Persistent AI agents are designed to retain information, run in the cloud and stay available through channels such as text messages, rather than starting fresh with each Chat. In an article for Social Media Examiner, AI coach Jonathan Mast describes how businesses can onboard these tools, set boundaries and use them for routine work.
Unlike conventional AI chat tools, persistent agents can keep a continuous thread of context and continue operating when a user’s computer is off. Mast says this can help with repetitive tasks, but cautions that agents do not run a business on their own: people remain central to the work, and AI amplifies their skills and experience.
The article discusses four options: Grok Bot, Muse, Dots and Instinct. Mast recommends choosing one and using it consistently so it can build a longer-term understanding of the user’s work. He says Muse and Instinct were free at the time of recording, while Dots required a ChatGPT team or enterprise plan costing $125 per user per month. He also warns that free services involve deciding whether the provider should have access to business data, and notes that AI pricing can change quickly.
Before giving an agent access to company systems, Mast advises setting clear rules about what it can do without permission, where it should save its work and whether it may use the owner’s computer. His baseline restrictions require approval before purchases, file deletion, sharing files, sending messages or making commitments. He recommends allowing the agent to research and prepare independently, while requiring a human’s approval before it contacts anyone or acts on a decision.
Access should be limited to what the agent needs. Mast’s company gives agents permission to use specific shared Google Drive folders rather than the entire drive. He also prefers cloud-based virtual computers for tasks such as email and calendar work, to avoid the agent taking over a user’s screen and to let it continue working when the local computer is off.
Mast says training should cover the business, its customers, products and staff, as well as the individual user. One way to get started is to ask existing AI tools to create a profile of what they know about the user, then provide that material to the new agent. His own training documents included information about his family and team members, including their roles and contact details.
He also recommends giving agents relevant communication preferences. His company keeps employee DISC and Myers-Briggs profiles in a shared reference sheet, which the agent can use to adapt how it presents information to different colleagues. Mast says the goal is to preserve the company’s voice while framing a message in a way the recipient can understand.
For a first workflow, Mast suggests connecting email and calendar accounts, while initially prohibiting the agent from sending messages or scheduling appointments without approval. The agent can sort incoming mail, flag items that need a response, assign other messages to colleagues and review older mail for missed items. Mast says this reduced his own email time from hours on some days to minutes.
Other workflows described in the article include routing work between team members’ agents, updating a shared reporting dashboard, reviewing subscription renewals, and holding a daily task check-in. An agent can also compare calendar entries with meeting transcripts or recordings to track commitments and flag scheduling conflicts. Each workflow depends on the access and approval rules established during setup.
Sources: Social Media Examiner.