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 flat fee — 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, pre-trained for a vertical, that read your email, calendar, CRM, and documents and draft the recurring work between your tools. "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; your existing email, calendar, CRM, and e-signature tools are what actually execute, 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.