Convilyn docs

Choosing the right lane

Convilyn has two lanes: Turbo Lane for predictable conversions, Goal Lane for AI-driven work. The decision is usually quick.

Quick rule

  • Input and output are both specific? → Turbo Lane
  • You want the AI to read, think, or decide? → Goal Lane

If you find yourself describing the output in terms of meaning ("summarize", "extract", "rewrite", "tailor", "judge"), you want Goal Lane. If you're describing a format change ("convert", "compress", "transcribe"), you want Turbo Lane.

By example

| What you want to do | Lane | |---|---| | Convert a JPG to PNG or WebP | Turbo | | Merge two PDFs into one | Turbo | | Compress an image to a smaller size | Turbo | | Transcribe an audio file into text | Turbo | | Summarize a PDF's contents | Goal | | Pull risk clauses out of a contract | Goal | | Generate meeting minutes from a recording | Goal | | Add subtitles with auto-chapter markers | Goal | | Convert a transcript file to SRT | Turbo | | Turn a long report into short social posts | Goal | | Build a tailored job pack from a resume | Goal | | Run OCR on scanned receipts | Turbo |

Cost expectations

Turbo Lane charges a fixed amount per job. The cost depends on the input type, not on content complexity. Useful when you need predictable spend.

Goal Lane cost scales with workflow complexity. Each template shows an estimated cost based on your input size before you run it. Useful when output quality matters more than tight cost control.

Tip — start with the template list

For Goal Lane, the easiest entry point is the template gallery in the product. Each template carries a clear goal description and an estimated credit range. Pick the one that matches your goal, upload the input, and check the estimate before running.

Where to go next