- Product Prompts
- ✍️ Train ChatGPT to write like you
✍️ Train ChatGPT to write like you
PLUS: tell me the customer painpoints from this call
Hey there 👋
In today’s Product Prompts you’ll learn:
How to train ChatGPT to write like you
How to find any company-documented info you need using Slack
How to quickly ask questions based on a customer research call
What the heck embeddings are
and more 👇
💬 Prompt Deep-dive: Train ChatGPT to write like you
I come across a ton of use cases in my day job where I need to write something, which ChatGPT can help me with, but I have had to spend a fair chunk of time making it sound more like me. Luckily it’s possible to train ChatGPT to do this. Whilst I haven’t actuallydone this for this newsletter yet (honest!), here’s how you would go about it 👇
And then I pasted in my recent AI Audit on Monzo - or most of it. ChatGPT has a limit of 4,096 “tokens” that can be used in total between a prompt and the output. 1,000 tokens is roughly equal to 700 words in my experience. So your max prompt size is around 1400 words.
Here’s the output, whereby I’m given an interpretation of my style:
Which I think is pretty fair, if rather complimentary. I’ll take it 😊
You can follow this up with additional content, to further train the model and refine its understanding of your style.
OK so now to see if we can generate a blog in my style:
Not bad at all! If you want specific sections, this could be included in the prompt, and if you want a longer article you can get it to write one section at a time.
Pro tip: you’ve got the writing style worked out, you can just return to the same chat every time, and use your prompts to write whatever content or format you need.
🛠️ Cool new tools
Metal - AI Developer tools
A developer platform that makes it easy for engineers to use embeddings* in their applications. It provides APIs, models, infrastructure, and more for embedding generation and indexing. It was launched by Y Combinator in 2022.
*Embeddings are like lists of numbers that show how similar or different things are from each other. For example, if you have two words like “cat” and “dog”, you can use embeddings to see how close they are in meaning. The closer the numbers are, the more related the words are. The farther the numbers are, the less related the words are.
Embeddings are helpful for machines to understand and work with different kinds of data, such as text, images, sound, etc. They can help machines find patterns and meanings in data that humans can easily see or hear but machines cannot. For example, embeddings can help machines recognize faces in photos or emotions in voices.
Reword - Writing
I’ve tried a lot of GPT-powered writing tools, generally with at best moderate results, but Reword looks to be right up there in terms of helping you write well. The really cool bit is using a Google Search Console connector to detect and track your existing articles - this means your AI never stops learning, as it’s progressively trained on your detected articles.
Dashworks - Internal Knowledge Management
An AI search assistant for work. Find any file you need from different apps and places. Dashworks is like a smart assistant that can answer your questions about anything related to your work, like your product, customers, policies, and so on. Works with all kinds of tools like Jira, GitHub, Confluence, Dropbox, and today they’ve announced a Slack integration 🤩
Gong - Customer Research and Sales Intel
Call summariser & QA for Sales/Product Research call. Get a one-click summary, and quiz the call using natural language. Saves a ton of time when referencing this information in follow up emails or getting context on a call.
👀 Look out for Sunday’s AI Audit.
AI Audit - an analysis of AI growth opportunities for a well-known product.
Each week, in addition to the weekday newsletter like this one, I put myself in the shoes of a product team, ideate the generative AI opportunities and call out what I think would add the most value to the customers.
Thanks for reading, and happy prompting,
Martin, Chief Prompt Officer