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Here’s the fifteenth edition of Workflows Weekly, with a few workflows, tools, and ideas you want to rely on

Let's get into it.

Using AI for content sounds great in theory.

In practice, fully AI-written content rarely works on its own.

This Human-in-the-Loop Content Operating System shows how to use AI without losing quality.

In this playbook, we show how to:

  • find content ideas using tools like Favikon, Sybill, beehiiv, and Sandcastles

  • use AI to support writing instead of replacing it

  • turn drafts into finished assets with writers, designers, and editors

  • manage content production inside Notion

  • distribute across LinkedIn, email, blog, and YouTube

  • review performance and double down on what works

2. Which AI tool you should look into

Landbase is building an AI layer for go-to-market.

Instead of manually stitching together data, enrichment, scoring, and outreach, it runs the entire flow in one system.

You can:

  • find high-fit accounts based on your ICP

  • qualify and score them using real signals

  • enrich contacts and company data automatically

  • prioritize who sales should focus on

  • trigger workflows without rebuilding lists

β†’ Explore Landbase

3. What GTM resource we found useful

This breakdown by Eric Nowoslawski covers cold email tactics backed by actual performance data.

Some of the key takeaways:

  • keep emails around 70–90 words

  • limit sequences to 2–3 emails

  • use simple subject lines that match how people actually write

  • focus on value instead of pushing for a call immediately

  • avoid generic AI personalization

There’s also useful data on timing, industries, and reply benchmarks.

Good reference if you’re running outbound and want to tighten your emails.

4. AI news of the week

Claude just introduced Cowork Dispatch.

It lets you assign tasks to Claude from your phone, while the work runs on your computer.

Instead of starting new chats every time, you get one continuous thread that keeps context across tasks.

You can:

  • ask Claude to work on local files

  • pull data from connected tools like Slack or Google Drive

  • generate reports, summaries, or presentations

  • pick up the same task later from desktop or mobile

You send the task, step away, and come back to the finished output.

It’s still in research preview, but it’s a step toward AI handling longer-running work across devices.

β†’ Read more

That’s a wrap for this week.

What part of your content or GTM workflow feels hardest to manage right now?

Hit reply and let us know. We’ll break it down in a future issue.

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