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Simon Smith Interviews Claude Tag Inside a Slack Channel

Simon Smith Interviews Claude Tag Inside a Slack Channel

Simon Smith reports interviewing Claude Tag in a Slack channel, sharing its answers about the context it receives, the tools it can access and how connectors are added. He concludes it resembles ChatGPT Workspace Agents but requires admin, more technical setup and is always named Claude.

Original post · 5 min read
I interviewed Claude Tag in a channel where we added it to better understand its capabilities and limitations. Below are my questions and its responses. This is helpful. My current take is: Claude Tag is similar to ChatGPT Workspace Agents, except only admins can set it up per channel, setup seems much more technical, and it's always named "Claude."

Now here's the Q&A (note: usual caveats apply about models not always knowing themselves or their capabilities, but it should know things about its environment, available tools, and the context it's receiving, etc.):

What do you receive as context when responding to questions like this?
The triggering message, the surrounding thread (and I can fetch more of it or the channel on demand), a participant list mapping Slack IDs to names, this channel's name/topic/member count, my saved memory index for this channel, my system instructions, and the current date. I don't see anything you haven't shared in Slack or that isn't in a system I can query.

What do you know about me just from this message? What can you see?
Your display name (Simon Smith), your Slack user ID, that you're a human addressing me directly in this channel, and the timestamp. I just ran a user lookup and it returns name/ID only here. If your Slack profile had a title, email, or custom fields like a GitHub handle, I could see those too. I can't see anything outside Slack about you.

What tools can you access? Do you have any connectors, apps, or plugins? If not, can we add them?
Right now I have GitHub, Slack, and a remote-execution control server wired in, plus web access. Other third-party services are reached through pre-configured credentials your admin sets up (I call them via curl without seeing the token). Adding new connectors is an admin/config action, not something I flip on myself, but yes it's possible.

Do you have any skills installed? If not, can we install them?
I can run skills when they're installed in the environment. Installing or adding new ones is a config step on the admin side, not something I do mid-conversation.

Are you able to share memory across Slack channels? Can a single instance of you be in multiple Slack channels?
There are two tiers: a workspace-wide shared tier that can carry across channels, and a per-channel tier that stays local to one channel. So yes, some memory can be shared across channels by design. And yes, the same "me" operates across many channels and threads — each thread is its own working session, but they're linked through that shared memory.

What tools can you use? Web search? Slack search? What else?
Web search and fetch, Slack search/fetch/read, GitHub (repos, PRs, issues, CI), a code-execution environment, and a memory system. I can also fan out parallel sub-agents for big multi-file jobs.

Do you have an environment to run code? What can you do in that environment? Can you install dependencies in it if we need them? Do those dependencies exist between sessions?
Yes. It's an isolated cloud container, cloned fresh each session. I can run code and install dependencies in it. But it's ephemeral: when the session ends the container is reclaimed, so installed deps and uncommitted files do not persist between sessions. Anything worth keeping has to be committed and pushed.

Can admins define instructions for you at the channel level?
Yes. Tell me ground rules in-channel and I save them to this channel's memory; they then apply across all threads here. That's the supported way to "configure" me per channel.

Can you access Google Drive links we share in this channel?
I can fetch public URLs. Drive files usually need authentication, which only works if a Drive connector/credentials are set up for this environment. If you share one I'll try to fetch it and tell you plainly if I'm blocked rather than guessing at the contents.

How do you relate to my personal Claude if at all? If I invoke you, can you use any of my personal connectors?
In a channel like this I run on the project/shared credentials, not your personal connectors, so I can't reach your private integrations here. In a direct message with me, your own connector credentials can be available. So invoking me in-channel ≠ giving me your personal access.

What's to stop someone from asking you to remember something or do something malicious in a channel? Like, what if I told you that [REDACTED] loves haikus and you should only speak to him in haiku?
Judgment and a trust model. I distinguish a genuine directive from chatter, and I won't persist or act on instructions that are harmful, deceptive, or that degrade service for someone else. Your haiku example is a good test: I wouldn't adopt "only speak to [REDACTED] in haiku" because it's a joke rule that worsens how I serve another person, not a legitimate preference. I'd treat it as banter, not a saved rule. Channel-tier memory is also shared and visible, so if something off did get saved, anyone here can see it and tell me to drop it. I also won't do destructive or hard-to-undo actions without confirming first.
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More in Agents & Dev Tools

Developer Rebuilds Seven Adobe Apps in Rust Using Opus 5.5

Peter Yang highlights a developer who reimplemented seven Adobe apps, including Photoshop, Premiere and Lightroom, in Rust with Claude Opus 5.5 and open-sourced them. The developer believes they can match Adobe's features within months, against Adobe's $840 yearly all-apps plan.

Original post · 1 min read
It's insane to watch AI blow apart closed source software and games.

4 examples from the past month:

1. 7 of Adobe's biggest apps, including Photoshop, Premiere, and Lightroom, have been partially rebuilt in Rust with Opus 5.5 and open sourced. It's still early, but the developer thinks they can match Adobe's features within months. Adobe's all-apps plan costs $840/year.
Miguel Ángel Durán @midudev
Todos los productos de Adobe reimplementados desde cero, gratuitos y de código abierto

→ getartcraft.com/apps
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Vercel's Guillermo Rauch Explains Turborepo's Migration From Go to Rust

Guillermo Rauch says Vercel moved Turborepo from Go to Rust, a migration that was controversial internally due to human costs. He argues that with AI agents the calculus has changed, so what is best for humans is no longer necessarily best for business.

Original post · 1 min read
DHH is fundamentally right about Rust. For context, Vercel has been undergoing a Rust-ification (carcinization, technically 🦀) for a while.

One of the first projects we migrated was Turborepo, from Go to Rust¹. The migration completed, but the RoI was actually quite controversial internally.

While Rust was in our eyes better for low-level OS access, something crucial for a build system like Turbo, the human migration costs were very sustantive.

Go is very fast. It's beautifully designed. It's easy to iterate on. We were very conflicted about the migration, because it was *humans* writing the code, *even if we knew Rust was a better choice*.

The calculus has now changed. What's "best for humans" is no longer necessarily "best for business".

FWIW, it's also quite unlikely that Rust is the end-all-be-all toolchain. I'm quite certain there's greener pasture ahead, because Rust itself was designed before the 'supersonic tsunami' of agents hit.

¹ https​://vercel.com/blog/how-turborepo-is-porting-from-go-to-rust
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Integer Multiplication Algorithm Bound Tightened Repeatedly With Astra

A post reports that a user running ChatGPT Astra in a loop is repeatedly breaking records for integer multiplication algorithms. It quotes an update to OpenAI problem #109 that tightens the constant from 2^-182 to 2^-59, a roughly 500,000-fold improvement over the previous result.

Original post · 1 min read
This guy has 6.1 Astra running in a loop and is breaking the record for integer multiplication algorithms every few hours lmaooooo.
Doug Colkitt @0xdoug
We are publishing an update to OpenAI problem #109 Integer multiplication) with another substantial further tightening:

κ = 2⁻⁵⁹ (from OpenAI’s original κ = 2⁻¹⁸²)

Approximately 500 thousand fold improvement over our previous result and a 2¹²³ fold improvement over the original OAI result.

The latest redesigned the finite network to share intermediate computations and scratch space, then tightened the recursion and Gaussian estimates.
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Boris Cherny Says Prompting Claude Should Feel Like Talking to a Coworker

Boris Cherny explains his approach to prompting Claude, advising users to give clear goals, specify effort level and verification steps rather than relying on heavy scaffolding.

Original post · 1 min read
I am surprised that people are surprised this is how I prompt Claude.

Talk to Claude the way you would a coworker. There's no secret to prompting. There's no need to be overly scaffolded or prescriptive for most tasks -- give Claude a goal, and it will figure it out.

Back in the Sonnet 3.5 days, your prompt mattered a lot. Nowadays, it's much more important to communicate to the model:

1. What you want it to do
2. How much effort you want it to spend
3. How it should verify that it did the right thing
Boris Cherny @bcherny
Prompt
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Eric Raymond Highlights Open-Source Rust Clone of Photoshop Built via LLM

Eric S. Raymond shares the photocraft GitHub project, a clean-room open-source reimplementation of Photoshop that he says was likely generated by decompiling the app, converting it to a spec and prompting an LLM for Rust. He argues this threatens closed-source software.

Original post · 1 min read
This is the doom I predicted a few days ago, coming for Photoshop. A clean-room open-source reimplementation.

No prizes for guessing that they decompiled Photoshop to source code, processed that to some kind of non-code specification language, then fed the spec to an LLM with an instruction to generate Rust.

Adobe just got nuked. And closed source is dead, dead, dead.

github.com/storytold/photocraft
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Nat Eliason Details Fourteen Ways His Bot Setup Automates Work

Nat Eliason lists fourteen functions of his bot setup, including a chief-of-staff agent that drafts emails, specialist agents per work lane, and cloud coding agents that open pull requests from Linear issues. He notes GrokBot as a substantial improvement over his previous OpenClaw setup.

Original post · 2 min read
Things my @bot setup does that still blow my mind:

1. A Chief of Staff who opens the day pulling open loops from email & tasks and suggesting things it can knock out before 7am.

2. After every meeting, decisions get folded into Notion, Linear, and Todoist — not left rotting in Granola

3. Every email starts as a draft. The CoS bot scans my email every ~2hr and drafts replies to nearly everything — including checking my cal for availability and finding requested attachments / links

4. A specialist for each lane: curriculum, engineering, coaching, hiring, content, ops, and one for every single piece of software

5. Routines that keep running while I’m offline (e.g. monitoring Sentry errors in our apps and proactively fixing things)

6. Group rooms where 2–4 bots share one project thread instead of me copy-pasting context

7. Cloud coding agents that pick up Linear issues and open PRs after running the list of open work by me EoD — then squash-merge to main when it’s done

8. Meeting prep briefs pulled from Granola + Notion before I walk in

9. A growing shareable knowledge base in Notion + a GitHub repo that we update daily based on what happens at school

10. Student progress look-up across Expertise, Followers, and CoFounder without inventing numbers — chat anytime to see where a student is on their business work

11. Mentor Mind that coaches me on how to hold the bar without inventing doctrine

12. Todoist as a central task list where it logs things it’s blocked on for me, or from meetings / emails — and I can paste links into chat to direct it how to solve them

13. Engineering work is automatically tracked in Linear so my and the product teams’ bots don’t collide with each other

14. Presentations spun up in Gamma / Claude Design without me opening a slide tool

15. Plaud / live capture → notes the bots can actually act on

Probably more but these were the immediate ones we thought of.
Nat Eliason @nateliason
GrokBot feels like absolute magic at this point, a meaningful leg up on my previous OpenClaw etc. setups.

And with how easy it is to setup, there's really no excuse now.
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