agentplain

Intelligence rooted in reality.

We lift up local businesses by doing the work that takes their time and money away from the people they serve.

The best AI tools are powerful. Most owners don't have time to figure them out. We do it for you.

agentplain is the service partner that runs it. We bring the pre-built skills and agents you'd otherwise have to build yourself, manage the memory that keeps it useful, connect the tools you already run, and operate the whole thing for a low flat fee — plug-and-play, not a configure-it-yourself project. You stay in control: the fleet drafts and proposes; you approve and send. We run the operation; you run the business.

More relationship building. More of the work you enjoy. Less of the work that takes your time and money away from the people you serve.

Plaino, the agentplain service dog, standing watch over a working plain at first light.
Plaino, standing watch on the plain

The shape of it

Your tools in. Drafts out. You approve. Nothing sends on its own.

The fleet reads what's already in your systems, does the work that lives between your tools, and lands every result in your queue. You stay the only one who hits send.
your toolsemail · calendar · crm · docsthe fleet readscategorize · draftschedule · coordinateyour approval queueyou sit hereyour tools sendnothing leaves until your name is on it.

A powerful tool you could run yourself — or a partner who runs it

The best AI tools are powerful. We make them actually usable.

Capable general-purpose AI tools are real, and some are cheap or free. But they hand you a horizontal model and expect you to figure out which skills to write, which agents to build, what to put in memory, and how to wire your tools. Most owners don't have the time — or the engineer. agentplain brings all of that pre-built, manages it for you, and runs it for a low flat fee. You don't configure it; we run it.

Pre-built skills + agents

You don't figure out what skills to write or what agents to build. We bring the per-vertical fleet — the jobs your industry actually needs — ready on day one.

Memory, managed

The persistent context the fleet needs to stay useful long-term — what to remember, what to prune, what not to let go stale — we curate and maintain it. You never touch a config file.

Low-cost, plug-and-play

One bundled flat fee. One Connect button per integration. No per-skill setup, no prompt engineering, no months of configuration before you see value.

A resource, not a tool

A human-staffed service partner installs it, runs reviews, and customizes as your ops shift. Done-for-you — not configure-it-yourself.

The model is the engine. The service is the difference. That's the part you can't get by signing up for the model alone.

Why we exist

Local business owners spend most of their week on the work they don't love.

Email triage, copying data between tools, drafting boilerplate, scheduling, status updates — 60–70% of the week, in most surveys. The work that built the business in the first place — client relationships, judgment calls, growing the book — gets the leftover time.

The status quo

The CRM nags. The compliance flag fires after the draft goes out. The lead routes to whoever opens the inbox first. The production report happens twice a year because nobody has time. The owner answers everything because nobody else can keep the threads straight.

The inversion agentplain delivers

The fleet does the systematic work. The practitioner does the relationship work. Solo practitioners compete on operational depth. Mid-size firms compete on agility. The leveling effect is the long-term thesis.

How it works

Read. Categorize. Coordinate. Schedule. Draft.

Five steps, every fire. The crew runs the same loop on every inbound thing — an email, a Pub/Sub push, a webhook from your CRM. It runs in the background, all day, on its own. You touch it when you choose to.

01

Read.

Pull the message, parse the thread, find the newest reply. The crew never starts from a blank prompt — it starts from what just landed.

02

Categorize.

Decide what kind of thing it is — a real lead, a scheduling ask, a vendor pitch, noise, an admin note, something you'd want a draft of. The categorization is workspace-tuned, not a generic chatbot guess.

03

Coordinate.

Walk back the thread, summarize what's already been said, pick up the referenced documents. The draft is grounded in the workspace's actual files, not the model's training prior.

04

Schedule.

When something needs a time, propose slots inside your stated hours — never outside them, never without checking what's already on your calendar.

05

Draft.

Write the reply in your voice, grounded in your files and the edits you've made before. Hand it to the approval queue. Nothing leaves without your name on it.

The chain runs every five minutes against your inbox backlog and reacts to push events as your tools are connected. There is no idle hour where the crew has stopped working.

Tell us once, and it adjusts

Onboarding captures your tone, your default hours, and the categorization quirks of your business — and those choices ride into every prompt every fire. Every edit you make to a draft becomes a learned note: “Owner shortened the draft by 22%, removed ‘pleased to assist.’”The very next fire sees what you taught — no model retraining, no waiting. Every signal is workspace-scoped and append-only.

It sounds like you because it works from your files

Connect a file source — a Drive folder of past offers, playbooks, objection-handling notes — and the crew ingests it into a workspace-scoped knowledge store. Every draft prompt pulls the most-relevant snippets and writes against them.

Today the file source runs against on-disk fixtures for the inbox-loop demo path, and Google Drive lands the same way the moment the OAuth scopes are connected on your /integrations page. The pipeline doesn't change — just the source flips from fixture to live.

Plaino carrying a sealed envelope stamped with the clay 'a' to the approval queue.

Nothing leaves without your name on it

Every draft — a buyer reply, an admin acknowledgement, a scheduling proposal — lands in your approvals queue as aPENDING row. Nothing in the architecture sends anything outbound. The crew advises and drafts; you execute, from inside your own email, calendar, and CRM, where your name and your domain are already on the message.

What makes us different

Five things you won't get from a generic AI tool.

Generic AI is horizontal and self-serve — you figure it out. agentplain is a service partnership: we pick three jobs on day one and run them for you. We REPLACE the manual work that lives between your tools. We INTEGRATE with the systems you already pay for. We AUGMENT the human judgment you keep. Each unique below is a commitment your service partner owns — not a feature you configure.

01

Vertical-aware

A real-estate agentplain knows MLS workflows, fair-housing copy, broker-of-record rules. A CPA agentplain knows tax-prep deadlines and e-file conventions. Each vertical ships with its own JTBD table and compliance corpus — generic AI tools don't.

02

You stay in control

The fleet drafts and proposes; it never auto-sends, never moves money, never makes commitments. Every customer-facing output queues for your review. Your existing CRM and inbox handle every send.

03

Integrates, not replaces

Sits on top of the tools you already pay for — your CRM, your inbox, your transaction system, your accounting. No migration. The fleet replaces the manual work that lives between them.

04

Built BY agents

The same fleet model we sell builds our own product. The pattern works because we run it on ourselves — a brokerage in production today running ~35 cron-fired agents on daily ops is the working precursor we productized.

05

Compliance-first

Deep in real estate today: the sentinel runs a literal-phrase scan against HUD-prohibited fair-housing copy on every customer-facing draft. The corpora for the other nine verticals are drafted with the regulatory citations in place but are loaded as drafts — they don't fire until counsel red-lines them. We don't assert a regulatory violation the runner can't literally pattern-match.

A day in the life

What the fleet drafts before you open the laptop.

One concrete example. The scenario, what a practitioner does today, what changes after the fleet lands. Every vertical page carries its own version.

Real estate · solo agent

Sarah's counter-offer lands Tuesday 9:14pm. She wakes Wednesday at 6:30am.

Today

Open dotloop, pull the counter, scan the buyer's agent thread, find three comparable closings in MLS, draft a response in Outlook. ~45 minutes before her first showing.

With agentplain

The fleet has already drafted the counter-offer response, summarized the buyer's agent's response history across this transaction, and surfaced three comparable closings from the brokerage's own past-listing files in Drive. Sarah reviews, edits one number, then signs and sends from her transaction system (once dotloop is connected, the draft drops straight into it).

Outcome

Four minutes instead of forty-five. The fleet drafts; Sarah's broker-of-record review stays in place; she sends from her own transaction system.

What the fleet knows on day one

A working knowledge base, not a blank prompt box.

The fleet doesn't start cold. Before a customer signs up, the knowledge substrate already ships pre-loaded with vertical-specific jobs-to-be-done, the value-loop skill docs the runner consumes, a per-vertical compliance corpus, and the ratified product doctrine that grounds every draft. Counts below are computed at build time from the actual rows the substrate loads — not aspirational, not invented.

143

Vertical knowledge chunks

Per-vertical hero, JTBD per role, ROI math, claims, integrations, and day-in-the-life example. Indexed across the ten locked verticals plus the /general on-ramp.

43

Compliance rules

Per-vertical regulatory rules drafted with the citation in place. The real-estate fair-housing literal-match scanner (HUD-enumerated trigger phrases) fires today; the other verticals' rules are loaded as drafts and don't fire until counsel red-lines them.

10

Skill + architecture docs

The five value-loop skills (read / categorize / coordinate / schedule / draft) plus the architecture chunks that describe how the runner composes them.

12

Ratified doctrine docs

Locked positioning, pricing, brand semantics, mission, design language, and architectural decisions — so every draft reflects today's truth, not the model's training prior.

Counts are computed at build time from the rows the substrate actually loads. Nothing here is aspirational.

Rooted in reality

Here's what we mean by ‘rooted in reality.’

Four things we can point at today. Not magic, not pixie dust — real product, real operators, real outcomes. We don't claim 'built for X' without the per-vertical compliance corpus + JTBD tables; we don't claim 'integrates with X' without the value-loop demo. The bar is functional, not marketing.

Eat our own cooking

agentplain is built BY a fleet of agents, not a human engineering team. The brokerage running in production today is the working precursor of this model — the pattern is real, not theoretical.

Compliance corpus is real, not vapor

The real-estate fair-housing rule (HUD's enumerated trigger phrases) is a literal-match scanner that fires on every customer-facing draft today. The other verticals' rules are drafted with the regulatory citation in place but loaded as drafts — they don't fire until counsel red-lines them, and we say so plainly rather than claim coverage we don't have.

ROI math, not vibes

Value math anchored at $2,900–$10,600/mo per practitioner against $99–$199/mo per-seat subscription — typical ROI multiple 15x to 50x per workflow, plus the regulatory violations a draft-then-approve loop keeps from ever sending. Every claim traceable to a memory rule.

Open feedback loop

Every agent action is visible in the workspace. Nothing happens behind the curtain — handoffs, drafts, compliance flags, all auditable inside the product.

Pricing + ROI

Affordable access to enterprise-grade tools — with the service team that runs them.

Three ways to partner with us. Every tier includes the fleet, the per-vertical compliance corpus, and a service team that installs, reviews, and customizes alongside you. The calculator below is anchored to Regular; Partner adds priority support and a quarterly check-in; Max is quoted to scope.

Your numbers

practitioners

Solo practitioner = 1. Full firm headcount = N. 100+ → /custom.

hours

Email triage, lead follow-up, scheduling, drafting boilerplate, status reports. Conservative: 8–15.

$/hour

Opportunity cost when the practitioner does relationship/judgment work instead. Not W2 cost.

Monthly outlook · agentplain Regular

Subscription cost

$199

1 seat @ $199/seat · 7-day free trial

Automation value recovered

$4,300

10 hr/wk × $100/hr × 4.3 wks × 1 seat

Total value

$4,300

Automation value

ROI multiple

22x

Value delivered per dollar of subscription, at the inputs above. Typical range 15x to 50x — illustrative, and capped here at the 50x we'll substantiate; your numbers will vary with the hours you actually reclaim.

Violation avoidance: this multiple counts only reclaimed hours. It does not price the regulatory violations a draft-then-approve loop keeps from ever sending — TCPA, fair-housing, RESPA, SEC Marketing Rule and the rest carry per-violation penalties an auto-execution tool can't promise to dodge. Real ROI sits above the number above.

7-day free trial across every Regular and Partner seat band (14 days for CPA + Law), card at signup. 14-day money-back guarantee.

Regular

Standard service partnership.

Our team installs the fleet, configures it for your vertical, and runs a monthly review. Day-to-day, the fleet drafts inside the workspace you log into.

Solo (1 seat)$199/seat/mo
2–9 seats$179/seat/mo
10–24 seats$149/seat/mo
25–49 seats$119/seat/mo
50–99 seats$99/seat/mo
Start free trial

7-day free trial. Month-to-month. Per seat.

Partner

Named partner

Priority support + a quarterly check-in.

Same fleet, plus priority support and a quarterly async check-in with your service team — a faster line and a regular pulse on the fleet as your ops shift.

Solo (1 seat)$299/seat/mo
2–9 seats$279/seat/mo
10–24 seats$249/seat/mo
25–49 seats$219/seat/mo
50–99 seats$199/seat/mo
Talk to a service partner

7-day free trial. Month-to-month. Per seat.

Max

Ad-hoc service partnership.

For firms whose ops don't fit the productized shape — quoted to scope, not by seat. Talk to us about what you need and we'll come back with a written engagement.

Quoted per engagement

sales-led

Talk to us

Sales-led — no self-checkout.

What ships with every tier

  • — A service partner who installs and runs reviews
  • — Human review on every customer-facing output
  • — Liability for licensed activities stays with you
  • — Per-vertical compliance corpus — real-estate scanner fires live; others gated until counsel review
  • — No data resold; no client list used to train models
  • — You own the work product

Outside the tiers?

Bespoke compliance corpus, white-label, custom integration to a tool off the roadmap, 100+ seats — anything the productized tiers don't cover, we scope as a Custom engagement on /custom. Different from Max (which is a service-partnership tier with non-standard scope): /custom is engagement work against a written spec.

Build with us →

Where we're going

Local businesses can thrive through access to affordable, best-in-class tools and services.

That's the vision. Local businesses have been over-rotated toward administrative work for two decades — CRMs, scheduling, compliance, status reports — and the judgment work that built the business gets squeezed. We're betting that changes.

Q8

The future of work

AI doesn't replace local business owners; it changes which parts of the job they do. The fleet takes the systematic work; the owner gets back the judgment work — client relationships, deal architecture, advisory. Affordable access to the operational depth that used to require an enterprise budget is the leveling effect we're building toward.

Q9

Why now

Models got good enough in 2025 to do real categorization, drafting, scheduling on real-world data — not benchmarks. Vendor APIs (Gmail, Outlook, every major CRM) stabilized enough to build multi-tenant integrations. Compliance frameworks (TCPA, GLBA) are clear enough to build per-vertical corpuses against. Early enough to define the category, late enough that the tech actually works.

Questions worth asking

The honest version.

What is agentplain?

A service partnership for local businesses. Your service team installs a fleet of capable AI partners inside your shop, configures it for your vertical, runs reviews on a regular cadence, and customizes the agents as your ops shift. The fleet reads from your existing tools — email, calendar, CRM, transaction systems, accounting — categorizes what matters, drafts what you'd otherwise type, schedules what needs scheduling, and coordinates across threads. The fleet drafts; you decide. We run the operation; you run the business. Built for ten verticals: real estate, mortgage, insurance, property management, title & escrow, recruiting, home services contractors, CPA / tax firms, law firms, and RIA / wealth practices.

What does the service partner actually do?

Five things. (1) Install — the partner sets up the fleet, connects your tools, loads your vertical's JTBD table and compliance corpus, and runs the first week alongside you. (2) Review — a recurring touchpoint (a monthly review for Regular; priority support plus a quarterly async check-in for Partner) covering what the fleet drafted, what got approved, what needs tuning. (3) Customize — when your ops shift (new compliance rule, new transaction system, new comp model), the partner updates the agents so you don't have to. (4) Escalate — if a draft hits a hard call, the partner brings it to you with the context. (5) Translate — when something looks off, the partner is your single human contact, not a ticket queue.

Is this just an AI chatbot with extra steps?

No, and not even close. A general-purpose AI chatbot is a horizontal tool you have to drive yourself. agentplain is a service partnership: vertical-aware fleet (MLS workflows, tax-prep deadlines, IRS filing windows, fair-housing language — whatever your vertical needs) plus a service team that installs and runs it. The fleet works in the background and surfaces drafts for your review; you don't prompt it to do its job. And you don't operate it — we do.

How is this different from the AI tools I could buy myself?

A capable general-purpose AI tool hands an owner a horizontal model and expects them to figure out which skills to write, which agents to build, what to put in memory, and how to wire their tools. agentplain brings all of that pre-built: the per-vertical skills and agents you'd otherwise build yourself, the memory we curate and maintain so it stays useful, the integrations connected for you, and a service team that installs, runs reviews, and customizes for your shop — all for a low flat fee. You're not buying a tool; you're getting it run for you.

What if I just want the tool, not the service?

agentplain isn't sold without the service. The product is the partnership — install, run, customize — not a self-serve platform you wire together yourself. If you want to assemble your own agents from scratch, the foundation-model APIs are open and you can build on them; that's a different product than what we sell. The reason we run it for you is that the vertical-specific corpus, the integration plumbing, and the compliance posture are where local businesses bleed the most time — and those are exactly the layers a generic tool won't solve for you.

How is this different from existing vertical software?

Most vertical software adds another dashboard for someone to maintain. agentplain integrates with the CRM, inbox, transaction system, and accounting tool you already use — and replaces the manual work that lives between them. Your service partner does the integration work, not you. Drafting every email. Writing every listing or proposal. Building every status report. Chasing every deadline. You keep your tools.

Can my firm actually use it today?

Yes. You sign up free, your service partner handles the install (connecting your available tools on the /integrations page — email, calendar, document, accounting, e-signature today — loading your vertical's corpus, walking through the workspace), and the fleet starts drafting within the first few days. Every vertical carries ratified JTBD tables and a committed per-vertical integration roadmap; each vertical page shows what's connectable today and what's on the roadmap.

Does the fleet send anything on its own?

No. The fleet drafts, proposes, and advises — your existing systems send. The Compliance Sentinel pre-checks every customer-facing draft. The recruiting agent drafts the opener. The mortgage agent drafts the relock comparison. Every draft queues for the human's review before it leaves your firm. We never auto-send, never move money, never make commitments.

What data do you need access to?

OAuth into your email (Gmail, Outlook), file substrate (Google Drive, OneDrive), spreadsheets (Excel), e-signature (DocuSign), messaging (Slack, Teams), and accounting (QuickBooks Online) — those connect tiles live on the /integrations page today. The vertical-specific feeds — MLS for real estate, AMS for insurance, LOS for mortgage, practice-management for CPA / law / RIA — sit on the per-vertical integration roadmap; your service partner sets up what's available with you on a call and runs the unbuilt ones by hand until those adapters land. The fleet reads what's needed for the task, drafts the response, and returns the draft to your review queue. We don't use your client list to train foundation models.

How does pricing work?

Three tiers of service partnership, all per seat, month-to-month, with a 7-day free trial (14 days for CPA & Law), card captured at signup. (1) Regular — standard partnership, monthly review, $199 solo sliding to $99 at 50+ seats. (2) Partner — everything in Regular plus priority support and a quarterly async check-in with your service team, $299 solo sliding to $199 at scale. (3) Max — ad-hoc service partnership for firms with non-standard scope; quoted to the engagement, sales-led. No setup charges. No long-term contract. 14-day money-back guarantee. Cancel anytime from your billing settings.

What's the difference between Regular, Partner, and Max?

Cadence and depth of support. Regular is the standard service partnership: we install, run a monthly review, and handle tuning between reviews. Most local-business shops fit Regular. Partner is everything in Regular plus priority support and a quarterly async check-in with your service team — for firms that want a faster line and a regular pulse on what the fleet is doing. Max is sales-led: ad-hoc service partnership for firms whose ops don't fit the productized shape — different cadence, different deliverables, quoted to scope.

When would I want Partner instead of Regular?

A few patterns. (1) You want priority support — a faster line when something needs attention — rather than standard turnaround. (2) Your stakes per draft are higher than the average shop (litigation work, wealth management, broker-of-record-sensitive comms) and you want a regular pulse on what the fleet is doing. (3) You want a quarterly async check-in with your service team to step back and tune as your ops shift. If none of those apply, Regular usually fits.

What is /custom and how is it different from Max?

Max is a service-partnership tier — recurring per-seat relationship with non-standard scope. /custom is engagement work: a written spec, a 4–6 week build, a fixed price ($5K–$15K typical plus $200–$500/mo maintenance), then handoff. You'd reach /custom when you need something the productized tiers don't include: a bespoke compliance corpus, a white-label deployment, a custom integration to a tool that isn't on our roadmap, 100+ seats, custom reporting. You can be on Regular OR Partner AND have a /custom engagement in flight at the same time.

What's the ROI math?

Modeled value delivered per practitioner runs $2,900–$10,600/mo — modeled on 8–15 hr/wk of systematic work saved × your productive-hour rate, plus deals closed faster. Against the $99 → $299 per-seat subscription cost depending on tier, the modeled ROI multiple is 15x to 50x per workflow. On top of that sits the regulatory exposure a draft-then-approve loop removes: a non-compliant message (TCPA, fair-housing, RESPA, SEC Marketing Rule, and the like) is caught as a draft, never sent — the one thing an auto-execution tool can't promise to dodge. Run your own numbers in the calculator on the pricing page.

Why should anyone believe you?

Four things. (1) We run the service partnership on flatsbo — our own brokerage — before we sell it. The ~35 cron-fired agents in production there are the working precursor of what we sell, operating on a real local business. (2) Outside counsel is reviewing the per-vertical compliance corpus. (3) Every claim on this site cites a memory rule we can show you. (4) Every agent action is visible in your workspace — nothing your service partner does is behind a curtain.

Is my data safe?

The fleet reads through read-only OAuth and pulls only what a task needs. To do the work, your content is processed by the AI providers that power the fleet and stored in our database under per-workspace isolation. The full data-handling specifics — including the current subprocessor list that names those providers — live in our privacy policy. Liability for licensed activities — anything that requires a state license — stays with you and your firm. We don't act as a brokerage, lender, insurance carrier, law firm, RIA, or any other licensed party. Your service partner runs the AI ops; you run the licensed business.

Is my data resold or used to train someone else's model?

We don't resell your data, and we don't train foundation models — agentplain has no training infrastructure. Your inbox, client list, transaction records, and drafts are not used to build agentplain or anyone else's product on our side. What the AI providers themselves do with API content is governed by their terms — our privacy policy names the subprocessors and links to their data-usage policies.

Who owns the drafts and the work product?

You do. Every draft the fleet produces belongs to your firm — your IP, your record, your liability. We don't claim a license to the work, we don't republish it, we don't analyze it across customers. The fleet drafts on your behalf the way a contractor drafts on your behalf: the output is yours from the moment it lands in your queue.

What happens if I cancel?

Cancel from billing settings anytime — month-to-month from day one. Your seats stop billing at the end of the current month. The fleet stops drafting at that boundary; nothing keeps writing into your tools after you've ended the relationship. Self-serve workspace export is on the roadmap and not shipped yet — if you need your handoff log, approval history, or draft archive before cancellation, ask your service partner. What happens to your data after a workspace closes lives in our privacy policy; we don't use your client list to train models and we don't keep it to relaunch.

What about HIPAA or other regulated-data postures?

Honest answer: agentplain is not currently sold as a HIPAA-eligible service, and the locked ten verticals don't include healthcare (medical is parked per our roadmap). For verticals we DO serve, the regulatory posture is consistent: human review on every customer-facing output, liability for licensed activities stays with you, the per-vertical compliance corpus is counsel-reviewed (TCPA, RESPA, fair-housing for realty; analog corpuses for the other nine). If you have a regulated-data scope outside the ratified ten, route to /custom — we'll scope it as a written engagement or decline honestly, not pretend it's a productized fit.

Intelligence rooted in reality.

We lift up local businesses by doing the work that takes their time and money away from the people they serve.

7-day free trial, card at signup. Month-to-month from day one. Cancel anytime. By the time the trial ends, your service team has either earned its seat or it hasn't — and there's a 14-day money-back guarantee if it hasn't.