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 up in new sycophantic language that C-levels use to bulldoze the budgets and timelines of actual skilled front line employees.
I do believe that LLMs and AI provide actual value, but the "workspace" is usually the passive aggressive CYA battleground for employees to appear productive in-spite of leadership's blind-spots, ossified business practices, and "aligned" decision-making that doesn't actually fix a broken org. Maybe this release will be the one that finally challenges nepo-hires, not-invented here, and all of the other corpo crap that defines "enterprise" business.
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, 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.
Looks like ChatGPTs answer to claude managed agents, but using existing ChatGPT Business subscription and not API Keys. With one Caveat , it needs to be invoked from ChatGPT or Slack does not support invoking from APIs, so cannot embed it. Also google launched agent cli today to build own one and integrate with Gemini enterprise https://developers.googleblog.com/agents-cli-in-agent-platfo...
I think I enjoyed OpenAI releases like ~1 year ago when they did video and presentation. This days with so many mini feature / releases is hard to be up to date or even figure out some use cases.
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" and "make sure the hospital has enough inventory", not "generate reports" and "write code".
Editing files, producing reports, even writing code is just a byproduct. This is like the idiotic "lines of code produced" metric, but now they apply it to all of society.
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 up in new sycophantic language that C-levels use to bulldoze the budgets and timelines of actual skilled front line employees.
I do believe that LLMs and AI provide actual value, but the "workspace" is usually the passive aggressive CYA battleground for employees to appear productive in-spite of leadership's blind-spots, ossified business practices, and "aligned" decision-making that doesn't actually fix a broken org. Maybe this release will be the one that finally challenges nepo-hires, not-invented here, and all of the other corpo crap that defines "enterprise" business.
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.
At promptql, our solution to this was a wiki. You get knowledge-graph/relations for free through page links.
New knowledge additions are proposed when agents decide it would be relevant to retain, humans confirm/deny or create wiki modifications themselves.
In demo videos, it shows Memory under Files, so i assume it holds learnings and shared context.
OpenAI and Anthropic are killing startups and mature companies left and right. They will always have the cost advantage.
I feel for the startups sweating each one of these frontier lab releases.
How many more are thinking “am I next?”
Looks like ChatGPTs answer to claude managed agents, but using existing ChatGPT Business subscription and not API Keys. With one Caveat , it needs to be invoked from ChatGPT or Slack does not support invoking from APIs, so cannot embed it. Also google launched agent cli today to build own one and integrate with Gemini enterprise https://developers.googleblog.com/agents-cli-in-agent-platfo...
I think I enjoyed OpenAI releases like ~1 year ago when they did video and presentation. This days with so many mini feature / releases is hard to be up to date or even figure out some use cases.
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" and "make sure the hospital has enough inventory", not "generate reports" and "write code".
Editing files, producing reports, even writing code is just a byproduct. This is like the idiotic "lines of code produced" metric, but now they apply it to all of society.
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.
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
Beautiful design and UX for the bot layouts. Kudos this is really clean