Making $$$ with Meta Muse AI

The episode’s central idea is to use Meta Muse to build small, city-specific matching agencies: find people seeking a service, identify providers in public online communities, and connect the two for a fee. The host’s examples include matching Orlando families with night nurses and searching for Montreal night nurses, where one listing quoted C$30 per hour. These are proposed business opportunities, not evidence that the model has already produced paying clients.

Muse can search public listings and Instagram, then organize leads by name, stated need, price, and signals that may help assess trustworthiness. When the host specifically asked it to look in Facebook groups for night nurses, it found leads the host regarded as particularly strong. That access has a limit: Muse cannot search private groups unless the user has joined them. Even after gathering results, an operator needs to check their quality and judge which details matter to prospective customers.

The host sees a curated database as a potential long-term asset, not merely a list of leads. The suggested progression is to discover providers and customer needs on other platforms, move the information into an independently maintained resource, and improve it with details such as pricing and trust signals. From there, an operator could build an audience through a focused group or niche page, then develop software to automate more of the work. The possible end products include a niche SaaS business or a vertical agent, though the episode presents these as a path to explore rather than a guaranteed outcome.

The speaker is more interested in matching service providers found through groups than in buying and reselling physical goods from Marketplace. For goods, the proposed opportunities are listings that may be mispriced or poorly presented: items with weak photos or descriptions, listings that have remained up for a long time, and pickup-only offers where a buyer might negotiate or resell. Muse can also examine Instagram bios, comments, and stories, and help generate content ideas or manage an account. These capabilities broaden the potential uses, but the service-matching model remains the episode’s main focus.

The host describes linking Muse to a phone service so an agent can contact prospects by call or text and potentially book appointments or close sales. The host identifies Blende AI’s Agent Line as one possible connection, describing it as a roughly $15 plan with a non-VoIP U.S. number and talk and text. The proposed workflow could therefore extend from finding and organizing leads to outreach and booking, but the episode does not establish how reliably an agent can handle those interactions or convert prospects.

The host estimates that Facebook groups have 1.8 billion monthly active users, qualifying the figure with “if I’m not mistaken,” and speculates that more automated searching could raise the value of owning groups or niche business and Instagram pages. The host is unsure whether buying Facebook groups complies with Facebook’s terms and advises checking the rules. Muse pricing is also framed as a practical constraint: the speaker upgraded to a $100-per-month plan, mentions a free tier and a possible $200 tier, and believes higher tiers provide more tokens and access to a stronger model called “Muse Wonderful,” rather than “Spark.” The recommendation is to start free and upgrade as clients and revenue grow; the host sees Muse as a strong personal-agent contender but is uncertain how long the opportunity will last.