Session ID: Feb 4, 2026 Operator: Gemini CLI Objective: End-to-End Character Video Production & Distribution
The exact commands used to fix the 3090 environment.
| #!/bin/bash | |
| # π NANO BANANA PRO: RAW ASSET GENERATION PROTOCOL | |
| # Session: Feb 4, 2026 | |
| # Model: gemini-3-pro-image-preview | |
| # Logic: Base64 Reference Injection + Prompt Engineering for Consistency | |
| # 1. PRE-FLIGHT: ENCODE DNA | |
| # Ensure 'riley.jpg' exists in the current directory. | |
| if [ ! -f "riley.jpg" ]; then |
Date: Feb 4, 2026 Target: Riley Guthrie Character Project
Use this in every Nano Pro prompt to maintain identity.
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This manifest lists every specific asset generated, processed, and stored during this session.
Generated locally and uploaded to 3090 (~/ComfyUI/input/).
riley_escalade.png - Luxury pickup shotknicks_cheers.png - POV Toast shotObjective: End-to-end character consistency, video orchestration, and automated distribution.
Hardware: Remote RTX 3090 (192.168.1.143) + Local Orchestrator.
Session Date: Feb 4, 2026
This Base64 string must be injected into the inlineData of every Nano Pro call to maintain facial structure.
This manifest documents the workflows, infrastructure, and automation logic developed for the Riley Character Story project. It is designed to be executed by a sub-agent or used as a blueprint for system replication.
This guide demonstrates how to automate publishing rich-text articles to X (Twitter) using agent-browser, Python, and the MacOS clipboard. It bypasses X's lack of an API for long-form articles by automating the web editor.
Cmd+V) into the browser.Facebook uses hidden <input type="file"> elements that are triggered by stylized UI components. To automate video uploads using the agent-browser CLI, follow this workflow.
Facebook often has multiple hidden file inputs for different media types. Use eval to find the one that accepts video formats (look for video/* or specific extensions like matroska/mp4).
agent-browser eval "Array.from(document.querySelectorAll('input[type=file]')).map(i => i.accept)"OpenClaw is a multi-channel message routing layer wrapped around an embedded "coding agent" runtime (pi-agent-core). It enables AI agents to operate across messaging platforms (Telegram, Discord, Slack, Signal, iMessage, WhatsApp, etc.) with unified tool access, session management, and extensibility.
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Date: January 30, 2026 Achievement: Mass-Production of Industry-Specific SaaS Templates
We have moved beyond "coding assistants" to an Autonomic Software Factory.
In a single autonomous run (Item 100), the Wreckit agent: