0x or it didn’t happen.

🚀 Huge moment for @StoryProtocol and the future of AI. Today we’re unveiling Poseidon 🔱 @psdnai .a decentralized data layer built for physical AI. Incubated at Story, Poseidon flips the AI stack on its head by solving the real bottleneck: high-integrity, IP-cleared real-world.

RT @storysylee: <Poseidon: AI’s Full-Stack Infrastructure for IP-Cleared Training Data>. Today, Poseidon is launching: a new infrastructure….

RT @cdixon: Excited to announce we’re leading a $15M seed round in Poseidon, which was incubated by @StoryProtocol and is building a decent….

RT @psdnai: AI is moving beyond the browser and into the real world. The bottleneck? Data. Today we’re announcing a $15M seed round led by….

All 👀 on🔱 @psdnai.

CLIPSE.

RT @storysylee: <The Next Chapter Begins: Welcoming Sandeep Chinchali as Chief AI Officer>. Last week, we shared Story’s Chapter 2. Our vis….

Ready to level up? Start here:. Grab my prompt library: Pick a project idea.Run the 0-to-1 generator prompt.Follow the implementation plan it creates.Ship something by tomorrow. The build-time barrier is dead. What will you create?.

The future belongs to those who can:. Articulate clear visions.Manage AI agents effectively.Iterate faster than ever before. We're in the HTML era of agent design. The frameworks will evolve, but the core skill remains: turning imagination into software through intelligent.

Each prompt is refined from hundreds of iterations. They output PRDs, user stories, technical specs, implementation plans, and kick off step-by-step agentic code development - everything you need to go from idea to deployed app. Copy, customize, ship. My gift to builders who want.

Want my exact prompts that generate these results?.I've open-sourced my battle-tested prompt library:. 0-to-1 App Generator (one prompt → full documentation suite).Feature Optimizer (sequences builds for maximum speed).Implementation Planner (turns ideas into agent-ready tasks).

Tools are just tools:.Claude Code, Cursor, GPT, Gemini - pick what fits. I use different models for different tasks:. Planning: o1.Coding: Claude/Cursor.Debugging: Multiple models comparing approaches. But tools change weekly. Principles are forever.

Culture shift required:. Share prompts like you share code.Document agent workflows like API specs.AI handles implementation; humans own strategy, taste, and ethics.The best developers are becoming the best orchestrators.

Counter-intuitive truth: Linear often beats parallel.Yes, you CAN run multiple agents in parallel. But the most reliable approach? One agent maintaining full context, working sequentially through tasks. When I do use multiple agents, they gather info, not make decisions.

The 2-Strike Rule (saved me countless hours):.1️⃣ Hit an error? Refine prompt once.2️⃣ Still broken? Stop immediately.Clear context. Revert code. Start fresh. Most "bugs" are corrupted state from previous attempts. Fresh start > endless debugging.

Context is your control panel:. Front-load critical info (models focus on start/end).Maintain a living or Cursor Rules file. This serves as your project's constitution. Use "planning mode" before building (shift+tab in Claude Code).Update context.

The MMM Framework that runs everything:. Meta: Before any task, ask: "What's the optimal prompt for this goal?" Add prompt optimizer tools or custom scripts and commands to your workflow. Improved Context = Improved Output.Modular: Break complex builds into focused tasks. One.

The capability unlock is real:.That feature request that seemed impossible? Ship it this week. That technical debt everyone avoids? Refactor it today. That ambitious roadmap? Actually achievable.

Stop building features. Start building systems. Design for continuous agent-human collaboration: shared context files, living implementation plans, and iterative feedback loops. The best systems let AI and human teams build on each other's work continuously.

🌱 Last week I shipped a full SaaS in 3 days. Six months ago that would've taken 3 months. What changed? I learned to orchestrate AI agents like a dev team. Here's my complete playbook + the exact prompts that generate production apps from a single idea 🧵👇.