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Meta Muse for research is strongest at monitoring topics and reading long files. It shows sources only when you ask, so every number it hands back needs a check.

Instinct AI runs your life errands from a text thread and acts as you. Town AI learns your work inbox and asks before it sends. Here is how they really compare.

Meta Muse for recruiting works as one recruiter's assistant for briefs, scheduling drafts and digests. Its terms bar it from hiring decisions without human review.

Instinct AI acts as you from a text thread. Meta Muse works on a cloud computer you can watch and asks before it sends or spends. Here is how the two really compare.

Meta Muse for sales works as a rep's assistant for briefs, inbox and follow-up drafts. It has no HubSpot or Salesforce connector, and Meta gives selling to a different product.

Instinct AI preps your own meetings well: clash checks, travel time and inbox briefs by text. For customer calls, the history it can't see lives in your helpdesk.

An honest Town AI review: how the Townie learns your work, what routines and integrations it runs, what it costs, and the jobs it isn't built for.

How to use OpenAI Dots for research: recurring watch lists, read-only proactive research, when to use deep research or ChatGPT Work instead, and how to check what your dot finds.

How to use OpenAI Dots for recruiting: interview scheduling, candidate briefs, debrief nudges, and ATS updates, plus the Ashby, Greenhouse, and hiring-policy limits that matter.