INBOX INSIGHTS: How To Manage Overwhelming Productivity, AI Digital Clone Part 2 (2026-04-01)

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INBOX INSIGHTS: How To Manage Overwhelming Productivity, AI Digital Clone Part 2 (2026-04-01)

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When You’re So Productive You Forget What You Did

I’m going to tell you something that happened to me this morning, and I need you to not judge me. (Or judge me. That’s fine too)

We had our team call today, and one of the things on the agenda was promoting our AIView Pro service and our upcoming GEO webinar on April 10th. I volunteered to get everything together — the landing page, a sales enablement deck, the whole package. I opened up my laptop, ready to start building it all out, and then… I realized we had already done it. All of it. Chris and I had put it together a couple of weeks ago. We had even shared the links with each other.

I had been part of the entire process, and it felt like an afterthought. Not because it wasn’t important — but because we’ve been getting so much done and creating so many things that the individual tasks just blur together.

Here’s the thing. This isn’t a story about getting old or needing more sleep (though, honestly, both might apply). This is a story about what happens when you are operating at a pace you’ve never operated at before — and your brain hasn’t caught up yet.

The Productivity Amnesia Problem

If you’re using agentic AI — and I mean really using it, not just asking ChatGPT to rewrite your emails — you’re probably producing more in a week than you used to produce in a month. That’s not hyperbole. That’s literally what’s happening at Trust Insights right now.

With Claude and Cowork, I’ve been scoping projects, building pages, creating decks, fixing technical SEO issues, and running autonomous workflows — sometimes overnight while I sleep. I wake up and things are done. Things I planned, things I directed, things that required my strategy and my thinking. But the volume is so high that the individual tasks blur together.

So when someone asks, “Did we do that yet?” my honest answer is sometimes, “I genuinely don’t know.” Not because I wasn’t involved, but because I was involved in seventeen other things that same week.

I’m calling it productivity amnesia, and I don’t think I’m the only one experiencing it.

This Is a Process Problem, Not an AI Problem

Now, before you think I’m complaining — I’m not. This is a genuinely good problem to have. But it IS a problem, and it’s one we need to solve with (say it with me) process.

If you’re 10x more productive but you can’t remember what you shipped, you don’t have a productivity issue. You have a documentation issue. You have a tracking issue. You have a “where the heck is my project log?” issue.

And this is where I get a little bit nerdy about it (I’m a nerd, I know). The answer isn’t to slow down. The answer is to build the system around the speed. You need:

A running log of what your AI agents have completed. Not just what you asked them to do — what they actually delivered. A regular review cadence — even 15 minutes a week — where you look at what shipped and what’s next. Clear naming conventions and project tracking so that when Future You goes looking for something, it’s findable.

If you run this through the 5P Framework by Trust Insights™, what I’m describing is a Process gap. The Purpose is clear (move fast, ship more). The People are in place (me, Chris, our AI tools). The Platform is working (almost too well). But the Process — the connective tissue that helps a human brain keep up with machine-speed output — that’s the piece we skipped. And I’m not too proud to admit it.

Your AI Is Not Your Bestie (And That’s the Point)

There’s a related conversation happening right now that I want to address. I posted about rebuilding katierobbert.com using Claude and Cowork, and someone pushed back on the idea of calling AI your “bestie” or your “brain.” Their point was: AI is a platform, a tool, a strategy. Not a friend.

And honestly? They’re not wrong. I get why that language makes people uncomfortable. We are absolutely in a moment where AI is getting more human-like in how it interacts with us. It remembers context. It anticipates what you need. It works alongside you in a way that genuinely feels collaborative. I understand why people reach for words like “partner” or even “bestie” — because the experience feels different from using a spreadsheet or a search engine.

But here’s what I want to be really clear about: the humans in your life who are meaningful to you? AI is not a replacement for them. Period.

What AI is replacing — or more accurately, augmenting — is the capacity gap. It’s the extra set of hands you don’t have the budget to hire. It’s the ability to execute at a speed that was previously impossible for a two-person company. When I say Claude is my “bestie,” I’m being playful about the fact that this tool has fundamentally changed how I work. I’m not confused about what it is.

The distinction matters because when we anthropomorphize AI as something that has feelings or consciousness or a soul, we set ourselves up for two problems: we over-trust it and we undervalue the actual humans around us. Neither of those is great.

So yes — I am fully, enthusiastically embracing AI to improve the quality of my work. I’m building websites autonomously. I’m running four-phase SEO projects overnight. I’m shipping faster than I ever thought possible.

And also? I know the difference between a tool that helps me think and the people in my life who actually care about me. You can hold both of those things at the same time. You can be both.

What I’d Tell You to Do This Week

If you’re in this agentic AI world and you’re moving fast — great. Keep going. But do yourself a favor and build the system that helps you remember what you did.

Start a simple project log. Even a shared doc or a spreadsheet. Date, project, what shipped, what’s next. It takes five minutes, and it will save you from the embarrassment of opening your laptop to build something that’s already live and linked.

Side note: I just asked Claude to clean up and organize all the files it created for me.

And if you’re wrestling with how to talk about AI — whether it’s a tool, a partner, a coworker, a bestie — stop worrying about the label and focus on the relationship you have with the humans who matter. AI doesn’t need you to call it anything. The people in your life do.

I could be wrong, but I don’t think I am.

Want to understand how ready your content actually is for a world where AI answers the questions?Join us for our GEO webinar on April 10th or check out AIView Pro — our GEO content readiness assessment and audit. Or just hit reply and tell me what you’re working on.

Are you developing productivity amnesia? Reply to this email or join the conversation in our Free Slack community, Analytics for Marketers!

– Katie Robbert, CEO

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Binge Watch and Listen

In this week’s In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the three phases of GEO, or generative engine optimization. You’ll discover the core mechanics behind Generative Engine Optimization. You’ll learn the steps to prepare your website for artificial intelligence models. You’ll uncover the truth behind misleading search tools. You’ll master the process to capture the machine audience.

Watch/listen to this episode of In-Ear Insights here »

Last time on So What? The Marketing Analytics and Insights Livestream, we looked at agentic product marketing. Catch the episode replay here!

This week on So What? we’ll be sharing how to manage AI usage limits. Are you following our YouTube channel? If not, click/tap here to follow us!

In Case You Missed It

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Data Diaries: Interesting Data We Found

In this week’s Data Diaries, we look at part 2 of making a digital twin. One of the most difficult things about a remit like “make a virtual version of yourself that solves client problems” is decomposing fundamental, core things about yourself.

Very often, we can’t put into words how we do things inside our heads. We just do them. This goes back to the late Daniel Kahnemann’s “Thinking Fast and Slow”, which introduced the concepts of System 1 and System 2 thinking. System 1 is fast, reflexive thinking, while System 2 is slow, deliberative thinking.

When we’re learning something for the first time, we live in System 2. Watch a toddler learning how to walk, and every step is a huge set of calculations. Over time, as a task becomes habitual, we encode it in our brains as reflex, as System 1. Eventually, it becomes second nature; only in situations where things are unpredictable or unfamiliar do we slow down to find our footing, like on ice or rock climbing.

When it comes to the tasks we do every day for work, especially if they’re repetitive in nature, much of our thinking is in System 1. We just do stuff, and in a business culture that prioritizes productivity, we’re encouraged not to think too hard and just ship as fast as we can. That means a ton of our knowledge and processes is subconscious.

For this particular project, one of the things I wanted to know most about myself was how I solve problems. It’s very difficult to do this honestly, because we always want to be the hero of our own stories and because we don’t often think about how we think, thanks to a ton of it being in System 1.

Why? Because there is no such thing as thinking as a discrete entity, much in the same way there’s no such thing as writing style. Thinking is an umbrella term that describes hundreds of ways of accomplishing a task. By taking the time to decompose thinking into its components, I’ll be able to more clearly articulate what KIND of thinking I do in different contexts or to create different outputs.

So one of the first steps I took was to determine what thinking even was. With multiple AI systems – Gemini, Perplexity, Qwen, ChatGPT, and Claude – I had them each do large deep research projects on different thinking techniques, techniques like systems thinking, divergent thinking, etc. After each AI tool built its results, I used Claude Code’s agents to consolidate them down to a single catalog of over 400 different thinking techniques.

The second major corpus of data I needed to gather was MY thinking. Thankfully at Trust Insights and in my personal life, I’m a data packrat. I keep every email I send, every conversation, every newsletter, every podcast and YouTube video. I gathered up all my content from everywhere I could find it, categorized it by content type, and converted it all into plain text.

With these two very large corpuses of data in hand, I was ready to move onto stage 3 of the project, cataloging my thinking. Next week, we’ll look at how they went and what the results were. Stay tuned!

Trust Insights In Action
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Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

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