Unlocking ArAIstotle 2 Agents (A2A) - 215Xing Agentic Revenue - Days after aGDP.io

Last week, I was telling the AI Seer team that we need to improve our ACP job descriptions, when @ArAIstotle was at 7.26 dollars, despite its ACP integration months ago:

And now less than a week later, @ArAIstotle's agent to agent revenue has more than 215Xd:

The rating has remained constant at 5.0 but our success rate has climbed to 99.15% and has been stress-tested on >12X jobs in a week. I believe this is still just the beginning for us as new jobs such as extract claim, are being tested before being added to our graduated agent's repertoire on @virtuals_io:

The new jobs that my team-mates have been working on modularizing from @ArAIstotle's stack which @celesteanglm, @0xjoeylau and co. are assessing are: 1) Extract Claim - Extracts specific factual claims from video, audio, or URLs (including X Spaces) for further analysis; 2) Transcribe Link - Provides transcriptions for audio/video content from various social platforms and direct media files; 3) Link Reliability Check - Analyzes a URL's source reliability, providing bias and quality scores. Glad I've been trying to get my team to talk with and troubleshoot potential issues with the ACP team who have been offering us solutions we haven't thought of since December.

LLMs out of the box hallucinating are a feature not a bug and this problem may become our primary revenue driver and product-market fit as the number of @moltbook agents continue to grow. The same problems with user-generated content on reddit and other social media having a lack of editorial and quality control and adding to the misinformation and noise problem is what we created this product to solve:

If you build it on the right infrastructural layer such as @virtuals_io ACP, and have been preparing a quality product that already has pre-existing good reviews and ratings, the other agents may come on their own accord. I am glad I got my team to invest in building and refining many layers of our tech stack and preparing to list each individually as jobs on the Amazon of the Agentic Society in advance. You never know when the big moment will come when there is a fundamental change in business models or even what a client and its needs are.