AI without control becomes another chore
If you cannot choose the model, shape the tone, define the rules, or review the work, you do not have automation. You have another draft to babysit, rewrite, and worry about.
AutoEmail exposes email state, draft actions, spam insights, and business context through a dashboard and a clean agent API.
Inbox
4 businesses · 41 conversations
The problem
AI can research markets, write code, plan campaigns, and reason over private data. Yet the channel where customers, leads, partners, and urgent problems arrive every day is still trapped in tabs, generic filters, disconnected tools, and manual replies.
If you cannot choose the model, shape the tone, define the rules, or review the work, you do not have automation. You have another draft to babysit, rewrite, and worry about.
Different projects, brands, clients, and mailboxes all demand separate logins and separate context. Your day starts with account switching before you even know what needs judgment.
You can give AI your code, your calendar, your CRM, and your files. But the inbox where leads, customers, partners, and problems arrive is still locked behind a human-only interface.
Generic filters bury real opportunities and let obvious noise through because they were trained for everyone. What counts as junk should be your policy, not someone else's average.
You edit the same phrasing, fix the same assumptions, and reject the same bad instincts. Nothing compounds. Every email starts from zero instead of learning how your business thinks.
Outreach, follow-ups, open tracking, lead response, and performance data live in separate tools or nowhere at all. The channel that should create growth becomes a manual backlog.

Founder
AutoEmail is shaped by the reality that inboxes are not generic message streams. They are customer promises, sales opportunities, operational exceptions, and founder-level judgment calls. The product keeps AI close to the work while preserving review, auditability, and context.
The solution
AutoEmail turns every mailbox into one governed AI system: model choice, business context, draft control, custom classification, outreach, analytics, and an agent API built so humans stay in control while AI does the work.
Choose the model, set the prompt, tune tone and style, and keep approve, edit, decline, or regenerate actions close to every draft. Speed comes with control, not blind trust.
Connect every project, brand, client, and business mailbox in one workspace while preserving its own sender identity, knowledge, contacts, rules, and history.
Approvals, edits, declines, spam corrections, and knowledge updates become reusable operating memory, so the system gets sharper with every real conversation.
Classify incoming mail with confidence scores, custom rules, thresholds, and correction lessons, so the system enforces what your business considers noise.
Give LLMs structured access to read, draft, reply, send, and report across approved inboxes with scoped keys, rate limits, idempotency, and review modes.
Let AI prepare outbound emails and follow-ups from the right business, then measure opens, clicks, replies, throughput, and momentum in the same system.
Loved by operators
The winning landing page can swap in real customer stories later; these prototype quotes are structured to test the section rhythm now.
“AutoEmail feels like someone finally designed email operations around owner judgment instead of trying to replace it.”
“The business separation is the detail that matters. Every inbox has its own context, rules, and replies.”
“We wanted an API an agent could understand and a dashboard our team would actually use. AutoEmail gives us both.”
“I used to lose customer requests inside one long inbox. Now the queue tells me what needs review and what can wait.”
“The spam score and approval flow changed the rhythm of the day. We reply faster without letting automation run wild.”
“Every client inbox has different facts. AutoEmail keeps the context separate while giving us one workflow to manage it.”
“It is rare to see a dashboard that works for the team and still exposes the structure our agents need through the API.”
“AutoEmail feels like someone finally designed email operations around owner judgment instead of trying to replace it.”
“The business separation is the detail that matters. Every inbox has its own context, rules, and replies.”
“We wanted an API an agent could understand and a dashboard our team would actually use. AutoEmail gives us both.”
“I used to lose customer requests inside one long inbox. Now the queue tells me what needs review and what can wait.”
“The spam score and approval flow changed the rhythm of the day. We reply faster without letting automation run wild.”
“Every client inbox has different facts. AutoEmail keeps the context separate while giving us one workflow to manage it.”
“It is rare to see a dashboard that works for the team and still exposes the structure our agents need through the API.”
How it works
The workflow mirrors the dashboard: connect, configure, triage, review, and improve.
01
Add each business inbox with IMAP and SMTP credentials.
02
Add business context, knowledge, spam rules, and preferred tone.
03
AutoEmail imports, scores, groups, and surfaces messages by status.
04
Open drafts, edit details, approve sends, or decline with feedback.
05
Analytics and lessons make the next draft faster and more accurate.
Features
These prototype pages are meant to test positioning, but the content maps directly to existing dashboard capabilities and planned API-first workflows.
Unified inbox with status tabs, search, pagination, and business filters
Human-in-the-loop draft approval with regenerate and decline feedback
Spam threshold controls, custom rules, learned lessons, and reanalysis
Contacts, calendar, sent tracking, analytics, and secure settings
PWA-ready dashboard with public docs and agent API endpoints
Integrations
AutoEmail keeps the surface simple while connecting mail, identity, AI, contacts, calendar, analytics, and API workflows underneath.
Inbound mailbox import
Approved outbound sending
Text model routing
Reactive app data
Authentication and users
Agent endpoints and keys
Contact import and export
Business event context
API
The API story is a major differentiator for GEO, AEO, and agentic UX: structured state beats screenshots, scraping, and brittle inbox heuristics.
Open API docsAgents can list emails, inspect detail, and understand status without scraping UI.
Actions remain authenticated, rate-limited, idempotent, and scoped to the account.
The API reference lives at /docs and exposes the contract for automated clients.
Pricing
Prototype
Start hereKeep one inbox organized while you prove the workflow.
Free forever
Operator
PopularFor founders and small teams on live customer email.
Billed annually ($504/yr)
Team
For teamsFor agencies running multiple inboxes from one place.
Billed annually ($1524/yr)
Agentic
AutonomousFor teams building agent workflows on inbox state.
Billed annually ($4068/yr)
Out of volume? Add extra AI-processed emails anytime - a flat $30 per 1,000, the same on every plan.
FAQ
Short answers for the first objections a buyer or evaluating agent will raise.
AutoEmail is built around human review. AI drafts the reply, but users can approve, edit, decline, or regenerate before sending.
Ready when your inbox is
Start with one business inbox, test the workflow, then scale into the design direction that wins.