agentplain

Glossary

The words we use, defined.

agentplain talks about a service partnership, a fleet, and run-for-you AI. Here's what each of those means — in plain English, with no hand-waving.

Service partner
The human (and the team behind them) who installs agentplain inside your business, runs the recurring reviews, and customizes the fleet as your operations change. A service partner is your single point of contact — not a ticket queue — and the reason agentplain is run for you rather than handed to you to configure.
AI service partnership
A model for adopting AI in which a provider installs, runs, and continuously customizes an AI system inside your business for a monthly price per seat — instead of selling you a tool and leaving you to operate it. agentplain is an AI service partnership: a vertical-aware fleet of AI agents plus a human service team that runs it for you.
Run-for-you vs. DIY (configure-it-yourself)
Two ways to adopt AI. DIY tools hand you a model and a configuration screen and expect you to design the workflows, wire the integrations, and keep it current yourself. Run-for-you means a service team does all of that and operates the system on your behalf. agentplain is run-for-you, not configured by you.
The fleet
agentplain's unit of work: a set of single-job AI agents, set up for a line of work, that read the tools you connect and draft the recurring work. For real estate today, that is your new leads in Follow Up Boss and your email in Gmail. "The fleet" is the unit — agentplain never sells by agent count.
Draft-then-approve
agentplain's core safety pattern: the fleet drafts and proposes, but every customer-facing output lands in an approval queue as a pending item that a human reviews and sends. The fleet never sends, files, or moves money on its own — the human is always the one who acts.
No-outbound architecture
A design constraint: agentplain's system has no path to send messages, file documents, or move money on its own. It advises and drafts; you send from your own email, with your name on the message. This is what makes draft-then-approve a guarantee rather than a setting.
Vertical-aware AI
AI that is built around the specific workflows, deadlines, integrations, and compliance language of one industry — rather than a horizontal, general-purpose tool. agentplain ships a separate fleet, integration list, and compliance corpus for each vertical it serves.
Compliance corpus
The per-vertical body of regulatory rules and trigger language agentplain uses to flag risk in a draft before a licensed human reviews it — for example, HUD-enumerated fair-housing phrases for real estate. The corpus flags for a person to decide on; it never makes the legal determination, and liability for licensed activity stays with your firm.
Managed AI operations
Running a business's recurring operational work — triage, drafting, scheduling, follow-up, reporting — through an AI fleet that a service team installs, monitors, and tunes. agentplain's category: managed AI operations for local businesses.
On-ramp surface
An honest landing page (agentplain's is /general) for a local business outside the ten named verticals. It offers the same service partnership and fleet with lighter scaffolding — no vertical-specific compliance corpus. If a business needs that depth, agentplain scopes it as a Custom engagement.

Want to see it in practice? Compare agentplain to the alternatives or find your vertical.