Despite the rush to integrate powerful new models, about 5% of AI pilot programs achieve rapid revenue acceleration; the vast majority stall, delivering little to no measurable impact on P&L.

The research—based on 150 interviews with leaders, a survey of 350 employees, and an analysis of 300 public AI deployments—paints a clear divide between success stories and stalled projects.

  • rumba@lemmy.zip
    link
    fedilink
    English
    arrow-up
    3
    arrow-down
    1
    ·
    3 days ago

    N8N is like IFTTT (if this then that)

    It’s a mostly codeless solution for wiring things together, meaning you can use semi-non-skilled labor to do somewhat difficult things.

    This guy can be a little hard to stomach for some, but he goes into great depth on setting up some n8n use cases, and he doesn’t waste a lot of time doing it. https://www.youtube.com/watch?v=ONgECvZNI3o

    Right now, we use it so that if IT puts a certain emoji on a slack message, it makes a jira ticket, letting us know that work has been triaged and created, but if a user does it, it fails.

    You could have N8N read a slack channel, or load an RSS feed, or take input from a website, send that data through an LLM prompt to transform the data and then have it or an agent do some work or respond to the input, with minimal need to write code. Really the limits are what services it supports (or your ability to add that API) and your imagination.

    In Chuck’s example, he had N8N load several RSS feeds, make thumbnails from them, read the description, and use an LLM to shorten the text without losing meaning and provide a clean list of media to a Discord channel.

    https://n8n.io/integrations/google-bigquery/and/openai/

    You could define a trigger, say have a chatbot or Slack channel, have it hit your BigQuery, send the data to GPT to make it human-readable, and respond to requests in the channel with some futzing around in logins, flowcharting, and JavaScript variable names…