Knowledgework is AI that can actually save you time, make you better organized, and do better work. Knowledgework is the answer to question, “Why isn’t ChatGPT more useful for real-world work tasks?”
While ChatGPT is a better Google search, Knowledgework is like asking a copy of your own brain for help. Today’s chat interfaces are flawed because they require the user to micromanage: to not only know exactly what can and should be done, but to describe in detail all the specifics required to do it. Knowledgework fixes this with two elements that I believe create a new paradigm for AI enabled software: proactivity and omniscience. Without these two properties, you can’t delegate meaningful real world tasks to AI.
ChatGPT isn’t useful for this. Not because it’s not intelligent enough (it is), but because it lacks the right knowledge. When I speak to knowledge workers about how they use AI for work, they tell me they’d like to delegate more tasks to AI, but that they experience this frustration of needing to micromanage it, re-teaching everything about their project and their team every time.
How does Knowledgework solve omniscience and proactivity to create an AI assistant that’s useful for delegation of real-world work? It’s a desktop vision AI that watches you work, like an intern who is shadowing you, or a pair programmer. It learns the rich, internal (often unwritten) knowledge specific to your projects that's required to contextualize them. It organizes this into neat, understandable documentation of everything you’re doing: a hyperlinked wiki that connects all of your team’s concepts, decisions, definitions, acronyms, tools, etc.
This explicit representation of your knowledge powers the AI assistant to enable useful delegation — but it’s also really useful in it of itself. Curious as to how your team came to a decision on something? Click through the wiki to get context.
The other main feature is the Timeline. It’s kind of like a log or an objective summary of how you spent your time. While the wiki mirrors humans’ associative and conceptual memory, the timeline represents episodic memory. This enables you to visually search through your time: imagine you remember solving a similar problem a few weeks ago, but you don’t quite remember when. By going through the Timeline, you can quickly scan to find the specific work session and ask about what you did.
Together, these representations of your knowledge and experience along with the AI assistant running on top begin to feel like a sort of “digital second brain”. Since I started using it, I’ve had the experience where I’m hesitant to even do things on other devices, because it feels like anything I do there is ephemeral.
If you’re excited to upload your mind and see what the future looks like with this tech, sign up for the waitlist here: https://knowledgework.ai.
While ChatGPT is a better Google search, Knowledgework is like asking a copy of your own brain for help. Today’s chat interfaces are flawed because they require the user to micromanage: to not only know exactly what can and should be done, but to describe in detail all the specifics required to do it. Knowledgework fixes this with two elements that I believe create a new paradigm for AI enabled software: proactivity and omniscience. Without these two properties, you can’t delegate meaningful real world tasks to AI.
ChatGPT isn’t useful for this. Not because it’s not intelligent enough (it is), but because it lacks the right knowledge. When I speak to knowledge workers about how they use AI for work, they tell me they’d like to delegate more tasks to AI, but that they experience this frustration of needing to micromanage it, re-teaching everything about their project and their team every time.
How does Knowledgework solve omniscience and proactivity to create an AI assistant that’s useful for delegation of real-world work? It’s a desktop vision AI that watches you work, like an intern who is shadowing you, or a pair programmer. It learns the rich, internal (often unwritten) knowledge specific to your projects that's required to contextualize them. It organizes this into neat, understandable documentation of everything you’re doing: a hyperlinked wiki that connects all of your team’s concepts, decisions, definitions, acronyms, tools, etc.
This explicit representation of your knowledge powers the AI assistant to enable useful delegation — but it’s also really useful in it of itself. Curious as to how your team came to a decision on something? Click through the wiki to get context.
The other main feature is the Timeline. It’s kind of like a log or an objective summary of how you spent your time. While the wiki mirrors humans’ associative and conceptual memory, the timeline represents episodic memory. This enables you to visually search through your time: imagine you remember solving a similar problem a few weeks ago, but you don’t quite remember when. By going through the Timeline, you can quickly scan to find the specific work session and ask about what you did.
Together, these representations of your knowledge and experience along with the AI assistant running on top begin to feel like a sort of “digital second brain”. Since I started using it, I’ve had the experience where I’m hesitant to even do things on other devices, because it feels like anything I do there is ephemeral.
If you’re excited to upload your mind and see what the future looks like with this tech, sign up for the waitlist here: https://knowledgework.ai.