Read the language before you read the labels
The first pass is for meaning. Read the complete sentence as language, not as a specimen on a laboratory tray. If you already understand the message, good. If not, use the translation or surrounding context before worrying about a subject tag or verb cue. Annotation is most useful when it sharpens something you have already encountered rather than interrupting every few words.
On the second pass, inspect only the Marks that answer a useful question. Where is the main action? Which part stays stable when the topic changes? Which helper changes the grammar of the main verb? The point is selective attention. Research on textual enhancement gives a reason to take visual salience seriously, but it does not say that more highlighting automatically produces more learning.
Move from the marked sentence to a Frame
A marked sentence is still one example. The next useful step is to ask what can survive when the names, topic or details change. That stable structure becomes a Frame. You are no longer memorising one sentence; you are keeping a construction that can carry new content.
This is where Metkagram differs from decorative highlighting. A colour or tag is not the learning object. It is a pointer from concrete language toward a reviewed reusable form. When the Frame is clear, the Mark has done its job.
Then remove the support
If the only version you can understand is the annotated version, the support has become a dependency. A useful routine therefore fades the Marks. Look at the sentence with cues, hide them, reconstruct the Frame, and produce a different example. Retrieval is deliberately less comfortable than rereading, but that difficulty is part of the practice rather than a defect in the interface.
Metkagram does not claim that this complete workflow is already proven as a product-level learning effect. Research cited here concerns adjacent mechanisms such as textual enhancement, formulaic language and retrieval. The workflow is a research-aware design that still deserves direct comparison with alternatives.
Use annotation where the language actually supports it
Metkagram treats annotation as a language capability, not a universal decoration layer. The current reviewed annotation capability is for English and German. A language can still have useful Frames and examples without Marks; the French pilot intentionally works that way today.
That boundary keeps the idea honest. Annotated reading is valuable when the cues are linguistically reviewed and sparse enough to help. Generating colourful labels for every language before the rules are reliable would create more interface, not more knowledge.