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9 contributions to AI Agents CLI | AI Automations
Stitch + Codex CLI + MCP: Agentic AI Design Workflow
New workflow experiment: I used Google Stitch as the design surface, then connected the process with Codex CLI + MCP as an agentic iteration layer. The first working UI direction came together in ~5 minutes. This is not about replacing design taste. It is about compressing exploration and turning AI generation into a repeatable workflow. If you want, reply STITCH and I’ll share the setup path. Try you own workflows from here: https://sell.systems
Stitch + Codex CLI + MCP: Agentic AI Design Workflow
History transcript in Codex CLI
Quick Terminal Tip for AI Lab ✅ Press ESC twice on your keyboard (or click the web terminal ESC button) → it will instantly show you the full history transcript. To exit the transcript view, just press q. Super useful when you want to scroll back through longer conversations or outputs without losing context! Let me know if this helped or if you have other terminal shortcuts you use.
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Rebuild the OpenClaw video workflow
This course shows the full OpenClaw path from one Telegram request to a finished AI video. Watch the build, then try to map the workflow you would reproduce first in your own setup. After watching, answer one question: Which part would you rebuild first — the Telegram control flow, the Veo 3.1 step, the D-ID step, or the free webterminal practice setup at https://sell.systems/mod/assign/view.php?id=215
One Request -> First Working Telegram System
This is the first full business-use-case build in the lab. The important part is not just that a Telegram pipeline works at the end. The important part is that the AI agent builds the first working version inside a real environment, and the same system can keep evolving afterwards in the same context. After watching, answer this: If you had this workflow in your own environment, what would you change first — sources, formatting, approval logic, or delivery path?
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Upgrade the Stack: From Basic to Real Workspace
This lesson is where the environment stops feeling basic and starts becoming a real operator workspace. We switch from Gemini to Codex, connect Dropbox, and make the agent more useful inside the working context. After watching, tell me this: What matters more for your work right now — stronger coding, native tools, or a better multi-agent flow?
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Iurii Paimurzin
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@iurii-paimurzin-1048
AI systems builder focused on low-code automations, API workflows, and practical AI environments that turn requests into working systems.

Active 14h ago
Joined Aug 24, 2025
Ho Chi Minh City