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Pokee AI
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Pokee AI
@Pokee_AI
Frontier Agent Running In Your Infra and Compute. Pokee AI's official X account.
Katılım Kasım 2024
12 Takip Edilen7K Takipçiler
Exactly. Tools make agents useful, but long context makes them truly effective.
Pokee AI can retain and reason across massive amounts of information from your apps, documents, conversations, and workflows—so the agent understands the full picture before taking action.
From fragmented context to end-to-end execution.
Lee Robinson@leerob
Coding with AI showed you could give models powerful tools and dramatically improve their usefulness. We're seeing the same thing happen now for all knowledge work. The agent can use the computer as you would and gain context from all the apps you use. The future is exciting!
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@Maverick_snrr Pokee AI is a general-purpose AI agent—not just a workflow builder. Give it a goal, and it can reason, research, plan, and take action using tools like Gmail, Google Drive, Slack, GitHub, Notion, and more to get the job done.
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Great to see the excitement around GPT-5.6 Sol—but the quick limits also highlight a bigger issue: frontier performance is getting expensive.
Pokee AI is built to deliver strong performance with far lower cost, so teams can actually use AI at scale.
Youssof Al Toukhi@Youssofal_
My experience with GPT 5.6 Sol summarised in one image:
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Resetting rate limits is a good move, but the bigger lesson is clear: users are building real workflows on top of AI tools now.
When limits, access, or model availability change suddenly, productivity breaks.
Production AI needs more than powerful models. It needs stable access, deployment control, and an agent layer that can keep work running reliably.
0x45@0x45o
I was right I was right I was right they are afraaaaaid they are so afraid its scary they want to stay in the gaaaaameeeeee good luck anthropic oh gosh I love the AI race gives me chills
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Love seeing model pricing get more competitive.
But for enterprises, cheap tokens are only one piece of the puzzle. Reliable planning, secure tool use, lower token waste, and private deployment matter just as much.
That’s the layer Pokee AI is building for.
Mark Zuckerberg@finkd
(1) Today we're releasing Muse Spark 1.1 -- a strong agentic and coding model at a very low price. It's available through our new Meta Model API and in Meta AI.
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Bigger Context = More Power
A larger context helps AI understand bigger tasks.
But remember:
Everything inside the workspace is processed together.
Before starting a task, only include the information the AI actually needs.
Hopefully this helps you all understand context windows!
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Agents also touch more data.
They may access emails, docs, customer records, source code, internal tools, financial data, and legal files.
So model selection is not only about intelligence.
It is also about data control.
The cheapest model is not always the cheapest workflow.
The smartest model is not always the safest deployment.
Hopefully thinking through some of these options when it comes to models helps narrow down the right choice for your organization and projects!
Think like a builder.
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@Epsilon_ai__ Hey Epsilon! Ah yeah, deep research will use more credits, please check your DMs :). This looks great!
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Introducing the Cerebras Ambassador Program 🌏
We're looking for AI community builders to build your local ecosystem around the world's fastest inference.
In the last few months, our community has hosted Cafe Compute Meetups in Berlin, Mexico City, Mumbai, SF, Seattle, and NYC. We want your city to be next!
Application link in comments.
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You want it. We build it.
Got a repetitive workflow your team keeps doing by hand?
Drop it below.
Every two weeks, we’ll pick one user idea and turn it into a working Pokee AI Skill prototype.
The winning Skill will be demoed, published in Pokee’s marketplace, and made reusable for everyone.
Real workflows. Real users. Built in public.
What should we build first? 👇
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