From Books to Prompts: The Instant Future of Productivity
Early adopters are testing productivity systems in hours instead of weeks. The signals suggest AI prompts will eventually subsume the $30 book market.
Early adopters are testing productivity systems in hours instead of weeks. The signals suggest AI prompts will eventually subsume the $30 book market.
Nvidia's $110B vendor financing strategy mirrors Lucent's telecom bubble playbook. Analyzing customer concentration, GPU-backed debt, depreciation schedules & cash flow patterns to assess AI bubble risks.
AI demands unified infrastructure. Learn how Netflix & Stripe rebuilt their stacks with vector databases, context layers & real-time observability to fuse data & AI systems.
Discover how Google's Agent Development Kit patterns reduced LLM token usage by 41.2% & cut costs by 41.7%. Learn the unified tool approach that transformed dozens of specialized Ruby tools into enterprise-grade agent automation with built-in safety & state management.
GEPA (Generative Pareto optimization) revolutionizes AI writing by discovering multiple optimal posts across quality dimensions rather than chasing a single score. Learn how this efficient frontier approach produces better content strategy.
AI companies like OpenAI & Anthropic are growing at unprecedented rates, far exceeding traditional T3D2 frameworks. Explore how AI transformation, larger contracts, & defensive incumbents are reshaping growth expectations & IPO requirements.
Explore how AI transforms organizational structures. From traditional pyramids to short pyramids (85% headcount reduction) & rocket ships. Learn which team configurations work best for sales, R&D, & customer success in the AI era.
Google processes 574x more AI tokens than Microsoft Foundry. Explore the massive scale differences in AI inference: Google at 32.7 trillion daily tokens reveals the hidden scale of AI processing.
Why the mental models we've built for human interfaces don't work for AI, & how Anthropic's latest guidelines are reshaping tool design for better performance & efficiency.
Analysis of 200 Model Context Protocol tools shows developers prioritize infrastructure & search over entertainment. 54% of MCP usage focuses on code generation, debugging & terminal access - revealing AI adoption patterns.