After years of trial and error, I finally cracked the code on AI performance reviews. I'm sharing the raw, unfiltered story of my struggles and the hard-won victories so you can skip the mistakes and get straight to the results. It wasn't e
What I've Learned From 145 Companies
Across 234 angel investments, including Anthropic, a few patterns in AI performance reviews come up again and again.
The founders who handle AI performance reviews well understand that most founders overthink this and underspend on execution.
The Framework That Actually Works
Here is a simple framework for evaluating AI performance reviews. It's not complicated, but it requires discipline.
Step 1: the best solutions are often the simplest ones
This is where most people go wrong. They skip this step entirely and jump straight to execution. Don't do that.
Step 2: most founders overthink this and underspend on execution
Once you have the foundation right, this becomes much easier. I've watched founders struggle with this for months when the answer was staring them in the face.
Step 3: Iterate relentlessly
Nothing works perfectly the first time. The companies that get AI performance reviews right treat it as an ongoing process, not a one-time project.
Real Talk: What Actually Matters
Here is what actually matters in AI performance reviews.
First, execution speed beats perfection. Every time. Companies rarely fail because they moved too fast on AI performance reviews. Many fail because they moved too slowly.
Second, measure everything. If you can't measure it, you can't improve it. Set up tracking from day one, even if it's basic.
Third, talk to your users. It sounds obvious, but many founders make decisions about AI performance reviews in a vacuum. Get out of the building. Talk to real people.
This connects to broader themes around digital nomad AI tools, AI onboarding, AI culture building, async communication AI that I've been thinking about a lot lately.
Wrapping Up
I've shared a lot here, and I know it can feel overwhelming. But you don't need to get AI performance reviews right on day one. You just need to get started and keep improving.
Founders who do well at AI performance reviews tend to share one trait: they're relentlessly practical. They don't chase perfection. They chase progress.
That's the mindset I'd encourage you to adopt. Start where you are. Use what you have. Do what you can. And keep pushing forward.
As always, I'm rooting for you.
Frequently Asked Questions
Q:What's the most common pushback you get on this?
People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.
Q:How can I apply this thinking to my own situation?
Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.
Q:Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.