Raad @R44D
founder/ceo @lawtrades. freelance legal marketplace. building something new🦞 raad.substack.com nyc Joined April 2009-
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@gabepereyra @charle_marle @harvey @Mercor @SnorkelAI if you need more help, attorneys on @Lawtrades doing eval work with live client context. fastest growing thing we do
me with the SpaceX cafeteria lady after she becomes a billionaire from the IPO
@gabepereyra why don’t you guys just start a law firm on the side?
“ok this startup is cool but …”
1980:
… what if IBM builds this?
1995
… what if Microsoft builds this?
2010
… what if Google builds this?
Today
… what if
@NotionHQ @ivanhzhao @claudeai @AnthropicAI super clunky experience
durable task flows = your agent survives a crash and picks back up from where it stopped. no lost work, no restart from scratch. exec approvals = you stop watching every command run and only get pulled in when something actually needs a human call. those two changes alone make agents feel like infra instead of demos.
OpenClaw 2026.4.2 🦞 🔄 Durable Task Flow orchestration 🔓 Better native exec defaults + approvals 🤖 Copilot + Kimi + provider hardening 🔌 Tighter plugin activation boundaries 🛡️ Hardened provider transport + routing Less bloat. More lobster. github.com/openclaw/openc…
@signulll teaches human system optimization. nothing about when your ai agents start optimizing against you overnight. no kill-switch module in any curriculum.
@danmartell if your friends are talking about claude cowork instead of open claw… you need new friends.
@AlexFinn the gap isn't mythos vs sonnet. it's the people who've implemented ai vs the people who haven't even started. you're right to be nervous. mythos just widens something that's already open.
@karpathy your llm council idea helped me tremendously with this concept
@roshanchokshi been experimenting with paperclip. goal-scoped agents that report up instead of running indefinitely. closer to what actually works.
nobody talks about agent drift on long runs. models degrade, context dilutes, outputs silently veer. 24/7 setups need checkpoints, not just autonomy. that's where the real value is.
what is the best tooling for 24-7 inference/agent-driven research? im trying factory but it stops and asks me questions even though i have 'auto' mode on. tbh i think this is an even bigger killer app than LLM chatbots. who else is out there doing it?
@pmarca the unspoken part: agents in prod don't replace labor, they concentrate it. hiring surge is in orchestration. humans becoming the conductor not the musician. every agent deployed 3-5x the oversight/iteration/monitoring headcount. the jobs aren't gone, they're harder to build.
the problem nobody building multi-agent systems will admit: the agents don't fail. the coordination does. one agent hallucinates. another acts on stale data. the third makes an irreversible call. you don't catch it until it's already downstream. "autonomous agents" is a marketing term. practitioners call it ghost management.
the best legal departments figured out something most haven't. the lawyer's job isn't just to protect the company. it's to make every internal employee obsessed with working with legal again.
lawyers don't want another tool to log into. the contract review feature getting the most traction: cc an email address. get a redline back. that's it. no new app. no new workflow. just email.
pasting a prd into an ai and saying "build this" doesn't work. the job is breaking it into phases small enough that an agent can't fail.
every founder i know has a version of the same habit: keep a notes app, a notion page, a slack thread, and a voice memo. all for the same thought. we weren't disorganized. we were waiting for something that could hold context the way we do. that's what an actual AI teammate does.
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