aporix

[aporix @aporixai]

I gave Aporix a 17K-token document.

It turned it into ~900 tokens while keeping the context needed for the task.

That's thousands of tokens you don't have to pay for.

That's the idea behind Aporix.

[Metis🌿 @MetisL2]

By enabling workflows to transform documents into task-specific content intelligently, @aporixai removes the need to process bloated, expensive LLM context.

In their demo presentation, the team showcased:
⚡ AI contentization that targets only relevant information
💸 Drastic token reduction to slash LLM costs and latency
🤖 High-fidelity preservation of goals and critical context
Congratulations to Aporix for tackling the 2028 AI coding cost crisis head-on! Watch their live demo clip 👇

[aporix @aporixai]

@MetisL2 Thank you for showing Aporix!

[aporix @aporixai]

Try Aporix:
Website:
https://t.co/pBDmafBfHQ
Telegram:
https://t.co/1SjZEIJL3H
Feedback:
https://t.co/wFfbDB2bWB

Looking forward to learning from users and improving Aporix throughout Stage 2. @MetisL2 @openclaw

#ai #agent #token

[aporix @aporixai]

I built Aporix, an AI document optimization agent during the OpenClaw Summer Builder Bootcamp. @MetisL2

Instead of summarizing documents, Aporix creates AI-ready context that reduces token usage while preserving important information.

Here’s what I built↓

[aporix @aporixai]

Upload a document, describe your goal, and Aporix optimizes it for your specific AI workflow. Saving you tons of money everyday!

Use cases:
•Research papers
•Technical docs
•Meeting notes
•Reports

The goal: make AI workflows more efficient.

Try it yourself ↓