which actions were ignored or adopted.

What goes in, what comes out

The workflow

1. In
   Start with

   Marketing stack connections, CRM access, competitor and platform watchlist, industry and role context, current campaign goals

2. 1

   Connect the marketing stack

3. 2

   Add competitors and platforms to the watchlist

4. 3

   Confirm priorities

5. 4

   Receive the daily brief

6. 5

   Listen or read the summary

7. 6

   Act on or defer the suggested experiment

8. 7

   Review weekly adoption history

9. Out
   Finish with

   Daily one-page brief, two-minute voice summary, one recommended experiment, source citations and weekly adoption history

AI does the heavy lifting, people stay in charge

Use language models to read release notes, help articles and ad library patterns, then synthesise them into role-specific briefs with reasoning tied to the client's context. Deterministic checks confirm sources resolved and citations present. A human reviewer flags misleading or nonsense summaries before each brief ships, at least during the pilot.

What your team sees

Key screens: Watchlist console, daily brief, action tracker. Use a left-hand panel listing monitored platforms and competitors, a central brief view with the one-page summary and audio player, and a right-hand panel showing why each change was selected with links to sources. Let users mark actions as tried, dismissed or deferred, and show past briefs in a searchable archive. In this product, the first view is daily brief, followed by watchlist console and action tracker.

Accounts and administration

Team accounts with role permissions, watchlist ownership per brand, brief versions and archive, review approval states, source citation log and an audit trail of what was published and when.

Integrations and data access

Start with email delivery and RSS or public changelog pages, then Google Ads and Meta ad libraries, HubSpot or Salesforce CRM, Slack and calendar for delivery timing.

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

   2 days

   One buyer segment, one recurring use case; first modules: watchlist console and daily brief. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   3 days

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

4. 4

   Full product

   5 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 marketing directors at B2B SaaS companies use it to solve "marketing playbooks go stale between updates and teams waste budget on tactics that quietly stopped working"?
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 four weeks with one team at a discounted rate.
4. Measure, then decide. Track brief open or listen rate above 80 percent of working days and and at least one adopted experiment per week per team. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. One marketing team as buyer, one use case: a daily email brief covering the changelogs of their three most-used platforms and one top competitor's public ads. Modules: watchlist console and daily brief. Every brief passes manual review before sending, no voice output and no personalisation beyond industry.

After the MVP. After the paid pilot, automate voice summaries, personalisation against CRM segments and live campaigns, per-brand feeds for larger teams, and adaptive follow-up when briefs are ignored.

What the build depends on. Reliable ingestion of public changelogs and ad libraries, scheduled nightly runs, text to speech for voice summaries, and a review workflow before publication.

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

Flat monthly fee per marketing team, tested at 500 USD per month, with per-brand feeds at 300 USD per additional brand for larger teams.

Message to test

A daily brief that watches every platform change overnight and tells your marketing team the one thing to act on today.

Where to find buyers

B2B SaaS marketing communities, marketing operations newsletters, LinkedIn outreach to marketing directors, and conferences for marketing leaders.

Lead magnet

A free one-week sample brief built from the prospect's three most-used platforms and one competitor, delivered by email.

The first 30 days

1. Week 1: build the watchlist ingestion for three platforms and one competitor and the brief template.
2. Week 2: run nightly generation for one pilot team with manual review of every brief.
3. Week 3: add the archive, action tracking and weekly adoption summary.
4. Week 4: review accuracy and usefulness with the client and agree the paid pilot terms.

Paid pilot

Run four weeks with one team at a discounted rate. Baseline: hours spent weekly reading platform updates and number of tactics adopted from static sources. Decision: if the team reads the brief at least four days a week and acts on at least one suggestion per week, proceed to full pricing.

Success metrics

Brief open or listen rate above 80 percent of working days, and at least one adopted experiment per week per team.

Retention and expansion

The daily habit, the growing archive of past briefs and the adoption history tuned to the team make the service part of the morning routine, and per-brand feeds expand the account.

Why clients would pick it

Each client builds a history of adopted and ignored actions, making the briefs increasingly tuned to that team, and the reviewed source library grows harder to replicate than raw monitoring alone.

Alternatives and positioning

Teams today read platform blogs, changelogs and Twitter threads manually, or buy static courses that date quickly. This differs by watching continuously, writing for the client's specific context and updating itself when sources change.

Main delivery costs

Nightly inference for monitoring and brief generation, human review time, voice synthesis, hosting and integration maintenance.

Every brief carries source citations and a review state before release. Permissions limit who can edit watchlists and approve briefs. The agent must not publish unreviewed claims, act on the client's ad accounts, contact competitors, or use non-public data, and misleading release notes must be flagged rather than summarised faithfully.