Production RunAnthropic ClaudeMemory v2
DeepBook V3 Liquidity Analysis
Prompt
Analyze DeepBook V3 liquidity mechanics and explain the intent-based order matching system for intermediate DeFi users. Include script, storyboard, subtitles and compliance check.
Agent Lifecycle
Research Agent
Indexed DeepBook V3 docs, 4 community audit reports, and on-chain TVL data.
walrus_0xRES_b1b2c3d4e5f6bb01
Script Agent
Draft script complete: 120 seconds, 5 acts. Intent-based order metaphor used.
walrus_0xSCR_b1b2c3d4e5f6bb02
Storyboard Agent
Generating 6 keyframes from script. Applying visual_style from Memory v2...
walrus_0xSBD_b1b2c3d4e5f6bb03
Compliance Agent
Pending storyboard completion...
Publisher Agent
Final staging...
[INT. DIGITAL VOID - 1990S AESTHETIC] NARRATOR (V.O.): "In a world of stagnant orderbooks, one protocol dares to predict the future. Welcome to the DeepBook dimension." VISUAL: A low-poly grid stretches to infinity. Neon lines pulse with liquidity flows. NARRATOR (V.O.): "DeepBook is Sui's native central limit order book — the liquidity backbone for every DEX, every protocol, every trader." VISUAL: Orders stack like glowing cassette tapes in a cosmic jukebox. NARRATOR (V.O.): "Synchronous. Immutable. Faster than light-speed trading on a dial-up connection." [CUT TO: DeepBook Predict dashboard] NARRATOR (V.O.): "DeepBook Predict lets liquidity providers submit intention-based orders, reducing slippage and improving price discovery." SUPER: "This is educational content, not financial advice."
Ready to Publish
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