Any Operations

Personal News Editor

Curates a daily morning briefing on your chosen topics by running web searches per beat, ranking the top stories, pulling today's calendar agenda, and assembling a structured HTML email. Deduplicates URLs against the past 14 days so the same story never appears twice, and logs every source it ships.

2 template uses · 2 catalog views

Agent snapshot

Built for any work, not a generic template.

2

template uses

2

catalog views

2

integrations used

2

labels matched

Any Operations

Sample input

Build an agent to personal News Editor. Use Google Workspace and Google Docs. Focus on operations. Return a ready-to-review result after each run.

Sample output

Every morning, runs fresh web searches on your beats, pulls today's calendar, and emails a structured HTML brief with the top 4 stories per topic, deduped against the past 14 days.

Workflow brief

Where Personal News Editor fits in a any automation system

Personal News Editor is designed for a specific recurring job: curates a daily morning briefing on your chosen topics by running web searches per beat, ranking the top stories, pulling today's calendar agenda, and assembling a structured HTML email. Deduplicates URLs against the past 14 days so the same story never appears twice, and logs every source it ships. The agent page keeps the workflow concrete by showing the connected apps, the input a team can give Twin, and the output the run is expected to produce.

A team can start from this public template, adjust the instructions, connect the relevant accounts, and schedule the agent once the review path is clear. That makes it useful for repeatable work where the same research, update, summary, or follow-up needs to happen again.

In this setup Twin uses Google Workspace and Google Docs as source systems, action targets, or reporting destinations. The agent can combine those tools with browser automation and API calls when the workflow crosses systems.

What this agent automates

This run includes 6 concrete steps from the published agent data.

Signal 1 · 1

At the configured send time, load the topic list and the URL history table from the agent database

Signal 2 · 2

For each topic, run web search constrained to the recency window and gather candidate stories

Signal 3 · 3

Use Twin AI to rank candidates, drop URLs seen in the dedupe window, and write 2-3 sentence summaries per pick

Signal 4 · 4

If calendar is enabled, pull today's events from the connected workspace and format an agenda block

Signal 5 · 5

Render a structured HTML email with one section per topic plus the agenda, applying the chosen tone

Signal 6 · 6

Send via the connected email account to the configured recipient and append every shipped URL to the history table

Integrations used

Personal News Editor connects Google Workspace and Google Docs.

Google Workspace

Connected in this agent

Google Docs

Connected in this agent

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Plans start at €20/mo

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