
Day 3 of building an AI-reliability startup as a solo 16 year-old: After 2 nights of coding and debug with my beta users, proud to launch JanexAI CLI! Now you can analyze your repositories for security and quality vulnerabilites right on the spot! You can even tell AI agents to https://t.co/uAo9VAXJRh
The Hook
“(No spoken dialogue) Silent real-time screencast of package installation.”
Problem Agitation
“(No spoken dialogue) Invoking the help utility and storing credentials.”
Product Reveal
“(No spoken dialogue) Entering the verbose scan command targeting a remote GitHub repository.”
Feature Teaser
“(No spoken dialogue) Rapid terminal output detailing critical vulnerabilities and suggested remediation steps.”
Call to Action
“(No spoken dialogue) Detailed Cursor-ready fixes and local JSON report command display.”
Synthesizable in Remotion · key components of the raw-cli-product-walkthrough template.
Simulates realistic character typing with variable delays and immediate multiline stdout log bursts.
Use Remotion interpolate on frame intervals with randomized character increments and conditional line-break render blocks.
Executes a localized smooth scale and translate punch to spotlight terminal commands then eases back out.
Wrap the canvas in a motion div using spring physics for scale and transformOrigin targeted at cursor coordinates.
Renders terminal severity tags and highlighted file paths using high-contrast developer theme colors.
Parse log strings into tokens and map bracketed severity prefixes to styled Remotion span tags.
Purpose. Demonstrate the immediate accessibility of the package manager install.
Execution. Typing pip install command on an empty terminal window.
Purpose. Showcase low friction onboarding and API token storage.
Execution. Command execution leading to instant positive authentication message.
Purpose. Prove real-time vulnerability scanning against an actual codebase.
Execution. Passing repository URL with verbose flag triggers dynamic zoom.
Purpose. Highlight value with production-ready, structured Cursor fixes.
Execution. Color-coded vulnerability findings and structured fix lists streamed to buffer.
Objective
Launch an AI database optimization CLI tool.How the recipe adapts
The terminal types install commands for the database analyzer, runs an index audit against a production schema, punches into latency bottlenecks, and displays executable migration scripts.Scene durations (5 scenes, 47.8s)
Key Remotion components

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Agentic CLI for coding, building apps, and automating workflows.