
Email deliverability check and fix workspace
Reduce spam placement and manual deliverability troubleshooting.
- For
- Marketing teams and agencies sending recurring email campaigns
- Solves
- Messages land in spam because authentication, blacklist and reputation problems are found late and fixes are unclear.
- Delivers
- Human-approved fix steps and monitored inbox placement
- Built in
- about 5 weeks of creation time, MVP in 6 days
- Investment
- $13,000 for the MVP, $44,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
Reduce spam placement and manual deliverability troubleshooting.
- 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.
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
What goes in, what comes out
- Sending domains
- DNS records
- Campaign sends
- Seed-test results
AI drafts, people review. Technical delivery workspace with managed implementation.
- Human-approved fix steps
- Monitored inbox placement
How it works
The workflow
- InStart with
Sending domains, DNS records, campaign sends and seed-test results
- 1
Confirm the buyer's problem and scope
- 2
Collect sending domains
- 3
DNS records
- 4
Campaign sends and seed-test results
- 5
Then follow this sequence: 1
- OutFinish with
Human-approved fix steps and monitored inbox placement
AI does the heavy lifting, people stay in charge
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.
What your team sees
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.
Accounts and administration
Project ownership, domain versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.
Integrations and data access
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.
How we build it
We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.
- 1
Scoping call
Day 1Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.
- 2
MVP
6 daysOne buyer segment, one recurring use case; first modules: check SPF, DKIM, DMARC and MX records for setup problems; monitor sending domains and IPs against blacklists. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
7 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.
Why we start with an MVP
An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.
- Pick the riskiest assumption. Here: will marketing teams and agencies sending recurring email campaigns use it to solve "messages land in spam because authentication, blacklist and reputation problems are found late and fixes are unclear"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Inbox placement rate and time to resolve authentication issues.
- Measure, then decide. Track inbox placement rate and time to resolve authentication issues; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. 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.
After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around human-approved fix steps and monitored inbox placement. Retain the explicit scope boundary: One sending domain and one campaign type; final configuration changes and deliverability decisions remain human.
What the build depends on. Domain upload and preview, asynchronous check jobs, editable version history, reviewer access and tested export formats. High-fidelity production requires specialist deliverability QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One sending domain and one campaign type; final configuration changes and deliverability decisions remain human.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: check SPF, DKIM, DMARC and MX records for setup problems; monitor sending domains and IPs against blacklists. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$44,000about 5 weeks of creation time · start with the MVP from $13,000
Running costs per month
A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $60–$120 | $90–$180 |
| Full productabout 50 customers | $110–$210 | $530–$1,050 | $640–$1,260 |
Run it or resell it
For your own team
Marketing teams and agencies sending recurring email campaigns run it inside the business: sending domains, DNS records, campaign sends and seed-test results in, human-approved fix steps and monitored inbox placement out, reviewed by your people.
As part of your offer
Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.
Your brand, or this one
Run it under your own brand, or start from this concept style.
- primary
#273191 - accent
#bfc954 - surface
#e4e6f1 - ink
#22201e
- Headings
- Playfair Display
- Text
- Source Sans 3
- Voice
- Energetic, specific, results-minded
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test a USD 300-1,500 fixed pilot for one defined domain package. Offer a monthly production allowance after repeat demand. Quote complex multi-domain or agency setups separately. These are test prices, not market benchmarks. Package the initial sale as one bounded human-approved fix steps and monitored inbox placement. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.
Message to test
Reduce spam placement and manual deliverability troubleshooting. Demonstrate a concrete human-approved fix steps and monitored inbox placement using the buyer's approved example and show the baseline, corrections and actual delivery effort.
Where to find buyers
Marketing teams and agencies sending recurring email campaigns professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.
Lead magnet
A reviewed sample human-approved fix steps and monitored inbox placement from a small authorized input set, with a transparent calculation of inbox placement rate and time to resolve authentication issues and no promised savings.
The first 30 days
- Week 1: interview five marketing teams and agencies sending recurring email campaigns and inspect a recent example of messages landing in spam because authentication, blacklist and reputation problems are found late and fixes are unclear.
- Week 2: prepare a consented or synthetic demonstration of the three task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- Week 4: measure inbox placement rate and time to resolve authentication issues, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.
Paid pilot
Agree quality and outcome thresholds before the pilot using this measure: Inbox placement rate and time to resolve authentication issues. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.
Success metrics
Inbox placement rate and time to resolve authentication issues; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.
Retention and expansion
Repeat the workflow when the buyer again needs human-approved fix steps and monitored inbox placement. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.
Why clients would pick it
A reusable library of approved fix patterns, domain configurations and review examples, together with reliable delivery for a narrow marketing niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for marketing teams and agencies sending recurring email campaigns. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
mailX by mailwarm, Hello Inbox, MailAdept by mailwarm, and manual DNS checks. Compare this product with the buyer's present method on inbox placement rate and time to resolve authentication issues. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.
Main delivery costs
Seed-test sends, DNS lookups, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of human-approved fix steps and monitored inbox placement. Track cost per accepted output, including correction work, unsuccessful cases and support.
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.