Complete AI Training

AI app for customer support · no coding needed

Shared inbox triage and reply workbench

Reduce time to first reply while keeping every message under named-owner review.

Made for: Support and operations teams managing shared email inboxes

What Shared inbox triage and reply workbench looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Shared inboxes mix urgent customer requests with routine mail, so replies are slow, inconsistent and hard to track.

What it gives you

Reviewed reply drafts and a prioritised queue linked to each message

What you give it

Connected mailboxescontact recordscalendar eventsteam rules

Build your own version of Dirac, ReplylessAI and more

One app with what these 10 AI tools do, yours to keep and change: Dirac, ReplylessAI, Cora, Slashy Assistant, Supamail AI, Quartz, Vida, Revo AI Email Assistant, EmailTriager, Superhuman 2.0.

Everything these tools do, in one app

  • Inbox sorting and prioritization Automatically organizes incoming messages by importance or category so users can focus on what matters.Found in Dirac, ReplylessAI, Cora and 5 more
  • Reply drafting in user's voice Generates email replies that match the user's personal writing style and tone.Found in Dirac, Cora, Slashy Assistant and 4 more
  • Daily brief or summary Provides a digest of recent emails or key items to review quickly.Found in Dirac, ReplylessAI, Cora and 2 more
  • Learning from user feedback Adapts to user corrections and preferences over time to improve accuracy.Found in ReplylessAI, Cora, Quartz
  • Background email handling Performs automated actions like archiving, starring, or sorting without user intervention.Found in Dirac, Slashy Assistant
  • Multi-account support Manages multiple email accounts within a single interface.Found in ReplylessAI, Slashy Assistant
  • Context from external tools Pulls information from other apps like Slack, CRM, or calendars to inform email handling.Found in Slashy Assistant, Vida, Revo AI Email Assistant
  • Privacy-focused processing Keeps email data secure through local processing or strict privacy measures.Found in Supamail AI, Quartz, Vida
  • Meeting briefings Prepares summaries that combine calendar events, notes, and emails for meetings.Found in Slashy Assistant, Revo AI Email Assistant
  • Automation rules Allows users to set up triggers or rules for email actions based on schedules or events.Found in Slashy Assistant, Vida
  • Attachment handling Reads and extracts information from email attachments to use in replies.Found in Revo AI Email Assistant
  • Natural language search Enables searching emails using plain language queries.Found in Superhuman 2.0
  • Keyboard shortcuts Provides quick navigation and email handling through keyboard commands.Found in Superhuman 2.0
  • Read status indicators Tracks whether emails have been read or engaged with.Found in Superhuman 2.0
  • One-click replies Generates and sends quick responses with a single action.Found in Supamail AI
  • User confirmation before actions Requires explicit approval before making changes to emails or files.Found in Vida

How it works, step by step

  1. Sort and prioritise incoming messages by category and urgency
  2. Draft replies in the user's writing style
  3. Produce a daily brief of key items to review
  4. Learn from user corrections and preferences
  5. Handle background actions such as archiving, starring and sorting
  6. Manage multiple mailboxes in one interface
  7. Pull context from Slack, CRM and calendars
  8. Keep email data within agreed privacy boundaries
  9. Prepare meeting briefings from calendar, notes and email
  10. Apply user-defined automation rules and schedules
  11. Read and extract information from attachments
  12. Search mailboxes with plain-language queries
  13. Support keyboard shortcuts for navigation and handling
  14. Track read and engagement status per message
  15. Offer one-click replies for approved drafts
  16. Require explicit user confirmation before sending or changing mail

Build it yourself with your AI system

Build this app yourself, no coding needed

Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.

Sign in to see how to build it yourself

Build a quick version to try, or get the full app pack for Shared inbox triage and reply workbench with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.

Sign in Become a member

4 Have it built for you days to a few weeks

Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Shared inbox triage and reply workbench with you.

Have Nexibeo build it

What's in the app pack

Included in the Complete AI Training membership.

  • The building instructions your AI follows, step by step
  • The questions your AI will ask you about your business before it starts
  • A clickable demo you can open in your browser, to see how it should work
  • A detailed blueprint of the screens, the information it keeps and the checks it runs

Become a member to get the app packAlready a member? Sign in

The files, for the technically curious
  • START-HERE.mdHow to build it with your own AI (read first)3 KB
  • README.mdOverview and links4 KB
  • questions.mdQuestions to answer before you build2 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
  • prompt-vps.mdThe same build on your own server (Docker)25 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
  • demo/index.htmlThe working demo on sample data197 KB

Questions

Do I need to know how to code?

No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.

What does it cost?

The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.

How long does it take?

The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.

Can I change it to fit my business?

Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.

More detailsHow the AI works, safeguards and what to build first

Reduce time to first reply while keeping every message under named-owner review. For support and operations teams managing shared email inboxes, convert connected mailboxes, contact records, calendar events and team rules into reviewed reply drafts and a prioritised queue linked to each message. The benefit is a testable hypothesis, measured through time to first reply and share of messages handled within the agreed service target; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect connected mailboxes, contact records, calendar events and team rules, then follow this sequence: 1. Sort and prioritise incoming messages by category and urgency. 2. Draft replies in the user's writing style. 3. Produce a daily brief of key items to review. Resolve uncertain cases with qualified reviewers, approve reviewed reply drafts and a prioritised queue linked to each message, and measure time to first reply and share of messages handled within the agreed service target against a documented baseline.

How the AI works

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One connected mailbox set and one agreed service target; final sending and customer commitments remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve customer data boundaries, source attribution, message accuracy and usage permissions. Named owners approve substantive replies and sending scope. One connected mailbox set and one agreed service target; final sending and customer commitments remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

What to build first

Pilot scope: One connected mailbox set and one agreed service target; final sending and customer commitments remain human. Implement one approved input format, a bounded representative case set and the first two task modules: sort and prioritise incoming messages by category and urgency; draft replies in the user's writing style. Support the third module with operator review: produce a daily brief of key items to review. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

What it can connect to

Customer-owned mailboxes, contact records and permitted internal sources. Cloud storage, calendar, CRM and messaging destinations. Start with file exchange and validate destination specifications before promising direct sending. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

The screens in detail

Primary screens: Inbox connection and rules, Triage queue and reply drafting, Daily brief and reporting. Use a list of connected mailboxes and a prioritised queue, a large central message view with a draft panel, and a right-hand panel for contact context, attachments and comments. Let users compare draft versions side by side. Display new, drafted, awaiting approval and sent states. Provide a shared team view with assignment and read status. Make the task-specific outcome reviewed reply drafts and a prioritised queue linked to each message visible beside its evidence, review state and value baseline.