AI app for marketing · no coding needed
Email deliverability check and fix workspace
Reduce spam placement and manual deliverability troubleshooting.
Made for: Marketing teams and agencies sending recurring email campaigns
What it does for you
The problem
Messages land in spam because authentication, blacklist and reputation problems are found late and fixes are unclear.
What it gives you
Human-approved fix steps and monitored inbox placement
What you give it
Sending domainsDNS recordscampaign sendsseed-test results
Build your own version of mailX by mailwarm, Hello Inbox and more
One app with what these 3 AI tools do, yours to keep and change: mailX by mailwarm, Hello Inbox, MailAdept by mailwarm.
Everything these tools do, in one app
- Authentication record checks Checks SPF, DKIM, DMARC and MX records to find technical setup problems.Found in mailX by mailwarm, MailAdept by mailwarm
- Blacklist monitoring Checks whether sending domains or IPs appear on blacklists.Found in mailX by mailwarm, MailAdept by mailwarm
- Inbox placement testing Runs campaigns through seed-based checks to predict inbox or spam placement before sending.Found in Hello Inbox
- Plain-language fix steps Turns findings into clear, prioritized instructions for fixing deliverability issues.Found in mailX by mailwarm, Hello Inbox
- AI deliverability coach Uses a trained model to produce specific fix recommendations instead of generic reports.Found in Hello Inbox
- Reputation and spam alerts Tracks domain and IP reputation plus spam rate data and notifies users when metrics shift.Found in Hello Inbox, MailAdept by mailwarm
- Campaign performance tracking Continuously monitors campaign performance and inbox placement to detect unexpected spikes or drops.Found in MailAdept by mailwarm
- Agent API and MCP Lets AI agents run deliverability checks without manual sign-in.Found in mailX by mailwarm
- No-signup quick checks Allows quick verification and testing without creating an account.Found in mailX by mailwarm
- Sender profile setup Lets users define what their business does so advice can be tailored.Found in Hello Inbox
- Campaign comparison history Keeps saved tests in the account so users can ask what changed between sends.Found in Hello Inbox
- Human-approved changes Requires human approval before configuration changes are made to sending infrastructure.Found in MailAdept by mailwarm
- Weekly expert calls Provides regular calls to review objectives, analyze data and adjust strategy.Found in MailAdept by mailwarm
- Dedicated deliverability expert Assigns a specialist to handle daily monitoring and technical adjustments.Found in MailAdept by mailwarm
- Free support calls Includes human support calls for subscribers to resolve edge cases.Found in Hello Inbox
- Free basic audits Offers a free tier for basic audits and quick troubleshooting.Found in mailX by mailwarm
How it works, step by step
- Check SPF, DKIM, DMARC and MX records for setup problems
- Monitor sending domains and IPs against blacklists
- Run seed-based inbox placement tests before sending
- Turn findings into prioritized plain-language fix steps
- Generate specific fix recommendations with an AI deliverability coach
- Track domain and IP reputation plus spam rate and alert on shifts
- Monitor campaign performance and inbox placement for spikes or drops
- Expose an agent API and MCP for checks without manual sign-in
- Allow no-signup quick checks for verification and testing
- Capture sender profile details to tailor advice
- Keep saved campaign tests for comparison history
- Require human approval before configuration changes
- Schedule weekly expert calls to review objectives and data
- Assign a dedicated deliverability expert for daily monitoring
- Provide free support calls for edge cases
- Offer free basic audits and quick troubleshooting
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 Email deliverability check and fix workspace 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 Email deliverability check and fix workspace 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 Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data201 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 spam placement and manual deliverability troubleshooting. For marketing teams and agencies sending recurring email campaigns, convert sending domains, DNS records, campaign sends and seed-test results into human-approved fix steps and monitored inbox placement. The benefit is a testable hypothesis, measured through inbox placement rate and time to resolve authentication issues; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect sending domains, DNS records, campaign sends and seed-test results, then follow this sequence: 1. Check SPF, DKIM, DMARC and MX records for setup problems. 2. Monitor sending domains and IPs against blacklists. 3. Run seed-based inbox placement tests before sending. Resolve uncertain cases with qualified reviewers, approve human-approved fix steps and monitored inbox placement, and measure inbox placement rate and time to resolve authentication issues 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 sending domain and one campaign type; final configuration changes and deliverability decisions remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve sender reputation, source attribution, record accuracy and usage permissions. Domain owners approve substantive changes and sending scope. One sending domain and one campaign type; final configuration changes and deliverability 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 sending domain and one campaign type; final configuration changes and deliverability decisions remain human. Implement one approved input format, a bounded representative case set and the first two task modules: check SPF, DKIM, DMARC and MX records for setup problems; monitor sending domains and IPs against blacklists. Support the third module with operator review: run seed-based inbox placement tests before sending. 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
Author-owned sending domains, authorized DNS access and permitted campaign platforms. Cloud asset storage, ESP import/export and monitoring destinations. Start with file exchange and validate destination specifications before promising direct sending changes. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Sender profile and domain setup, Deliverability check and fix queue, Campaign placement history. Use a dashboard for sending domains, a central findings list with severity and fix steps, and a right-hand panel for evidence, reputation trends and approvals. Let users compare campaigns side by side. Display open, fixing, verified and approved states. Provide a client or stakeholder preview link with comments anchored to the relevant finding. Make the task-specific outcome human-approved fix steps and monitored inbox placement visible beside its evidence, review state and value baseline.
