Stop pasting prompts into ChatGPT 20x a day. Deploy an AI agent that knows your business and works while you sleep. No code. No servers.

Joined March 2026
103 Photos and videos
Freelancers: your AI agent should be triaging your inbox while you sleep. If it's not, you're leaving money on the table.
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Mistake 2: No feedback loop. They deployed and walked away. No monitoring. No iteration. No learning. Agents aren't software you ship. They're employees you train.
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Mistake 3: Wrong mental model. Treating agents like software (deploy once, maintain quarterly) instead of like new hires (onboard, train, evaluate, coach). The companies that succeeded? They assigned someone to manage the agent. Like a person. rapidclaw.app/blog/42-percen…
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42% of companies abandoned their AI agent projects last year. Up from 17% the year before. More than doubled. They all made the same 3 mistakes:
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Mistake 1: Over-scoping. "Let's build an agent that handles ALL customer support." Successful companies started with one narrow task. Failed ones tried to boil the ocean on day one.
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Adobe didn't upgrade Experience Cloud. They killed it. The replacement: CX Enterprise. The product: AI agents they're calling "Coworkers." A $4.3B product line, replaced by autonomous agents.
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What Adobe's Coworkers actually do: - Persistent memory across sessions (they learn your brand) - Autonomous campaign execution - Cross-channel optimization without human approval - Self-improving based on performance data This isn't Sensei with a rebrand. It's a fundamental...
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88% of companies have already had an AI agent security incident. 82% of executives feel confident their security policies are working. That 6-point gap is where the real crisis lives.
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The scariest part isn't the incidents. It's the audit trail gap. Most companies can't trace what their agents actually did. - Which data was accessed? - What decisions were made? - Who authorized the action? The answer is usually: "We don't know."
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Microsoft just flipped a switch. Copilot Agent Mode is now ON by default for 400M Office users. Agents autonomously edit your Word docs, build Excel formulas, and redesign your PowerPoint slides. Without asking first.
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What changed: Old Copilot: "Here's a suggestion, want me to apply it?" Agent Mode: *already applied it* Word: rewrites paragraphs, restructures documents Excel: writes formulas, cleans data, builds charts PowerPoint: redesigns slides, adjusts layouts All autonomous. All def...
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The sabotage playbook: - Entering garbage data to make agents look incompetent - Deliberately choosing slower manual processes - Reporting false errors to trigger rollbacks - Sharing proprietary data with public AI tools instead It's not laziness. It's a coordinated survival...
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But here's the twist: companies that introduced agents WITH employee training saw 340% higher adoption. The difference wasn't the technology. It was whether workers felt replaced or augmented. The full breakdown: rapidclaw.app/blog/employees…

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29% of employees admit to sabotaging AI agents at work. Not ignoring them. Actively undermining them. Feeding bad data, gaming metrics, unplugging systems. Here's what's actually happening:
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The sabotage playbook: - Entering garbage data to make agents look incompetent - Deliberately choosing slower manual processes - Reporting false errors to trigger rollbacks - Sharing proprietary data with public AI tools instead It's not laziness. It's a coordinated survival...
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But here's the twist: companies that introduced agents WITH employee training saw 340% higher adoption. The difference wasn't the technology. It was whether workers felt replaced or augmented. The full breakdown: rapidclaw.app/blog/employees…

RapidClaw retweeted
Apr 20
Mark Cuban just described the largest wealth transfer of the AI era. Almost nobody understood what he said. Cuban: “There are 33 million companies in this country. Aren’t going to have AI budgets. Aren’t going to have AI experts.” Not tech startups. The shoe store. The regional trucking outfit. The accounting firm with 12 employees. The businesses that actually run the physical economy. They know AI is coming. They have no idea what to do with it. Cuban: “You’ve got the head of Microsoft saying software is dead because everything’s going to be customized to your unique utilization.” Software is dead. The SaaS era ran on one rule. Build a generic product. Force millions of companies to bend their workflows around it. Charge rent forever. AI ends the contract. The business stops bending to the software. The intelligence bends to the business. But customized by whom. The third-generation manufacturer cannot tell Claude from Gemini. The county hospital is staring at a reactor asking where the light switch is. Cuban: “Who’s going to do it for them?” That question is worth more than the frontier models themselves. Hundreds of billions are being burned to build the foundation. The smartest engineers alive are locked in a bloodbath over who owns the base layer. Let them fight. Let them burn the capital. Let them drive the cost of raw intelligence toward zero. Because the wealth does not collect where the brain is built. It collects where the brain meets the business. Every ambitious kid in college right now thinks survival means a seat at OpenAI or Anthropic. Cuban is staring at the other 99 percent of the economy. Learn the models. Then learn the messy, unglamorous reality of how a 50-person company actually operates. Walk through the door. Understand their problems. Wire the intelligence directly into their revenue. That is not a job title. That is an entire economic class being born. You do not need to build the brain. You need to build the nervous system. The biggest winners of the electricity era were not the engineers who built the generators. They were the ones who walked into dark factories and showed the owners where to plug in. 33 million companies are standing in the dark right now. Silicon Valley is racing to build the god. The fortunes will belong to whoever teaches him a trade.
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