Noah Luttinger (NLW)

And sure enough, it had a bunch of interesting insights and a bunch of additional dimensionality to it.

And all I had to do to give it the relevant context was, again, just give it that other ChatGPT link.

So even within the environment of ChatGPT itself, without switching between Gemini and Grok, etc.,

I was able to get more from each of these different models by having them critique and go back and forth between each other.

The last technique to get your LLM to be not average is an obvious one, a tried and true method.

To the extent that you have an example of an output that you think is better than average, give the LLM that example.

However, the important thing that I think to add, which many people miss, is to actually take the time to explain why that example is better, and in particular, why the consensus or conventional wisdom that it flouts is wrong or at least limited.

A really bright blinking example of this for me is around pitch decks.

There are an infinite number of articles across the internet about the standard 10-slide pitch deck.

The problem statement, the solution statement, the product and what we do, the go-to-market, the team slide, usually in a very similar order.

There is nothing wrong a priori with that.

It's a fine starting point, especially as you are trying to architect your story.

But in point of fact...

Decks that stand out very rarely follow that template.

Not because there's anything wrong with it, but usually because there is something distinct about a company or project that wants to find its way to the very first slide, even if that's not the appointed place in its order, as based on the average random blogger who said that this was the way that you should do decks back in 2014 that's now become conventional wisdom in LLMs.

Super Intelligent right now is growing 41% month over month when it comes to revenue.

You better believe I'm not waiting till business slide six or whatever to show that.

That is going on slide number one.

I am finding a way to get it there right up front.

And this to me is a quintessential example of the LLM not doing anything wrong, but where its process of aggregating the collected and conventional wisdom of people who have built decks just makes for a generic product that is almost doomed to not do what the creator needs it to do.