Last time I checked, Facebook is not a thing other than for watching AI generated content, Instagram is still a thing to watch mind-numbing content and get distracted from other problems by doomscrolling.

It’s same as language translators and RLHF annotators doing work to contribute to AI training data. Is Facebook or Instagram solving a problem for humanity that’s worth selling your soul? Won’t a job that can be automated with AI training data of clicks and typing, markdown files, next function prediction with no coherence be significantly worse than a job that requires creativity?

Is all the recent GitHub downtime entirely attributable to GitHub AI Copilot related development? How hard can it be to reduce the blast radius of new AI features to not affect the core parts of hosting repositories? Because of Copilot everywhere, The UX has become bad and I had to click all over the place and on my profile to find repositories.

This is similar to using OpenClaw for a specific usecase, but without most of the complexities or security implications of OpenClaw.

Agent-kernel has personality, persistent memory, self-modifying capability, using Skills is same as using Skills from Claude code.

1 - “It seems like 99% of society has agreed that code is dead. …It's the same as thinking storytelling is dead at the invention of the printing press. No you dummies, code is just getting started. AI is going to be such a boon for coding.“

2 - Another one comparing writing and coding, and explaining how Code is both a means and an end to manage complexity:

“we're confused because we (incorrectly) think that code is only for the software it produces. It's only partly about that. The code itself is also a centrally important artifact… I think this is a lot clearer if you make an analogy to writing. Isn't it fucking telling that nobody is talking about "vibe writing"?”

The agent sees the output of the service, it does not directly see the keys. In OpenClaw, it’s possible to create the skill in a way that the agent does not directly know about or use vault_get command.

vault_get.sh: https://gist.github.com/sathish316/1ca3fe1b124577d1354ee254a...

vault_set.sh: https://gist.github.com/sathish316/1f4e6549a8f85ac5c5ac8a088...

Blog about the full setup for OpenClaw: https://x.com/sathish316/status/2019496552419717390

With a CLI, you avoid sending this context to the LLM and it progressively discovers only what is needed.

The input token costs come down because of using a CLI instead of MCP

This method was popularised by beads with a simple command “bd quickstart” to teach the basics to an agent. Think of this as an adaptive learning method for the agent.

I’ve not seen the details of mcp2cli, but let’s just say you had a mcp2cli wrapper over stripe, you can just tell the agent to run mcp2cli for stripe as a provider to learn how to use the rest of the APIs

A better option is to have Claude as an assistant or bot in every group chat and triggered when needed. That is just a different interface for Claude or Cowork chat with the group chat context.

Leaving aside the implementation details, the call for action here is valid since Slack is a black hole of your enterprise data and tribal knowledge and Slack is extremely restrictive. Try using Slack MCP in Claude Chat or any AI product

What is wrong with this line of thinking? Anthropic is the power company that has a 3D printer to make a faster Maglev than anyone.

If Enterprise companies are restrictive to make your own data their only moat, that moat can be broken. Have you tried building any AI agent or using an AI product with Slack MCP? This is one of the hardest problems in SaaS data access and Slack tries to literally block any form of API or OAuth based access. Even Google workspace is not that restrictive and has opened up a cli for the workspace.