Meta’s Muse AI finally fixed Facebook Marketplace

Meta launched Muse AI this month, September 2026, a personal AI agent that can browse, connect to authorized services, send messages, negotiate, make approved purchases, and continue working in the background. I recently downloaded it and tried it out on Facebook Marketplace. Right out of the gate, it fixed Facebook Marketplace.

Marketplace has 430 million items and 44 million vehicles listed every month, and even with those huge numbers, for me, transactions frequently stall because of bad search results, dead listings, lowball offers, repetitive “Is this still available?” messages, and abandoned Messenger threads. I have thought about starting several projects, including EveryCarInTheWorld and even EveryBoatInTheUniverse, precisely because there is such a massive amount of data available and it is still so difficult to actually do deals on Marketplace. Muse AI immediately addresses much of that friction by searching listings, filtering by price, location and condition, comparing options, remembering past interactions, and handling follow-ups. Here are three workflows to test its capabilities:

1. Product Search: Ask it to find and rank five specific products within your budget and driving distance.

2. Conversation Management: Have it review your current Marketplace chats, distinguish active conversations from dead ends, and draft follow-up responses for your review.

3. Listing Creation: Provide photos of an item you want to sell and ask it to draft the listing, suggest pricing, prepare answers for common questions, and coordinate pickup details.

This immediately makes me think about what arbitrage opportunities there might be on Marketplace, Gary Vee style, buying low and selling high across a wide range of products. But that knowledge gap will probably be small and close quickly as more people start using Muse.

It reminds me of buying collectibles in Los Angeles as a kid with my mom during the early days of eBay in the 1990s (eBay launched September 1995 as AuctionWeb). I remember finding collectibles for almost nothing in thrift stores, listing them on eBay, and making small profits. Over a few years, that arbitrage and knowledge gap slowly closed. First the niche eBay sellers and collectors caught on. Then the thrift-store employees caught on. Then the thrift stores themselves. Eventually, even the people giving the stuff away understood that some of it had real value… eBay created the arbitrage opportunities and then over time mostly closed them.

With this AI agent, I’m reminded of OpenClaw, Hermes Agent, and my own Stobon and Beast Mode experiments. They all point to the same broader shift this year: the real breakthrough is not just smarter chatbots, but AI models equipped with tools, memory, context, and enough agency to complete multi-step tasks. Dropped into Meta’s ecosystem of 3.6 billion daily active people, Muse has the potential to transform a historically frustrating marketplace into a much more efficient transaction network.

This is the evolution of AI agents in one year: OpenClaw made autonomous agents exciting to technical people, Hermes made them easier to use, and Muse is about to make them mainstream. Meta does not need to teach billions of people why agents matter. It can quietly place one inside Marketplace, Messenger, and the apps they already use. That will create new arbitrage opportunities almost overnight, but it will also close those gaps faster than anything we have seen before. The first people using Muse may find overlooked listings, mispriced inventory, and inefficient sellers. Then everyone gets the same intelligence, the same comparisons, and the same ability to act. The opportunity opens, accelerates, and disappears.

Try out those three experiments and let me know what works, what fails, and whether it ultimately helps you complete a transaction.

David Levine Bramante
Founder, CodexDeus
Software Development
+1 (310) 906-5459
david@codexdeus.com
codexdeus.com