Remove Generative AI Remove Knowledge Base Remove Weak Development Team
article thumbnail

Y Oslo 2024: When It Comes to Discovery, Something is Better Than Nothing

Product Talk

We covered how to manage messy opportunity solution trees , the most common challenges teams face when getting started with the discovery habits, what Im working on next, and so much more. Discovery is a team sport. I did classic web development before there were frameworks back in the ’90s. I hate definition wars.

article thumbnail

Our grand experiment with GPT and generative AI

Intercom, Inc.

 In December, our Director of Machine Learning, Fergal Reid , and I sat down to chat about the launch of ChatGPT : the good, the bad, the promise, the hype. In product development, customers are always the ultimate arbiter – you may build amazing technology, but if it doesn’t solve a problem for them, it’s not worth it.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

We Tested The 10 Best Customer Engagement Software: Here’s What We Found

Userpilot

Best for: SaaS product teams who want a powerful but easy-to-use platform to improve onboarding, increase product adoption, and drive user engagement. Ease of use and implementation Userpilot is known for its intuitive, no-code builder, making it easy to create and customize in-app experiences without needing developers.

article thumbnail

Top Customer Success Management Software For SaaS

Userpilot

Userpilot is an all-in-one growth platform that helps product teams boost key metrics through contextual in-app experiences. Zendesk is an AI-powered customer service software that helps CS teams manage support tickets from one hub. Sign up for a Userpilot demo and reap the rewards of customer success management software!

article thumbnail

Intercom on Product: How ChatGPT changed everything

Intercom, Inc.

a text-generating AI, and according to OpenAI , it can generate text in a dialog format, which “makes it possible to answer follow-up questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.”. We don’t know the probability of accuracy, but it’ll vary based on the inputs.

ChatGPT 279
article thumbnail

Five proven prompt engineering techniques (and a few more-advanced tactics)

Lenny Rachitsky

For more from Mike, check out his book, Prompt Engineering for Generative AI , and his AI engineering studio, Brightpool. Much like how becoming a better communicator leads to better results from the people you work with, writing better prompts improves the responses you can get from AI. Follow him on LinkedIn and X.