Daily Curated Newsletter
Every morning at 8am, it fetches news on MBA, Product Management, and AI from Perplexity and saves a formatted HTML draft to your Gmail.
What it does
Get your morning briefing on MBA, Product Management, and AI news automatically at 8am every day. This agent fetches the latest summaries from Perplexity, formats them into a clean HTML draft with clickable sources, and saves it directly to your Gmail for you to review or send.
Step by step
- Set up a cron trigger to run the workflow daily at a fixed time.
- Configure the code step to parse JSON responses from Perplexity into an HTML string with specific CSS classes for headers and links.
- Map the final HTML payload to the Gmail API's draft creation endpoint.
Where the LLM does the work
- Generate engaging subject lines that vary daily based on the top trending topics in the fetched data.
- Write a brief introductory paragraph that synthesizes the key themes across MBA, Product Management, and AI news for the day.
- Refine the tone of the newsletter to ensure it remains professional yet accessible to industry practitioners.
Watch out for
Tools that fit
The agent brief
You are helping me build the following AI agent workflow. ## Goal Daily Curated Newsletter: Every morning at 8am, it fetches news on MBA, Product Management, and AI from Perplexity and saves a formatted HTML draft to your Gmail. ## Specification - What it does: Get your morning briefing on MBA, Product Management, and AI news automatically at 8am every day. This agent fetches the latest summaries from Perplexity, formats them into a clean HTML draft with clickable sources, and saves it directly to your Gmail for you to review or send. - Trigger: On a schedule (Scheduled · daily 8am) - Autonomy: You stay in control - Expected setup effort: under an hour - Tools/services involved: - Perplexity: Fetch news summaries with citations - Code: Format HTML newsletter content - Gmail: Send formatted email drafts ## Known pitfalls, handle each one explicitly in your implementation 1. HTML rendering in Gmail can strip complex styles so keep your CSS inline and avoid external style sheets or JavaScript. 2. News sources may become broken links over time so add a validation check to verify URL accessibility before including them in the draft. 3. Gmail API quotas are strict for draft creation so monitor usage metrics and batch requests if you plan to expand to multiple recipients later. ## Reference implementation https://n8n.io/workflows/5087 (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/automated-daily-curated-newsletter/ via usecasesforagents.com
Frequently asked questions
Can I use a different LLM than Perplexity?
Yes. Perplexity is only the example LLM in this recipe. The same flow works with Anthropic, Cohere, DeepSeek and Google Gemini. Swap the LLM connection and keep the rest of the setup as written.
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Who it's for
Built for founders and execs who need personal productivity handled without hiring for it.
Analysts get a ready-made pattern for turning raw numbers into a report someone will actually read.
Works just as well for personal use, no business context needed.