Fix This To Scale Content

Hey there 🧠

Ready for another day of staying ahead of the competition in the Growth race?

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Partnership with Modash

Your influencer picks are costing you launches.

Not the content. Not the brief. The roster.

You can nail the strategy, brief the creators perfectly, and still watch a launch flatline. Because the problem isn't execution. It's that the wrong people are on your roster, and you won't know it until the numbers come back empty.

On June 11th, Modash is running a free 3-hour session with the brand-side teams who've cracked this. 

Cadence Melendez, Influencer Marketing at Moroccanoil, Brooks Miller, EVP of Creator Marketing at Edelman, and Eric Ford, formerly Global Communications at L'Oréal, are sharing exactly how they build rosters that move product, not just impressions.

→ The selection signals Edelman uses to separate creators who shift perception from those who just rack up views → Why your highest-reach creators are often your lowest-trust ones, and how L'Oréal's team handles that tradeoff → How Moroccanoil evaluates creator-brand fit beyond niche and audience size, and why most teams skip it 

You'll leave knowing exactly which creators don't belong on your list, and what to do about it before it costs you.

Can't make it live? Register anyway, and they'll send you the replay.

💡 Why Most AI Content Systems Fail At Scale

Anyone can build an AI content workflow. But very few can build one that consistently produces accurate, high-quality output without breaking. The difference is not the tool; it is the system behind it.

Here’s what makes content engineering actually work.

1️⃣ Break Workflows Into Defined Skills: Instead of one large prompt, divide the process into specific tasks like keyword research, topic analysis, and drafting. Each step should have a clear role.

2️⃣ Chain Tasks Into A Pipeline: Connect these steps into a structured flow that takes a keyword and turns it into a near-complete draft automatically.

3️⃣ Save Outputs At Every Stage: Store results from each step. This helps identify exactly where errors occur and allows you to fix only that part.

4️⃣ Build Self-Improving Systems: Test outputs regularly and refine instructions. Remove steps that do not improve quality and keep the system efficient.

5️⃣ Use Real Data Sources: Pull actual keyword data, search insights, and competitor analysis instead of relying on assumptions. This keeps outputs accurate.

6️⃣ Guide the System Early: Provide direction at the start, including angle, tone, and key points. Strong inputs reduce the need for heavy editing later.

7️⃣ Treat It Like Engineering, Not Writing: Content systems need structure, testing, and iteration. Without that, they become inconsistent and unreliable.

The Takeaway

AI does not fail because of capability. It fails because of weak systems. The teams that win treat content automation like engineering, building structured workflows that improve over time.

💡 How To Let AI Handle Your Everyday Work

Most of your daily work is not complex. It is repetitive. Organizing files, cleaning data, summarizing notes, and stitching information together. These small tasks consume time and break focus. With tools like Claude Cowork, you can now delegate them completely.

Here’s how to use it.

1️⃣ Open Claude Cowork: Launch it on your laptop and start a session to work with your files directly.

2️⃣ Select A Folder: Choose any folder like Downloads, Notes, or project files. Claude gains visibility into its contents.

3️⃣ Give Clear Instructions: Tell Claude exactly what you want done, whether it is organizing, summarizing, or creating structured outputs.

4️⃣ Let It Execute Inside Your Files: Claude can edit, create, and organize content directly without manual effort.

5️⃣ Automate Repetitive Tasks: Turn screenshots into spreadsheets, messy notes into reports, or cluttered folders into structured systems.

6️⃣ Reduce Context Switching: Instead of jumping between tools, everything happens in one place with minimal friction.

7️⃣ Stay In Control: Review outputs and refine instructions to ensure accuracy and avoid unintended changes.

The Takeaway

AI is no longer just assisting; it is executing. Tools like Claude Cowork turn everyday manual work into automated workflows. The real leverage comes from clearly defining what needs to be done.

As we prepare more "Growthful" content, we'd love to hear your thoughts on today's edition! Feel free to share this with someone who would appreciate it. 🥰