AI app for it and development · no coding needed
Agent-owned email inbox control plane
Give every agent its own email identity with reviewable controls, so teams stop renting several agent-email tools and stop routing agent mail through human inboxes.
Made for: Engineering teams running AI agents that need to send and receive email
What it does for you
The problem
Agents either borrow a person's inbox or run on rented email tools that cannot be inspected, approved or self-hosted.
What it gives you
Source-linked agent message records with approval and audit history
What you give it
Agent identitiesapproved mail domainspermission stagesmessage ruleswebhook endpoints
Build your own version of Inbix, MailMolt and more
One app with what these 4 AI tools do, yours to keep and change: Inbix, MailMolt, Nitrosend, Loomal.
Everything these tools do, in one app
- Dedicated agent inboxes Provides each AI agent with its own email address so it can operate without accessing a person's inbox.Found in Inbix, MailMolt, Nitrosend and 1 more
- Send and receive email Lets agents send outbound messages and receive inbound mail as part of their workflows.Found in MailMolt, Nitrosend, Loomal
- API-first access Exposes email functions through APIs so developers can automate inbox creation and message handling.Found in Inbix, MailMolt, Nitrosend and 1 more
- MCP client integration Connects to MCP-compatible AI clients so agents can interact with email directly.Found in Inbix, Nitrosend, Loomal
- Webhook forwarding Forwards incoming emails to a webhook endpoint for real-time reactions without polling.Found in Inbix
- Message threading Groups related emails into conversations so agents can follow context.Found in MailMolt
- Message search Allows agents to search through emails to find relevant messages quickly.Found in MailMolt
- Semantic search Uses embeddings to retrieve emails based on meaning rather than exact keywords.Found in MailMolt
- Progressive trust model Starts agents with limited permissions and lets them earn higher autonomy through stages.Found in MailMolt
- Human approval gates Requires a person to confirm before agents send bulk or sensitive emails.Found in Nitrosend
- Human escalation Flags conversations involving sensitive topics for a person to take over.Found in Nitrosend
- Deliverability guardrails Verifies domain authentication and monitors sending to protect email reputation.Found in Nitrosend
- Encrypted secret vault Stores agent secrets securely with rotatable keys to avoid hard-coding credentials.Found in Loomal
- Per-action 2FA Adds two-factor authentication to each agent action and logs authentication events.Found in Loomal
- Audit trail Records agent actions and authentication events for troubleshooting and oversight.Found in Loomal
- Web console Provides a visual interface to monitor agent inboxes, vault entries, and activity.Found in Loomal
- Configurable inbox expiration Lets developers set how long a disposable inbox remains active before deletion.Found in Inbix
- Self-hosting option Allows running the email platform entirely on your own infrastructure.Found in Inbix
How it works, step by step
- Create a dedicated inbox and address per agent
- Send outbound mail and receive inbound mail for each agent
- Expose inbox creation and message handling through APIs
- Connect MCP-compatible AI clients to agent mailboxes
- Forward inbound mail to a webhook endpoint
- Group related messages into threads
- Search messages by keyword and metadata
- Retrieve messages by semantic similarity
- Assign agents a progressive trust stage with limited starting permissions
- Require human approval before bulk or sensitive sends
- Escalate sensitive conversations to a named person
- Check domain authentication and monitor sending reputation
- Store agent secrets in an encrypted vault with rotatable keys
- Require per-action two-factor authentication and log the event
- Record agent actions and authentication events in an audit trail
- Provide a web console for inboxes, vault entries and activity
- Set configurable expiration for disposable inboxes
- Support self-hosted deployment on the buyer's infrastructure
- Compare the reviewed result with the recorded baseline and value assumptions
- Export a versioned source-linked agent message record 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 Agent-owned email inbox control plane 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.
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 Agent-owned email inbox control plane with you.
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 Cloudflare27 KB
- prompt-vps.mdThe same build on your own server (Docker)27 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
Give every agent its own email identity with reviewable controls, so teams stop renting several agent-email tools and stop routing agent mail through human inboxes. For engineering teams running AI agents that need to send and receive email, convert agent identities, domain settings, permission stages and message rules into a source-linked assistant and administrator console that shows every send, receive, approval and escalation. The benefit is a testable hypothesis, measured through approved agent messages per operator hour and unapproved or duplicate sends per thousand messages; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect agent identities, domain settings, permission stages and message rules, then follow this sequence: 1. Create a dedicated inbox and address per agent. 2. Send outbound mail and receive inbound mail for each agent. 3. Expose inbox creation and message handling through APIs. 4. Connect MCP-compatible AI clients to agent mailboxes. 5. Forward inbound mail to a webhook endpoint. 6. Group related messages into threads. 7. Search messages by keyword and metadata. 8. Retrieve messages by semantic similarity. 9. Assign agents a progressive trust stage with limited starting permissions. 10. Require human approval before bulk or sensitive sends. 11. Escalate sensitive conversations to a named person. 12. Check domain authentication and monitor sending reputation. 13. Store agent secrets in an encrypted vault with rotatable keys. 14. Require per-action two-factor authentication and log the event. 15. Record agent actions and authentication events in an audit trail. 16. Provide a web console for inboxes, vault entries and activity. 17. Set configurable expiration for disposable inboxes. 18. Support self-hosted deployment on the buyer's infrastructure. Resolve uncertain cases with qualified reviewers, approve source-linked agent message records, and measure approved agent messages per operator hour and unapproved or duplicate sends per thousand messages 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 approved mail domain and a fixed set of agent identities; final send authorization and escalation decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve agent identity, source attribution, message accuracy and usage permissions. Named people approve bulk or sensitive sends and escalation scope. One approved mail domain and a fixed set of agent identities; final send authorization and escalation decisions 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 approved mail domain and a fixed set of agent identities; final send authorization and escalation decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: create a dedicated inbox and address per agent; send outbound mail and receive inbound mail for each agent. Support the third module with operator review: expose inbox creation and message handling through APIs. 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
Agent-owned mail domains, authorized webhook endpoints and permitted AI clients. Cloud secret storage, identity providers, ticketing and logging destinations. Start with file exchange and validate destination specifications before promising direct delivery. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Agent inbox list, Message thread and approval queue, Vault and audit console. Use a left rail for agents and inboxes, a central thread view with source links, and a right-hand panel for permissions, trust stage and escalation state. Let operators compare a draft send against the approval rule that applies. Display active, paused, expired and escalated states. Provide a webhook and API log view with request and response references. Make the task-specific outcome source-linked agent message records visible beside their evidence, review state and value baseline.
