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@kenanhsaleh to my knowledge, that doesn't exist
i'm looking all the time
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@DigitalAges @andrewchen cool. btw i've been a chief of staff & the DM functionality in X exists :)
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ai is shifting from “chatbot UX” to “coworker UX.” it’s not just about having smartest model, they’ll have the best handoff between human judgment and autonomous execution
I think this is what we see in explosive hype around openclaw. What's magical about it is that it can be proactive, it can self-improve, it can link into your accounts so that it’s triggered. These are the things you need to be a coworker, chief of staff, colleague, etc rather than just something that is a smarter google search.
What people underestimate is that the interface paradigm itself is changing:
- Chatbots assume every task begins with a prompt
- Coworkers don’t wait for prompts
They watch the environment, notice patterns, and surface things before you ask. The best AI systems will feel less like “ask me anything” and more like “I’m already working on it.”
that requires three things that chatbot systems historically lack: memory, agency, and integration. Memory so the system understands your projects and preferences over long running periods of time. agency so it can break goals into steps and execute them. integration so it can touch real systems, like email, docs, repos, finances, calendars, APIs. Once those exist together, the model stops being a tool and becomes a participant in the workflow.
we are sooooo close to having all this, but not yet... the claws show a glimmer of the future. So the question is, which agentic systems will know what you’re trying to do? Which ones can take partial direction and move the ball forward? Which ones learn your style and anticipate the next step?
Feels like we're almost there, and likely to figure this out in 2026. am very very pumped this is about to happen.
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@muratajniazi @andrewchen makes sense
i’m thinking through some of these challenges now for a chief of staff-type agent
it’s a balancing act deciding how much disclosure to give at each stage of the automation process
without drowning the user in notifications
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@DigitalAges @andrewchen Both imo - for fully delegated tasks you'd have LLM-as-judge; for more important tasks, any human input from an appropriate group receives disproportionate weighing. Ideally, the agent "arbiter" could reach out for human feedback and can self-assess contextual sufficiency
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@muratajniazi @andrewchen how do you decide who is right in a forum framework?
human-in-the-loop or agent arbiter?
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@andrewchen Re interface paradigm - forums are especially promising. They’re at the agent-human junction, and straddle context and integration layers understandably. Moltbook validated this; more thoughts below if you’re curious
Niazi (“Zeke”) Murataj@muratajniazi
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We've raised $6.5M to kill vector databases.
Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest.
Similar, sure. Relevant? Almost never.
Embeddings can’t tell a Q3 renewal clause from a Q1 termination notice if the language is close enough.
A friend of mine asked his AI about a contract last week, and it returned a detailed, perfectly crafted answer pulled from a completely different client’s file.
Once you’re dealing with 10M+ documents, these mix-ups happen all the time.
VectorDB accuracy goes to shit.
We built @hydra_db for exactly this.
HydraDB builds an ontology-first context graph over your data, maps relationships between entities, understands the 'why' behind documents, and tracks how information evolves over time.
So when you ask about 'Apple,' it knows you mean the company you're serving as a customer. Not the fruit.
Even when a vector DB's similarity score says 0.94.
More below ⬇️
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@zenorocha just sent an email from resend in the terminal
love the product
happy to beta test
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i tried this w claude and unfortunately it was a banger
Joseph Viviano@josephdviviano
me: "can you use whatever resources you like, and python, to generate a short 'youtube poop' video and render it using ffmpeg ? can you put more of a personal spin on it? it should express what it's like to be a LLM" claude opus 4.6:
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