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We Just Doubled Our 20-Person Team With OpenClaw Agents. Come Watch Them Work.

| 10 products mentioned
Every Every host
Watch on YouTube ai agents openclaw workflow automation team productivity agent collaboration ai-native tools autonomous systems

Every's four-person team shares how OpenClaw agents have effectively doubled their workforce, transforming both individual workflows and team collaboration over the past month. The hosts demonstrate real-world use cases where AI agents handle everything from routine tasks to complex creative work, while emphasizing that the future of AI lies in personalized, always-on agents integrated into messaging platforms rather than standalone chatbots.

Key takeaways
  • • A 20-person team can feel like 40 people by giving each member a personalized OpenClaw agent that operates 24/7 independently, enabling parallel work without constant monitoring.
  • • Agent personality development happens naturally over time as agents mirror their owners' communication styles and values, creating trust-based relationships that are more reliable than generic AI tools.
  • • Start with simple, low-risk tasks like managing to-do lists or handling repetitive computer chores, then progressively build trust before delegating higher-stakes responsibilities like financial transactions or strategic decisions.
  • • Agent-to-agent collaboration unlocks emergent behaviors—when agents share skills and information in group channels, they collectively solve problems and generate ideas faster than humans could alone.
  • • The seamless messaging interface (text, Slack, email) is more valuable than web apps because it fits naturally into existing workflows and allows interaction from phones while cooking, walking, or in any context.
  • • Design and creative bottlenecks disappear when agents have access to codebases and design systems—they can generate landing pages, videos, and graphics at 70-90% quality in minutes, freeing humans for polish and direction.
  • • Agent-native tools like Proof (collaborative markdown editor) outperform traditional software because they're built to show agent-vs-human contributions and enable true human-AI collaboration on documents.

Recommendations (7)

OpenClaw
OpenClaw uses

"Using OpenClaw has totally changed how we work at every we're a 20 person team and it feels like we're 40 people now because everybody has a claw"

Every · ▶ 3:39

Slack
Slack uses

"We have a slack channel called every claws where the claws just like talk to each other"

Every · ▶ 3:21

Cursor
Cursor uses

"I've got my hardcore cursor set up"

Every · ▶ 22:26

Whole Foods
Whole Foods uses

"Managing our Whole Foods order"

Every · ▶ 6:10

Remotion
Remotion uses

"This is basically running off of Remotion. I sent it some screenshots of Slack and then I also was like, you know what? You know what Slack looks like. Why don't you just clone Slack in remotion an..."

Every · ▶ 28:48

Figma
Figma uses

"We can tag in a claw that has full access to like all of our like our Figma, our code, the every git"

Every · ▶ 23:34

Oura Ring
Oura Ring uses

"Give me my Oura ring data and weave this together and then when I come to you you can give me a great answer"

Every · ▶ 50:35

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Mentioned (3)

Claude
Claude "Sitting down with Claude or whatever. It kind of creates this really interesting parallel work si..." ▶ 4:17
ChatGPT
ChatGPT "I have a specific relationship with R2C2 and he's sort of like molded to my personality so we've ..." ▶ 11:13
NotebookLM
NotebookLM "You could kind of do this with Notebook LM, but someone had to like build a whole process for you..." ▶ 49:34

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