For most of my career I've watched teams waste hours hunting for answers they already had. In shared drives. In Teams or Slack threads. In someone's head.
Today I'm launching the thing I wish I'd had: @knowledgescout_
Companies are pouring money into AI agents, models, prompts, evals. Almost nobody is talking about the thing those agents need to stay useful: clean, current, trustworthy knowledge.
The model isn't your moat, your knowledge is.
That's why we built @knowledgescout_
@wallstengine The bigger problem: when AI agents join the team, they inherit the fragmentation.
One record of truth, access for all knowledge users (team, customers, agents) is the fix.
AI doesn't make your knowledge base smarter. It makes its mistakes louder.
If the content is wrong, the AI tells more people, faster, with more confidence.
@4Jackle4 @KaiXCreator Thanks @4Jackle4 completely agree! A good KMS is more important then ever - also helps i spent my whole career in operational teams that needed a good one but never had one that met our needs.
One cancellation policy. Five places.
A help article from 2022. A manager's email. A training deck. A clause in the terms of service. A heap of Teams messages asking which one is current.
None of them quite agree.
This is what your AI is reading.
The trade is: yes, somebody has to actually curate.
That's the point. The companies that figure out KM in the AI era won't be the ones with the smartest inference engines.
They'll be the ones with the cleanest sources.
The fix isn't smarter inference. It's a cleaner foundation.
A single source of truth that humans curate. AI builds on top of that. Every agent, every chatbot, every search result reads from the same canonical answer.
When something's wrong, you fix it once.
When AI synthesises an answer from contradictory sources, it doesn't tell you they contradict.
It picks one. Or averages them. Or generates something plausible-sounding nobody actually wrote.
That's not a knowledge base. That's confidence theatre.
The current pitch is "let AI figure it out." Microsoft Copilot does this. Glean does this. A whole wave of products is betting on the same idea.
Crawl every system. Synthesise an answer in real time. Serve it up.
I think that's fundamentally broken.