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What Doraemon Taught Me About Building AI Agents (2026)The Customer Who Wrote Our Documentation (2026)One Week, Forty People: The First Enterprise Self-Close on Taskade Genesis (2026)
The Frontend Playground Era: Why Lovable, v0, Bolt, and Cursor Are Not the Workspace (2026)Training AI Agents Like Employees: The Reinforcement Loop Most Operators Miss (2026)Fifty Years of Computing Primitives: File to Task (2026)Memory Reanimation Protocol: Why AI Agents Forget and How to Fix It (2026)From Roles to Workflows: How AI-First Companies Redraw the Org Chart (2026)From VisiCalc to Spreadsheet-of-Thought: 47 Years of Giving Non-Engineers Power (2026)History of cPanel & WHM: From a Teenager's Bedroom to the AI Infrastructure Era (2026)The 27-Year Accident: Widrow, Hoff, and the Sigmoid That Wasn't (2026)Bring Your Own Agent (BYOA): The $1M-Per-Employee Era Just Started (2026)Doug Engelbart's 1968 Demo Was Taskade — We Just Finished It (2026)The Genesis Equation: P × A mod Ω (2026)The Execution Layer: Why the Chatbot Era Is Already Over (2026)How to Win With AI in 2026: The Workflow-First Operator's PlaybookSoftware That Runs Itself: The Taskade Genesis Thesis (2026)The Origin of Taskade Genesis: Why We Built the Execution Layer for Ideas (2026)The Micro App Economy: 150,000 Apps In, What the Category Looks Like Now (2026)
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The Taskade Blog

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/static_images/Build your own AI CRM with Taskade Genesis vs paying Salesforce $300 per seat in 2026
Mar 25, 202655 min readAI

Build Your Own AI CRM vs Paying Salesforce $300/Seat (2026)

Salesforce charges $165-330/user/month plus $50+ for AI. A 10-person team pays $9,600-$45,600/year before implementation. Taskade Genesis builds a working CRM from a single prompt for $192/year. Here is the full cost and feature breakdown.

/static_images/How AI agents are breaking the per-seat SaaS pricing model in 2026
Mar 25, 202654 min readAI

The Great SaaS Unbundling: How AI Agents Break Per-Seat Pricing (2026)

Monday.com replaced 100 SDRs with AI agents. Atlassian saw its first seat-count decline. $285B evaporated from SaaS stocks. The per-seat pricing model that powered a trillion-dollar industry is collapsing — and what replaces it changes everything.

/static_images/Garry Tan SaaS prediction scorecard 3 months later — vibe coding vs SaaS data
Mar 24, 202653 min readAI

Garry Tan SaaS Prediction Scorecard: 3 Months Later (2026)

Data-driven scorecard grading Garry Tan's December 2025 predictions about vibe coding killing SaaS. $285B wiped, 150K+ apps built, Zoho fights back. Who was right?

/static_images/History of Obsidian note-taking app — from Dynalist to second brain movement to AI knowledge OS
Mar 24, 202668 min readAI

History of Obsidian: From a Dynalist Side Project to the Second Brain Movement and the AI Knowledge OS Era (2026)

The complete history of Obsidian from Dynalist side project to 6M+ users, the second brain movement, Bases, and the Claude Code + AI knowledge OS era. Updated March 2026.

/static_images/State of Vibe Coding 2026 — Market size, adoption statistics, and industry trends
Mar 23, 202678 min readAI

State of Vibe Coding 2026: Market Size, Adoption & Trends

The definitive data page on vibe coding in 2026. Market size ($4.7B), adoption rates (92% of US developers), platform comparisons, funding rounds, quality metrics, and predictions through 2032.

/static_images/What is NVIDIA? Complete History of Jensen Huang, CUDA, GPUs, AI Revolution, Vera Rubin & More
Mar 23, 202672 min readAI

What is NVIDIA? Complete History: Jensen Huang, CUDA, GPUs, AI Revolution, Vera Rubin & More (2026)

The complete history of NVIDIA from a Denny's booth in 1993 to a $3.4 trillion AI empire. Jensen Huang, CUDA, GPUs, the deep learning revolution, and how NVIDIA powers every frontier AI model. Updated March 2026.

/static_images/The SaaSpocalypse Explained — $285 Billion Wiped from SaaS Valuations in February 2026
Mar 22, 202664 min readAI

The SaaSpocalypse Explained: $285 Billion Wiped, AI Agents Rising (2026)

In February 2026, $285 billion vanished from SaaS valuations in 48 hours. AI agents triggered the biggest software selloff in history. Here is exactly what happened, why, and what comes next.

/static_images/AI-native vs AI-bolted-on software architecture comparison for teams in 2026
Mar 21, 202640 min readAI

AI-Native vs AI-Bolted-On: Why Software Architecture Decides Who Wins (2026)

A CNBC analyst warned that AI-native companies will emerge while incumbents falter. The distinction between AI-native and AI-bolted-on architecture determines which software survives the 2026 disruption and which gets replaced. Here is the definitive framework.

/static_images/History of Mermaid.js: Diagrams as Code
Mar 21, 202647 min readAI

History of Mermaid.js: Diagrams as Code, From a Lost Visio File to 85K GitHub Stars (2026)

The complete history of Mermaid.js — from a lost Visio file in 2014 to 85K GitHub stars, native GitHub support, $7.5M funding, and the AI-native beautiful-mermaid renderer. Every diagram type, live.

/static_images/The Complete History of Computing: From Binary to AI Agents — a visual timeline from mechanical calculators to modern AI
Mar 20, 202668 min readAI

The Complete History of Computing: From Binary to AI Agents — How We Got Here (2026)

The complete history of computing from Babbage's Difference Engine to AI agents and living software. Binary, transistors, CPUs, operating systems, the internet, and the AI revolution — every milestone that brought us here. Updated March 2026.

/static_images/The BFF Experiment: From Noise to Life in the Age of AI Agents
Mar 20, 202653 min readAI

The BFF Experiment: From Noise to Life in the Age of AI Agents (2026)

A deep dive into Blaise Aguera y Arcas's BFF experiment, where self-replicating programs emerged from random noise through symbiogenesis — not mutation. The definitive guide to what BrainFuck, Freedom, and Friends reveals about life, intelligence, and the future of AI agents. Updated March 2026.

/static_images/What Are AI Claws? Persistent autonomous agents that loop independently with sophisticated memory
Mar 20, 202644 min readAI

What Are AI Claws? Persistent Autonomous Agents Explained (2026)

AI claws are persistent autonomous agents that loop independently with sophisticated memory and real-world tool access. Coined by Andrej Karpathy, claws represent the next layer above agents. Learn how they work, see Karpathy's Dobby smart home claw in action, and build your own with Taskade Genesis.

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The Taskade Blog - Exploring Memory, Intelligence, and Flow