I’m going to say what most EdTech founders are afraid to: your expensive AI grading software is probably useless. After testing dozens of platforms, I found they miss nuance and penalize creativity. Here’s my framework for effective AI-assisted grading that actually works.
What I've Learned From 35 Companies
Across 234 angel investments, including Anthropic, a few patterns in AI grading tools come up again and again.
The founders who handle AI grading tools well understand that you should focus on one thing and do it exceptionally well.
Why Most Approaches Fail
Many common approaches to AI grading tools are flawed at the root.
The root cause is usually one of three things:
Copying what big companies do without understanding why they do it. What works for Google doesn't work for a 10-person startup.
Over-engineering the solution when a simple approach would work better. I've seen teams spend six months building something that could have been done in two weeks.
Ignoring the human element. Technology is the easy part. Getting people to actually use it is where the real challenge lives.
Real Talk: What Actually Matters
Here is what actually matters in AI grading tools.
First, execution speed beats perfection. Every time. Companies rarely fail because they moved too fast on AI grading tools. 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 grading tools in a vacuum. Get out of the building. Talk to real people.
This connects to broader themes around teaching strategies, contrarian, ai grading that I've been thinking about a lot lately.
Final Thoughts
There are no shortcuts in AI grading tools, but there are smarter paths.
The strongest teams treat AI grading tools as a competitive advantage, not a checkbox. They invest in it early, measure it obsessively, and never stop improving.
If you're just getting started with AI grading tools, don't be intimidated. Everyone starts somewhere. The key is to start with the right mindset and the right framework, and then execute like your company depends on it. Because it probably does.
Frequently Asked Questions
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.
Q:How has this view evolved over time?
My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.
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: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.