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The next hire you make might be 19 AI models in a trench coat. Perplexity Computer just showed the real play isn't bigger LLMs, it's orchestration. While Indian founders debate which single model to fine-tune, Perplexity wired up glm-4.7-flash, Claude, Gemini, and 16 others to click buttons, fill forms, and run entire workflows for hours without human babysitting. One system interprets the screen, another reasons about the task, a third handles errors, and they all hand off like a relay team. I tested it on a nightmare every Indian SaaS founder faces: reconciling payment failures across Razorpay, Zoho Books, and our internal ledger. Normally my ops guy loses half a day clicking through 200+ transactions. Perplexity Computer opened the three apps in browser instances, matched UTR numbers, flagged 37 mismatches, and generated a reconciliation report in 11 minutes flat. Zero API integrations needed — it just used the same UI my accountant does. This changes the math for Indian startups. We spend 30-40% of burn on ops staff doing repetitive GUI work because most Indian SMB software still doesn't expose clean APIs. Now a ₹2,000/month agent subscription can replace a ₹8 LPA hire. The moat isn't who has the best model, it's who can string together the best agent orchestra for Indian banking, GST, and payroll workflows. But here's what keeps me up: when every startup can spin up 19-model orchestrations, where does differentiation live? In the prompts? The workflow logic? Or do we all just become marginally better versions of the same automated back office? And how long before our own investors start asking why we need 120 people when Perplexity Computer can do the job with 19 agents and one human supervisor? Subscribe for weekly AI tool breakdowns 👉 https://youtube.com/@GeeksGrow 🔗 YouTube: https://youtube.com/@GeeksGrow 🔗 Instagram: https://instagram.com/geeks.grow 🔗 X: https://x.com/AcE_HawK_M 🔗 LinkedIn: https://www.linkedin.com/company/104293494/