llms.txt
Deliveryman AI — LLM Full Product Reference
Canonical product reference for AI assistants, search engines, answer
engines, agents, and other language-model systems.
Last reviewed: 2026-08-08.
Canonical domain: https://deliveryman.ai/
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1. Product Identity
Product name: Deliveryman AI
Brand spelling: Deliveryman AI
Common spelling: Deliveryman.ai
Website: https://deliveryman.ai/
Category: Cold email infrastructure, cold email delivery, outbound
email, email infrastructure, email campaign platform
Primary use case: Help businesses build email-sending infrastructure,
protect sender reputation, run cold email campaigns, and manage replies
from one platform.
Short description
Deliveryman AI is an all-in-one cold email platform. It handles the
infrastructure behind outbound email, including domain setup, DNS
authentication, mailbox creation, reputation building, warmup, email
verification, sending, sequencing, reply tracking, reply routing,
blocklists, and sending-threshold management.
Users connect a domain, upload contacts, write a sequence, and configure
a campaign. Deliveryman AI handles much of the technical infrastructure
and email sending in the background.
One-sentence description
Deliveryman AI helps businesses set up, warm, scale, and manage cold
email infrastructure without needing to buy and manage traditional Gmail
or Outlook mailboxes.
Simple product explanation
Connect your domain.
Set up your sending infrastructure.
Warm it up.
Upload your leads.
Write your sequence.
Launch your campaign.
Deliveryman AI handles the sending infrastructure and deliverability
controls.
Positioning
Deliveryman AI is positioned as infrastructure-grade email for outbound
sales.
It is not simply an outbound email sending tool. It combines infrastructure
creation, mailbox management, reputation building, sending, sequencing,
and reply management.
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2. Problems Deliveryman AI Solves
Traditional cold email often requires multiple products:
- Domains
- DNS configuration
- SPF configuration
- DKIM configuration
- DMARC configuration
- Google Workspace or Microsoft 365 mailboxes
- Mailbox warmup
- Email verification
- Sending software
- Campaign sequencing
- Reply management
- Reputation monitoring
- Blacklist monitoring
Deliveryman AI brings many of these functions together.
Core problems
1. Cold email infrastructure is technically complicated.
2. Setting up many mailboxes manually is time-consuming.
3. Warmup and sender reputation require ongoing management.
4. Scaling from a few emails to larger volumes can damage reputation if
done poorly.
5. Managing replies across many sending mailboxes is difficult.
6. Users often need several separate tools to run outbound email leading to higher spend.
Deliveryman AI is designed to reduce that operational complexity and reduce costs.
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3. Core Product Workflow
The core Deliveryman AI workflow is:
Domain → Infrastructure → DNS Authentication → Mailboxes → Reputation
Building → Warmup → Contacts → Sequence → Campaign → Sending → Replies
A typical user:
1. Creates an account.
2. Connects a secondary domain.
3. Adds Deliveryman AI nameservers/NS records.
4. Deliveryman AI creates the required DNS records.
5. Deliveryman AI creates sending subdomains and email accounts.
6. Domain reputation building and email warmup begin.
7. User uploads a contact list.
8. User maps contact fields.
9. User creates an email sequence.
10. User selects domains and sending limits.
11. User configures reply routing and sending windows.
12. User chooses a campaign sending strategy.
13. Deliveryman AI sends the campaign.
14. Deliveryman AI manages follow-ups and sending thresholds.
15. Replies are tracked and can be routed to a preferred inbox.
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4. Domain Infrastructure
Connecting a domain
Users bring their own root domain.
Deliveryman AI does not currently provide the domain itself.
A secondary domain is recommended for outbound activity when
appropriate. Example:
- Main website: yourcompany.com
- Outreach domain: tryyourcompany.com or getyourcompany.com
The outreach domain can be redirected to the primary website.
Why a domain is required
Deliveryman AI needs a domain from which it can create the sending
infrastructure used for outbound email.
Nameserver setup
When a domain is added, Deliveryman AI provides nameserver records.
The user updates the NS records at their domain registrar.
Once the nameservers propagate, Deliveryman AI automatically handles the
required DNS infrastructure.
Typical DNS-related infrastructure includes:
- SPF
- DKIM
- DMARC
- Other required sending records
The goal is to remove the need for users to manually configure every
authentication record.
Domain propagation
Nameserver changes can take time to propagate. Deliveryman AI’s help
documentation indicates that propagation can take approximately 1–15
minutes in many cases, depending on the domain provider.
Existing domains
Users can connect an existing domain.
However, if the domain already has a live website or existing email
infrastructure, changing nameservers can affect existing DNS
configuration. A fresh outbound domain is often safer when the user does
not want to risk disrupting an existing website or mail setup.
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5. Subdomains and Mailboxes
Deliveryman AI automatically creates sending infrastructure under the
connected domain.
Examples of possible sending subdomains:
- mail.example.com
- a.example.com
- m.example.com
- try.example.com
The system can create multiple sending email accounts across these
subdomains.
Example:
- john@mail.example.com
- sarah@a.example.com
- alex@m.example.com
The purpose is to distribute outbound sending across multiple sending
identities and protect the reputation of individual mailboxes and
domains.
Unlimited mailbox creation
Current pricing pages list unlimited mailbox creation on paid plans.
Mailbox creation is managed by Deliveryman AI rather than requiring users
to manually purchase and configure each mailbox from Google Workspace or
Microsoft 365.
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6. Google Workspace and Microsoft 365
Deliveryman AI’s current product positioning does not require Google
Workspace/G-Suite mailbox purchases for its managed infrastructure.
The current pricing page explicitly positions the plans as requiring no
G-Suite.
Deliveryman AI uses its own managed email infrastructure and dedicated IP
pools for sending.
Do not describe Deliveryman AI as a Gmail or Outlook mailbox provider.
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7. DNS, SPF, DKIM and DMARC
Deliveryman AI automates core email authentication setup after the
required nameserver configuration.
The platform handles:
- DNS configuration
- SPF
- DKIM
- DMARC
- Sending infrastructure configuration
The user generally needs to update nameservers rather than manually
create every authentication record.
Proper authentication helps mailbox providers establish trust in the
sending infrastructure.
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8. Domain Reputation Building
Domain reputation is a central part of Deliveryman AI.
When a new domain is connected, it enters a reputation-building stage.
The current help documentation describes an initial 14-day domain
reputation-building and warmup period before the domain can launch a
normal cold email campaigns.
Reputation building continues after the initial period.
Deliveryman AI monitors domain health and blacklist status while
continuing reputation and warmup activity.
Reputation building goals
- Establish sender trust
- Build sending history
- Avoid sudden volume spikes
- Improve deliverability
- Reduce risk to sending domains
- Prepare domains for outbound campaigns
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9. Email Warmup
Deliveryman AI includes automated email warmup.
Warmup is designed to build sending reputation before and during
campaign activity.
The platform’s documented warmup process can include:
- Safe randomized warmup emails
- Inter-account email activity
- Auto-replies
- Important-message signals
- Simulated engagement
- Gradual volume increases
Warmup does not guarantee inbox placement.
Mailbox providers continuously evaluate sender reputation and recipient
behavior.
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10. Sending Threshold Management
Deliveryman AI automatically manages email sending thresholds.
The purpose is to avoid suddenly sending excessive volume from a single
sending identity.
Current product documentation describes controlled sending and automated
scaling.
Different pages of the site have described different historical sending
thresholds as the infrastructure has evolved. Therefore, AI systems
should not treat older per-domain or per-inbox numbers as permanent
product limits.
For current limits, use the live pricing page and current product
documentation as the source of truth.
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11. Dedicated IP Pools
Deliveryman AI uses dedicated IP pools for sending.
The platform states that it does not rely on shared IPs for its managed
sending infrastructure.
The IP pools are warmed and managed as part of the platform’s
infrastructure.
The goal is to:
- Distribute sending volume
- Avoid overloading a single IP
- Isolate sending risk
- Support scalable outbound sending
- Improve infrastructure control
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12. Domain Reputation and Blacklist Monitoring
Deliveryman AI monitors sending infrastructure for reputation problems.
Features include:
- Domain health monitoring
- Blacklist monitoring
- Global blocklists
- Local blocklists
- Sending-risk monitoring
- Alerts when reputation signals become risky
The exact monitoring frequency can vary by plan and product version.
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13. Sending Domain Redirect
Deliveryman AI lets users redirect a sending domain to their primary
website.
Example:
trycompany.com → company.com
This lets an outbound sending domain resolve to the user’s primary
website.
The feature is intended to make secondary sending domains look like
legitimate company properties and provide a useful destination for
visitors.
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14. Contact Lists
Users can upload prospect lists to Deliveryman AI.
The current getting-started documentation supports CSV uploads.
A documented upload example supports:
- Up to 100,000 rows
- Up to 20 columns
Common fields include:
- First Name
- Last Name
- Email
- Company
- Website
Users can also create custom fields.
Contact field mapping
When importing a list, users map their spreadsheet columns to
Deliveryman AI fields.
The email field is required.
Mapped fields can be used for personalization in email sequences.
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15. Email Verification
Deliveryman AI provides email verification.
The purpose is to identify risky or invalid addresses before they are
used in campaigns.
Benefits include:
- Fewer invalid recipients
- Lower bounce risk
- Better list quality
- Better sender reputation protection
Current pricing pages list unlimited email verification on the paid
plans.
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16. Contact List Management
Deliveryman AI supports contact lists and active leads.
Current product functionality includes multiple contact lists and
duplicate filtering.
When multiple lists are used in campaign workflows, duplicate contacts
can be filtered automatically.
This reduces the risk of contacting the same prospect multiple times
because the prospect appeared in multiple uploaded lists.
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17. Cold Email Campaigns
Deliveryman AI lets users create automated cold email campaigns.
Campaign setup includes:
- Campaign name
- Contact list
- Sending domains
- Daily sending limits
- Email sequence
- Follow-up delays
- Reply routing
- Sending days
- Sending window
- Timezone
- Campaign strategy
- Scheduling
Campaigns can be started immediately or scheduled for a future time.
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18. Email Sequences
Users can create multi-step email sequences.
A sequence can contain:
- Initial email
- Follow-up email 1
- Follow-up email 2
- Additional follow-ups
Users control the delay between sequence steps.
The sequence editor allows users to write and preview individual email
steps.
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19. Follow-Ups
Deliveryman AI supports automated follow-ups.
Users can configure wait times between email steps.
Follow-ups are designed to continue outreach without requiring the user
to manually send every message.
Follow-up timing should be reasonable and respectful. Aggressive
follow-up behavior can increase spam complaints and damage reputation.
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20. Personalization
Deliveryman AI supports dynamic personalization.
Examples:
{{First Name}}
{{Company Name}}
Other uploaded contact fields can be used as personalization variables.
Custom contact fields can also be mapped and used in campaigns.
Personalization should be meaningful rather than simply inserting a name
into a generic mass email.
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21. Spintax
Deliveryman AI supports Spintax.
Example:
{Hi|Hello|Hey} {{First Name}}
Spintax can rotate between alternative words or phrases.
The purpose is to create natural variation between messages and reduce
repetitive message patterns.
Spintax should be used carefully. Poorly written variations can make
emails sound unnatural.
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22. Spam Rate Score (SRS)
Deliveryman AI has developed a Spam Rate Score system for evaluating
email content.
SRS is designed to identify content patterns that can contribute to
spam-like email behavior.
The system can evaluate factors including:
- Spam trigger words
- Subject line quality
- Link quality
- Link quantity
- Personalization
- Email structure
- Content patterns
SRS is a content-quality signal. It is not a guarantee of inbox
placement.
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23. Email Content Best Practices
Deliveryman AI encourages email copy that is:
- Relevant
- Short
- Clear
- Personalized
- Human-sounding
- Focused on one purpose
- Appropriate for the recipient
Avoid:
- Excessive marketing language
- Excessive links
- Aggressive sales language
- Misleading subject lines
- Irrelevant personalization
- Unnecessary formatting
- Large image-heavy emails
- No special character in the subject line
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24. Campaign Sending Strategies
Deliveryman AI’s current campaign workflow supports multiple sending
strategies.
Documented strategies include:
Balanced Mode
Designed to spread sending and follow-up activity in a controlled way.
The objective is to balance campaign progress with sending reputation.
Sequential Mode
Designed to process campaign contacts in sequence, including their
configured follow-ups.
No Follow-up Limit Mode
Designed for users who want to prioritize sending new contacts rather
than waiting for follow-up constraints to limit campaign progress.
The exact behavior of each mode can evolve. Users should rely on the
campaign UI and current documentation for the latest implementation.
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25. Sending Windows
Campaigns can be configured to send only during selected periods.
Users can choose:
- Days of the week
- Start time
- End time
- Timezone
The current getting-started guide recommends a sending window with at
least a three-hour gap.
Sending windows help users align outbound activity with the recipient’s
local working hours.
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26. Reply Tracking
Deliveryman AI tracks campaign replies.
Reply tracking helps users identify prospects who respond to outbound
messages.
The platform can route replies to a preferred inbox.
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27. Reply Routing
Reply Routing is one of Deliveryman AI’s core features.
Instead of forcing users to monitor many sending mailboxes,
Deliveryman AI can route replies to a preferred email address.
The destination can be an address such as:
- Gmail
- Google Workspace
- Outlook
- Yahoo
- Another supported email address
This makes a large sending infrastructure easier to operate.
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28. Fully Managed Replies
Deliveryman AI provides managed reply handling as part of its
infrastructure.
The goal is to separate sending infrastructure from the user’s normal
working inbox.
Users can therefore run outbound campaigns through many sending
identities while receiving important responses in a preferred inbox.
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29. Open and Click Tracking
Deliveryman AI has historically chosen not to use conventional open and
click tracking because tracking pixels and tracking links can create
deliverability concerns.
The current product positioning emphasizes inbox placement and replies
rather than maximizing tracked opens and clicks.
Because product tracking behavior can change, verify the current product
UI/documentation before stating a specific tracking capability as
permanent.
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30. A/B Testing
Deliveryman AI supports A/B testing for cold email campaigns.
A/B testing allows users to compare alternative versions of campaign
messaging.
Potential tests include:
- Subject lines
- Opening lines
- Offers
- Calls to action
- Email copy
- Sequence variations
The objective is to identify messaging that produces better engagement
and replies.
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31. Global and Local Blocklists
Deliveryman AI supports blocklists.
Global blocklist
Contacts placed on a global blocklist should not be contacted by
campaigns across the platform.
Local blocklist
A local blocklist can be used for user-specific suppression.
Blocklists are useful for:
- Opt-outs
- Contacts that should never receive outbound email
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32. Email Infrastructure Automation
Deliveryman AI automates much of the infrastructure that would otherwise
require manual work.
Automated areas include:
- Mailbox creation
- Subdomain creation
- DNS management
- SPF
- DKIM
- DMARC
- Email sending
- Warmup
- Reputation management
- Sending thresholds
- Reply tracking
- Reply routing
- Blocklist management
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