Hello Reader

I spent hundreds of dollars on ads for an early workshop I ran.

LinkedIn, Reddit, all the channels.

The content was solid: video, multiple angles, the whole package. I was targeting the right audience, the positioning felt right and I thought I'd cracked something.

When I looked at the numbers, it was crickets.

Five subscribers came through, and three of them unsubscribed. I was crushed.

But that failure taught me something.

Turns out my problem was bigger than the individual emails, ads or videos. I needed stronger audience research, a clearer view of the market and a campaign strategy that gave every asset a defined job.

I had created plenty of content, but the campaign itself was scattershot.

When you add AI it just pronounces the problem, because all you’re doing is repeating the failure at scale.

You can generate fifty social posts, twenty ad variations and an entire email sequence before lunch. If you don’t have a solid strategy and the system in place, you end up with more disconnected content and a bunch of AI slop no one’s going to care about.

What you need is a connected system that includes your audience, brand guide, market research and campaign context.

Working campaigns in AI takes more rigor than doing them by hand.

The AI runs faster than you can review, produces more than you can catch in a single sitting and confidently generates work in whatever direction you point it. When your direction is fuzzy, your output is fuzzy at fifty times the speed.

When you create the system correctly, three things change on every campaign you run.

• The AI starts producing copy that sounds like your brand.
• The campaign elements start reinforcing each other.
• Your review cycle shrinks because you're only making small tweaks (not rewriting half of it).

The audit below shows you where your system is complete and where it's failing. It takes ten minutes and covers six checkpoints.

Every gap you find is a place your next campaign is going to struggle if you don't fix it.

Here are the six checkpoints to see if your AI setup is ready to run a real campaign.

1. Memory or persistent context is turned on. Whatever AI tool you use, the model should retain what it knows about you between chats. Some platforms call this memory. Others call it custom instructions or context files. Whichever version you have, turn it on.

2. Global instructions are loaded. Give the AI a short brief on who you are, what you do, who you serve and how you want it to respond. One paragraph is enough.

3. Connectors and integrations are wired up. Drive, email, calendar, design tools, your CRM, whatever you use daily. Every connection gives the AI more context to pull from when it's working on your campaigns. Review the permissions when you set them up.

4. Reusable context is built and saved. Whether you call them skills, Custom GPTs, agents or prompt libraries, you should have reusable pieces for at least four items:

1. Audience or ICP
2. Brand guide
3. Writing style
4. Campaign execution process.

Build these once and use them on every campaign.

5. Projects are set up per client or campaign. Load each project with the right context files and reusable pieces. This stops client A's voice from bleeding into client B's messaging and gives every campaign its own home.

6. Pick the right model. Different jobs need different models. Use a higher model (such as Opus or Sol) for planning and strategy, a medium model (such as Sonnet or GPT 5.5) for copywriting, and always the highest option for design output.

If any of these are missing, that's where your campaigns are falling apart. Fix them in order and you'll see the difference on the next campaign you run.

What Separates AI Power Users

Typeface surveyed 200 marketing VPs earlier this year and found 93% are experiencing increased pressure to move faster, but paradoxically, their campaign timelines have gotten longer.

In 2025, 85% of marketing leaders said one to two weeks was their preferred timeline to ship a campaign. This year, the share of leaders now need one to two months.

Content production is speeding up but everything else (the reviews, approvals, handoffs and coordination between teams) is increasingly complex. More than 90% of leaders say campaigns now need ten or more stakeholders to execute.

Layering AI on top of that structure has made the coordination problem worse.

The AI produces faster than the humans in the workflow can process and every extra asset creates more review cycles, sign-offs, and places where a campaign can stall.

Other factors stalling progress?

1. No written AI policy
2. Disorganized content architecture that makes context impossible to pull
3. No single owner making decisions about the AI stack

Sanity, a content product platform, might have the answer.

They spent eight months tracking 1.46 million AI tool calls across 12,500 organizations. What they found is a much wider gap between teams that are shipping and teams that are stuck.

The top one percent of users (the teams running campaigns smoothly) execute 90 times more AI activity than the median.

The reason they can do this successfully is due to four conditions:

1. Context: the AI knows the brand, what matters to the audience and the messaging that will resonate.
2. Confidence: the team trusts the outputs, but still includes human review.
3. Buy-in: leadership understands the process and is comfortable with the outcomes.
4. Readiness: the content briefs are detailed enough for the AI to produce high quality outputs.

The teams running successful campaigns through AI have cleared the blockers and have a tightly integrated systems for the rest.

Tool Review: What to Use & When

Four tools worth looking at for AI-assisted campaign work.

Claude

URL: claude.ai​

Price: Free plan, Pro at $20/month, Max from $100/month

What it does: General-purpose AI assistant with skills, projects, memory, connectors and design tools built in.

How to use it for campaign execution: This is where the campaign brain lives. Set up projects per client. Build skills for your audience, brand, writing style, campaign strategy and campaign execution. Load context files into each project. Every new campaign starts with everything already in place. Turn on connectors to Drive, Gmail, Calendar and your CRM so Claude can pull context automatically.

Limitation: You have to build the skills yourself. There's no plug-and-play template that will match your brand out of the box, and the initial setup takes time.

Best fit: Solopreneurs, agencies and in-house teams who want a customizable AI brain that adapts to their process.

Note: If you’re a ChatGPT, Gemini or Copilot user, you can find similar features for running your campaigns. Ask your chatbot for advice on how to set this up and you’ll get surprisingly good results.

Suits AI

URL: suits.ai​

Price: Custom

What it does: Agentic AI platform built specifically for marketing agencies. Handles client acquisition, campaign execution and content production through purpose-built AI agents.

How to use it for campaign execution: This sits on top of your Claude or ChatGPT work as the execution layer. Convert client briefs into full campaign blueprints. Push through to ready-to-publish content across channels. Every asset stays on brand for each client because the agents pull from client-specific voice guidelines, personas and past work. Designed for agencies running multiple client campaigns simultaneously.

Limitation: No public pricing, which means you're evaluating through a sales call before you know what it costs. Likely priced for established agencies with real revenue, so early-stage solopreneurs may not be a fit.

Best fit: Agency owners with a working client roster who need multi-client campaign execution at scale.

Sanity

URL: sanity.io​

Price: Free tier, Growth at $15 per seat per month, Enterprise custom

What it does: Headless content management system that treats content as structured data instead of documents.

How to use it for campaign execution: This is the backend where campaign content lives once it's approved. Instead of assets sitting in Google Docs and getting copy-pasted into 12 different channels, they flow through a structured system that can push to any channel automatically. The AI Assist feature lets your team generate and edit content directly in the studio. Relevant if you're publishing at volume across websites, apps and other properties.

Limitation: Overkill for small teams that don't need structured content across multiple channels. Requires developer setup to get going.

Best fit: In-house teams and larger agencies publishing content across multiple properties at scale.

Writer

URL: writer.com​

Price: Free to try for 14-days, then enterprise pricing

What it does: Enterprise AI platform with brand governance, Playbooks for workflows and a Knowledge Graph that grounds AI output in your company's approved facts.

How to use it for campaign execution: For marketing teams who need every piece of AI output to hit brand guidelines automatically. Load your brand rules, terminology and approved facts into the Knowledge Graph. Build Playbooks for repeatable campaign workflows. The AI generates against that context every time, which cuts down the review cycle on every asset.

Limitation: Built for enterprises with 20 or more content creators.

Best fit: Marketing teams at mid-to-large companies where brand consistency, compliance and governance matter more than iteration speed.

Mail Bag

Here are this month's top reader questions.

Q1: "Which AI tool should our team or agency use?"

This is the wrong question.

The teams and agencies getting real results have assembled a stack of tools, each one handling what it does best. If you look at what agencies have posted on Reddit you’ll find a plethora of tools: ChatGPT or Claude for drafts, Grammarly for editing, Canva or Midjourney for visuals, CapCut or Descript for video and Surfer or Semrush for SEO. No one is betting on a single platform. They're stitching layers together, and each layer earns its spot by doing one job well.

The tool choice matters less than the quality of the input you give it. Spend time on the brief before you spend time picking software.

Q2: "I can get Claude to write decent copy, but the campaigns don't hang together. Emails, social, landing page all feel disconnected. What am I missing?"

You're generating individual assets and hoping they add up to a campaign. They won't.

What's missing is the layer that sits above the individual assets and holds the whole strategy together. In Claude, this is a skill. In ChatGPT, it's a Custom GPT. Whatever platform you're on, you need something that acts as the campaign director, making sure every asset you produce works toward the same goal, hits the same audience and stays on the same timeline.

I built this for my own workshops. My campaign executor gave me a 20-page document with an executive summary, a full timeline and every asset broken down by channel: when the email goes out, what angle it hits, where it points, what the paid ads say, what dimensions the creative needs. All the pieces mapped to each other.

When I hand that document to my team, they don't need to interpret briefs or guess at connections. The connections are already made.

Without an executor layer above your individual outputs, the assets stay disconnected no matter how good each one is on its own.

Q3: "How close to 100% is the campaign copy you get out of an LLM?"

Eighty to ninety percent when the system is set up right, meaning skills built, audience context loaded, writing style defined and brand documents in place. Closer to forty percent when those pieces are missing, sometimes lower.

Claude is only as good as the instructions, examples and guidelines you've fed into it.

Starve the model of context and the output defaults to generic.

Q4: "How do we build AI campaign work into an agency workflow where clients still need to approve everything?"

This is the question that worries people the most, and it shouldn't. Human-in-the-loop is the whole point. You're keeping humans on the work that requires judgment and letting the machine handle the volume.

The moments that matter are the ones that require judgment:

• Reviewing research and selecting focus areas
• Signing off on the strategy before content creation
• Editing and adding polish to final content
• Doing the final taste-test

As one of my workshop attendees said: "Automate the boring parts, keep humans on taste and strategy."

Have a question of your own? Email me at tahnee@perryco.ai ​

I built something new. It's called Driver Labs.

I've spent the past year inside agencies and marketing teams helping them build AI systems that hold up under real conditions.

After hosting hundreds of workshops and consulting on countless projects I started to notice a few things.

The people who made progress fastest had two things in common.

1. They had complete workflows they could run end to end.
2. They networked with peers tackling similar challenges.

That second part matters more than most people acknowledge.

When you can see how other marketers and agency owners solve the same problem you're stuck on, with the same stakes and the same constraints, you skip months of trial and error.

Driver Labs is a community and course platform I built around both of those things.

You get full workflows you can take into your agency or team and run. I share what's working and what isn't, with nothing edited out to look impressive. AND you're in a room with peers who have the same priorities, pressures and standards you do.

If you've tried AI courses that taught concepts but left you guessing on execution, or followed LinkedIn advice that fell apart the moment you applied it to a real life scenario, come join us in Driver Labs.

​Join here.

PS. Driver Labs is in its Founding Cohort stage. The content is being built in real time from live work, and the community is small on purpose right now. If you want a seat while it's still taking shape, this is the window.