Without commenting on the product itself (I haven't tried it), the marketing copy around this release commits the same sins I have seen from Anthropic and Grok and all the rest of them. I'm so tired of seeing these companies trivializing other people's work! Nobody's job is "edit files" and "respond to messages"! People have jobs like "find and close leads" and "reconcile accounts" and "arrange student field trips" a…
But.. to your point.. will it not be interesting once the management finds out there may be a little more to what we do?:D
Without commenting on the product itself (I haven't tried it), the marketing copy around this release commits the same sins I have seen from Anthropic and Grok and all the rest of them. I'm so tired of seeing these companies trivializing other people's work! Nobody's job is "edit files" and "respond to messages"! People have jobs like "find and close leads" and "reconcile accounts" and "arrange student field trips" a…
While there definitely is a healthy dose of trivializing work I think once you scratch the surface the real messaging is that we can automate or optimize these parts of a current workflow to open work for higher value tasks to folks.
This is the LLM integration approach I was pitching last year to some companies. Though in my case it was strictly tied to self-hosted inference. Agents at the edge of business where they can work independently, asynchronously, is an approach that I don't feel was explored enough in business environments. Sending your entire communication and documents to OpenAI would be a very bold choice.
Not only are businesses already doing that - they're not even cleaning up their source material so LLMs are generating garbage outputs from the old inconsistent trash that haunts Confluence, Google Drive, and all of the other dumping grounds for enterprise ephemera. Oftentimes "AI transformation" is just a slightly better search engine that regurgitates your old strategy (that didn't work the first time) and wraps it…
Cleaning up source material is not easy work in companies that have massive piles of it and don't exactly know which parts of it are wrong. Quite often these documents are poorly versioned and do work for something but not exactly what you're looking for.
With this said, you can use your incorrect AI answers to find and then purge or repair this old and/or poorly written documentation and improve the output.
Not only are businesses already doing that - they're not even cleaning up their source material so LLMs are generating garbage outputs from the old inconsistent trash that haunts Confluence, Google Drive, and all of the other dumping grounds for enterprise ephemera. Oftentimes "AI transformation" is just a slightly better search engine that regurgitates your old strategy (that didn't work the first time) and wraps it…
Cleaning up source material is not easy work in companies that have massive piles of it and don't exactly know which parts of it are wrong. Quite often these documents are poorly versioned and do work for something but not exactly what you're looking for. With this said, you can use your incorrect AI answers to find and then purge or repair this old and/or poorly written documentation and improve the output.
I agree - and I've noticed that these AI transformations tend to lay bare the many issues, inconsistencies, and other problems with workspace functions and data. Unfortunately the people that are usually in charge of these projects do not have the seniority or sway to actually change the broken processes or aren't on the right team to remove cruft. Usually you have to wait until a salesperson misquotes something from an AI summary before these issues get unblocked because they actually affected revenue.
Notion did it first and arguably better[1]. Shared agents benefit from shared context. The hardest part is ensuring that shared context is maintained and it converges on a representation of reality and the people in the company. [1] https://www.notion.com/help/custom-agents
Notion, as any other thin-AI product out there, is now in Anthropic/OpenAI/Google's crosshairs. Unless one has a moat the size of SharePoint or Google Docs or OneDrive, it's just a feature away.
Tried it to automate something that was on my to do list for the day. I had blocked off a few hours for this and managed to get the agent working reasonably well (85%) of the way there in The main remaining part is the poor docx / pdf / final output but will create a skill/workflow to get around that.
Tried it to automate something that was on my to do list for the day. I had blocked off a few hours for this and managed to get the agent working reasonably well (85%) of the way there in The main remaining part is the poor docx / pdf / final output but will create a skill/workflow to get around that. Worked really well end-end!
Cool to hear, glad you enjoyed it! If you want to send any feedback on the output, feel free to send it to josiah at openai and I can take a look.