Timo Springer
1.8K posts








The new "Company Knowledge" feature for ChatGPT Business, Edu, and Enterprise is great. Connecting disparate company apps for enterprise search is a powerful and necessary capability for many ad-hoc use cases. However, I believe this focus on search is overshadowing a workflow that is far more critical for many day-to-day operational roles. Let's use a concrete example: Let's say I'm a marketing manager. My job is to create on-brand social media content daily. For ChatGPT to be a true partner in this, it needs a guaranteed, complete, and persistent set of context. This includes: - Our company profile and mission - Brand style guide - Tone of voice guidelines - The content calendar - Social media channel guidelines - Target audience personas - Examples of "good" and "bad" content With the new "Company Knowledge" feature, I’d have to start a chat, select the feature, and then hope that when I ask it to draft a post, it correctly searches, finds, and fully utilizes all of those core documents, every single time. In practice, this is too unreliable for high-stakes, repetitive work. I cannot "hope" it finds the brand guide; I need to know it is using the entire brand guide, 100% of the time. The current alternative, Projects/GPTs, gets closer. I can build a "Marketing Content Bot." But its fatal flaw is that I can only provide knowledge via manual file uploads. Brand guidelines and content calendars are living documents. Forcing me to export a Google Doc to PDF and manually re-upload it every time it changes is an archaic workflow. Or take another high-stakes example: preparing an executive workshop. To do this, I need to synthesize information from specific emails, various briefing documents, survey results, and several meeting transcripts. I would be extremely hesitant to rely on a 'search' feature and hope it finds all these specific, critical inputs. The only reliable workflow is to create a dedicated Project/GPT, guarantee all those files are included as context, and then start the preparation. This is the only way to ensure every piece of information is actually considered. Here is the workflow we desperately need: The ability to connect live documents (like from Google Drive or SharePoint) as persistent, 100%-in-context knowledge for a specific Project/GPT. When I build my "Marketing Content Bot," I shouldn't be uploading files. I should be connecting them. Claude, for instance, has supported connecting live Google Drive documents since mid-2024. If I update a persona doc in Google Drive, Claude knows about it 10 seconds later. With ChatGPT, I have to go through an export/re-upload process. Even better, I should be able to connect an entire Google Drive folder. When my team adds a new "content example" doc to that folder, the Project/GPT should automatically know and use it. This isn't just a theoretical wish. Tools in the market, such as Langdock (as seen in the screenshot below) in the German-speaking market, already offer this exact functionality for Projects/GPTs, allowing direct synchronization with Google Drive/SharePoint folders. This works incredibly well and significantly enhances reliability and efficiency. This isn't about "search." It's about creating a dedicated, reliable specialist with a guaranteed set of knowledge. This workflow is faster (no search step), more reliable (100% of the context is always sent), and infinitely more practical for anyone in an operational role. I urge the OpenAI team to give this "dedicated, live-context" workflow the same priority as the "enterprise search" use case. (As a related bonus, please also give business admins the ability to set company-wide custom instructions for all users.) Thank you for listening. @basvanopheusden @TheRealAdamG @fidjissimo @bradlightcap @KavinIK @hemal @weizekong @nickaturley @btibor91 @testingcatalog










Gemini Tip: If you connect a Google Doc to a Gem, it will reference the most current version of the Doc. You don’t have to update the Gem when your file changes. Just update the Doc, and the Gem automatically knows the new rules.

We are splitting into two groups. Yesterday at the WEF Dario said the biggest danger he sees from this is one nation of ten million power users roughly centralised in Silicon Valley with fifty percent GDP, growth but completely decoupled and disconnected from the global economy.









