Tability AI: GPT-4 Update

By now, I'm sure you've all been using our goal generator to help you write your quarterly goals and OKRs. This week we updated our integration to start using Chat GPT-4 instead of what we were using up until now, GPT-3.5.

You're probably wondering, "what's the difference?" Well, GPT-4 is way more powerful, and is able to understand the context of your prompts better.

GPT-4 is 10 times more advanced than its predecessor, GPT-3.5. This enhancement enables the model to better understand context and distinguish nuances, resulting in more accurate and coherent responses.

Source: Search Engine Journal

This means that our goal generator just got 10x more powerful too. You may not notice right away, but the quality of response in all of our AI-powered features have improved a ton.

From generating goals to getting a diagnostic from our in-app OKR coach, the new GPT-4 intergration will bring all the AI power you need in your OKRs.

Here's a short demo on how Tability uses AI with GPT-4 👇

We know that AI is here to stay and only going to intergrate with our day-to-day more and more, so be on the look out for more AI-powered features from Tability soon.

💭 New Content

Choose Boring Solutions

by Sten Pittet

One of my favourite posts ever is Choose Boring Technology by Dan McKinley. In that post, Dan explains why it's important to limit the number of unknowns that a team has to deal with at any given time.

He introduces the concept of innovation tokens as a simple way to track and limit the introduction of unfamiliar technologies or architecture. An innovation token is consumed every time you use a new tech or concept that requires a substantial learning curve, and you're only allowed 3 innovation tokens at the start of your journey.

The goal is to create a stack where most parts are boring – meaning that the team can easily understand and implement them. The idea isn't to pick bad technology, but rather to minimise the time spent on learning how things work, and to maximise the time spent on understanding what users want...

👋 Got feedback?

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See you next week!