Complete AI Training

AI app for customer support · no coding needed

Shared inbox email drafting and reply coordination portal

Reduce reply drafting time while keeping one approved voice across the team.

Made for: Support and account teams handling shared inboxes and recurring email replies

What Shared inbox email drafting and reply coordination portal looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Replies are written from scratch, tone and facts drift between agents, and no one can see which messages still need an answer.

What it gives you

Reviewer-approved reply drafts linked to the original thread

What you give it

Connected mailbox threadsapproved templatestone rulesrecipient context

Build your own version of MailWizard, Ready to Send and more

One app with what these 4 AI tools do, yours to keep and change: MailWizard, Ready to Send, Respondable, Volamail.

Everything these tools do, in one app

  • AI email generation Generates email content using AI based on user input or context.Found in MailWizard, Ready to Send, Volamail
  • Email client integration Works within existing email clients like Gmail and Outlook.Found in MailWizard, Ready to Send
  • Multilingual support Supports writing emails in over 50 languages.Found in MailWizard
  • Audience tailoring Tailors emails for specific recipient groups such as clients, colleagues, or supervisors.Found in MailWizard
  • Inbox management Helps users focus on actionable items in their inbox.Found in MailWizard
  • Contextual reply generation Generates draft replies that are aware of the email context.Found in Ready to Send
  • Customizable templates Provides templates that can be customized for responses.Found in Ready to Send
  • Draft editing Allows users to edit or regenerate AI-generated drafts.Found in Ready to Send
  • Custom instructions Lets users set instructions for handling different response scenarios.Found in Ready to Send
  • Data security Ensures email data is handled securely and privately.Found in Ready to Send
  • Real-time writing feedback Provides immediate suggestions while composing an email.Found in Respondable
  • Response likelihood prediction Predicts how likely an email is to get a response.Found in Respondable
  • Writing style analysis Analyzes the user's writing style to identify strengths and areas for improvement.Found in Respondable
  • Tone optimization Guides users to adjust the tone for politeness, positivity, and subjectivity.Found in Respondable
  • Data-driven recommendations Generates advice based on patterns from millions of messages.Found in Respondable
  • API integration Allows sending emails through API calls for easy integration.Found in Volamail
  • Open source and self-hosting Provides an open source dashboard that can be self-hosted on AWS.Found in Volamail
  • Collaborative editing Supports team workflows with collaborative editing features.Found in Volamail

How it works, step by step

  1. Connect shared mailboxes and import threads
  2. Generate reply drafts from thread context
  3. Apply approved templates and custom instructions
  4. Tailor drafts to recipient group and language
  5. Flag actionable inbox items and unanswered threads
  6. Score response likelihood and tone before sending
  7. Give real-time writing feedback while composing
  8. Analyze writing style and suggest improvements
  9. Support collaborative editing and comments
  10. Compare the reviewed result with the recorded baseline and value assumptions
  11. Capture corrections and named-owner approval before sending
  12. Send through API or the connected mailbox
  13. Export a versioned reviewer-approved reply draft linked to the original thread with source references and unresolved questions

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 email drafting and reply coordination portal 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 email drafting and reply coordination portal 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 data196 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 reply drafting time while keeping one approved voice across the team. For support and account teams handling shared inboxes and recurring email replies, convert connected mailbox threads, approved templates, tone rules and recipient context into reviewer-approved reply drafts linked to the original thread. The benefit is a testable hypothesis, measured through approved replies per agent hour and corrections after sending; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect connected mailbox threads, approved templates, tone rules and recipient context, then follow this sequence: 1. Connect shared mailboxes and import threads. 2. Generate reply drafts from thread context. 3. Apply approved templates and custom instructions. 4. Tailor drafts to recipient group and language. Resolve uncertain cases with qualified reviewers, approve reviewer-approved reply drafts linked to the original thread, and measure approved replies per agent hour and corrections after sending 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 approved template library; final sending and factual checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve sender voice, source attribution, quotation accuracy and usage permissions. Named reviewers approve substantive changes and sending scope. One connected mailbox set and approved template library; final sending and factual checks 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 approved template library; final sending and factual checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: connect shared mailboxes and import threads; generate reply drafts from thread context. Support the third module with operator review: apply approved templates and custom instructions. 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

Connected mailboxes, approved template libraries and permitted CRM records. Cloud mailbox storage, email client import/export and sending 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: Mailbox connection and rules, Draft review queue, Team performance and delivery. Use a queue list for threads, a large central thread and draft canvas, and a right-hand panel for templates, tone rules and recipient context. Let users compare draft versions side by side. Display draft, changes requested and approved states. Provide a shared queue view with comments anchored to the relevant message. Make the task-specific outcome reviewer-approved reply drafts linked to the original thread visible beside its evidence, review state and value baseline.