AI Discovery Builder
AI-powered, human-first, risk-aware intelligence system designed to turn complex information into structured, evidence-aware decisions.
Founder & Developer
Most email failures don't begin with catastrophic mistakes. They begin with small technical assumptions that nobody validated. Those assumptions silently accumulate until business growth, operational complexity, and time expose invisible structural weaknesses as expensive business failures. I help businesses improve inbox placement, automate customer journeys, and build reliable email systems by fixing the technical foundations behind successful email marketing.
Preventing those failures is always less expensive than recovering from them. I help e-commerce brands, SaaS platforms, and growing businesses identify the hidden risks in their email infrastructure before they turn into lost revenue and deliverability collapse. To better understand what I am saying you can read my article Who Changed My DNS?
Building intelligent systems across email infrastructure, deliverability, automation, and AI-assisted decision-making.
AI-powered, human-first, risk-aware intelligence system designed to turn complex information into structured, evidence-aware decisions.
Founder & Developer
An intelligent systems approach to email marketing, connecting infrastructure, automation, deliverability, and decision-making rather than treating campaigns as isolated activities.
Creator
Evidence-first, risk-aware engineering across AI discovery, agent-ready knowledge, deterministic workflows, MCP/tool calling, and production validation.
Systems & Intelligence Engineering
Poor authentication, DNS mistakes, automation errors, and hidden configuration issues silently reduce deliverability long before anyone notices.
Often, yes.
Also yes. If email is critical for your business, even a small DNS or authentication mistake can reduce deliverability or interrupt important automations.
DMARC has moved beyond being a DNS record that you publish once and forget. RFC 9989, published by the IETF in 2026, updates the DMARC specification and replaces the earlier RFC 7489 and RFC 9091 documents. At the same time, major mailbox providers continue to enforce email authentication requirements for bulk senders.
A properly configured DMARC record helps receiving systems determine what to do with messages that fail DMARC evaluation and gives domain owners visibility into how their domain is being used. But checking whether a record merely exists is not enough. You also need to understand the published policy, reporting destinations, subdomain policy, SPF and DKIM alignment settings, percentage controls, and whether the record contains configuration issues or outdated elements.
That is why I built the Advanced DMARC Record Analyzer — a live, read-only DNS analysis tool that reads the published DMARC record and turns the raw record into structured findings and DNS evidence instead of simply telling you “DMARC found.”
DMARC behavior and syntax should ultimately be evaluated against the applicable IETF specification rather than simplified third-party summaries. This analyzer is designed to surface the published DNS configuration and deterministic findings; it does not replace the underlying standard or a full email authentication assessment.
Read RFC 9989 at the RFC Editor ↗A domain does not need to send legitimate email to be impersonated. If a domain is not intended to send mail, an appropriate DMARC policy can help receiving systems reject or otherwise handle messages that falsely claim to come from that domain.
This matters because domain impersonation is not theoretical. Security researchers and incident reports continue to document attackers abusing weak or missing email authentication to make fraudulent messages appear to come from trusted organizations.
Example: 2026 spoofing incident involving a law firm's domain ↗Legitimate messages may be quarantined or rejected when authentication or alignment is incomplete.
Third-party senders that were never identified during rollout can suddenly be affected.
Forwarding and other complex mail flows can expose SPF, DKIM, or alignment problems.
Missing aggregate reporting can make it harder to discover unknown or unauthorized senders.
Subdomain policies and other DMARC controls can change effective behavior beyond the root domain alone.
Analyze a live DMARC record and see the observed DNS record, parsed tags, deterministic findings, and DNS evidence.
The same analysis is available through a read-only HTTP API, so you can integrate live DMARC checks into internal tools, monitoring workflows, audits, or automated domain analysis.
curl "https://syedraiyan.uk/api/dmarc/analyze?domain=example.com"
{
"status": "ok",
"service": "ai-discovery-builder",
"tool": "dmarc_analyze",
"analysis": {
"domain": "example.com",
"lookupName": "_dmarc.example.com",
"record": "v=DMARC1; p=reject",
"tags": { "v": "DMARC1", "p": "reject" },
"findings": [{
"code": "DMARC_REJECT",
"severity": "info",
"message": "The DMARC policy is p=reject."
}],
"evidence": {
"source": "cloudflare-dns-json",
"query": "_dmarc.example.com",
"recordFound": true
}
}
}
The analyzer is also exposed through an MCP-compatible JSON-RPC endpoint, allowing compatible AI clients and agent workflows to invoke the same deterministic DMARC analysis programmatically.
POST /mcpImportant: The analyzer reports the DMARC policy published in DNS and applies deterministic checks to the observed record. A DNS record check alone does not prove that every legitimate sending source passes SPF/DKIM authentication or alignment.
Most tools diagnose symptoms. The real failure is usually at a different layer entirely. I trace problems to where they actually originate — then fix there first.
SPF, DKIM, DMARC, domain age, IP reputation, and warmup protocols. If the foundation is wrong, nothing else fixes it. Most senders skip this layer entirely.
Bounce rates, invalid addresses, low-engagement segments, and acquisition method. A dirty list will kill a clean infrastructure. The two problems compound each other.
Image-to-text ratio, HTML quality, rendering across 90+ clients including Outlook, and spam trigger patterns. Clean code matters as much as clean copy.
Volume consistency, send cadence, segmentation by engagement tier, and stagger scheduling for large lists. Irregular volume is one of the most common causes of reputation damage.
What assumptions must already be true? What hidden risks exist? When can a seemingly correct implementation still fail? Which situations require expert judgement instead of automation?
My work focuses on reducing decision risk before implementation. Because the most expensive mistakes usually begin as small, invisible assumptions.
Before email marketing, I spent years managing network and server infrastructure for major ISPs, understanding how receiving infrastructure evaluates inbound mail at the network level. Combined with a Computing & Information Systems degree from London Metropolitan University, I ensure every technical decision is backed by validation.
✓ Business impact
✓ Technical risk
✓ Recovery plan
✓ Rollback strategy
✓ Validation process
❌ Make technical changes without validation.
❌ Recommend solutions without explaining the risks.
❌ Ask you to trust me blindly.
• Evidence before assumptions.
• Validation before implementation.
• Business before technology.
• Long-term stability before short-term fixes.
Mailchimp, Brevo, SendGrid, GoHighLevel — and the infrastructure beneath them. The platform changes. The system design principles don't.
Successful email marketing depends on more than campaigns. It requires reliable infrastructure, healthy data, effective automation, and continuous validation.
A comprehensive diagnosis of your domain's authentication, list risks, and delivery configuration. Identify hidden issues before they impact campaign revenue.
Get Risk Assessment →Emails landing in spam? Low open rates? I identify the real causes behind inbox placement issues and help you improve email deliverability with practical, evidence-based fixes.
Improve Deliverability →Incorrect SPF, DKIM or DMARC records can damage your sender reputation. I configure and validate your authentication properly to protect your domain and improve trust.
Secure My Domain →From welcome sequences to lifecycle journeys, I build reliable automation that saves time, improves customer experience and supports long-term business growth.
Automate My Emails →Hand-coded and tested across 90+ email clients. Outlook-compatible. No drag-and-drop shortcuts — built to a rendering standard, not a visual editor's defaults.
Discuss project →Structured moves between platforms without reputation loss. List integrity maintained throughout. No migration starts without a system review.
Discuss project →Mailchimp, Brevo, GoHighLevel, or SendGrid — advanced setup, segmentation strategy, and system architecture. Pro Partner expertise, not tutorial-level advice.
Mailchimp → Brevo →Why this recommendation? Every recommendation I give is based on: ✓ Industry standards · ✓ Vendor documentation · ✓ Real implementation experience · ✓ Risk assessment · ✓ Validation after implementation.
Real systems, real constraints. These aren't use-case templates — they're actual problems that required building something that didn't exist yet.
The client needed a unique scannable barcode in every single email sent to one million recipients. No native Mailchimp feature supports this. I designed a generation and merge system that produced unique barcodes at scale, embedded correctly in every recipient's email — without breaking deliverability or rendering across clients. Every barcode unique. Zero duplicates. 99%+ delivery.
Large-volume sends without a structured stagger schedule burn sender reputation fast. I built a segmented sending system that distributed volume across time windows based on engagement tiers — protecting IP reputation while maintaining consistent delivery performance across the full 70,000+ contact list. Stable reputation. No blacklisting. System documented and handed over.
Heavy asset campaigns fail in predictable ways: slow load times, image blocking, spam scoring from hosted links. I architected the asset hosting and referencing structure so that 12GB+ of campaign assets loaded correctly, quickly, and without triggering content filters. The infrastructure still runs without ongoing maintenance — documented, stable, and client-managed.
SPF, DKIM, and DMARC failures are invisible until they cost you inbox placement. Query your domain's live DNS records and see exactly what's missing, misconfigured, or passing — no account needed, no data stored.
SPF · DKIM · DMARC · Free
I don't start with templates or campaigns. I start with infrastructure — and work outward from there.
DNS records, authentication, list composition, bounce history, sending patterns. No assumptions. Everything checked against live data before a single recommendation is made.
Most deliverability problems have one root cause. I find it — infrastructure, list, content, or behaviour — before touching anything. Fixing the wrong layer wastes time and creates new problems.
Infrastructure before content. List hygiene before volume changes. The sequence matters. A fix applied in the wrong order is just moving the problem somewhere else.
Litmus for rendering across 90+ clients. Seed testing for inbox placement. Spam scoring before every send. "Looks fine" is not a testing standard.
Every system I build gets documented. You should understand exactly how it works — not depend on me to run it. The goal is a system you can operate independently.
YOU PROBABLY DON'T NEED ONE IF:
YOU PROBABLY SHOULD IF:
Deliverability isn't a one-time configuration; it's a discipline of stability and safety. Clients return because of my operating philosophy:
Every proposal outlines potential business impacts, technical risks, recovery protocols, and validation strategies. No blind implementations.
We verify live DNS states, SPF alignments, and cryptographic keys using advanced query diagnostic steps before signing off.
You receive full system documentation, allowing your team to operate independently without ongoing expert dependency.
I build infrastructures and warmups that survive e-commerce scaling, operational changes, and platform migrations, avoiding lazy shortcuts.
Syed did an OUTSTANDING job with my email marketing project. His professionalism, attention to detail, and ability to exceed expectations truly impressed me. Working with him was a breeze thanks to his proactive communication.
Syed demonstrated exceptional skill, dedication, and problem-solving capabilities in successfully executing a series of highly technical and time-sensitive tasks related to email template migration from Mailchimp to Brevo.
Working with Syed in email marketing was an exceptional experience. His keen attention to detail and professionalism truly set his work apart. Not only did he exhibit great design aesthetics, but his cooperation made the collaboration seamless.
Syed is a great partner. Happy to continue to work with him long term on our corporate email program.
Syed was absolutely brilliant. His professionalism, attention to detail, and proactive communication made the process seamless. He truly went the extra mile with my Mailchimp campaign — I can't wait to work with him again.
Wonderful communication, solved my difficult problems with Mailchimp. Writes creative emails, very polite and well-spoken. Set up my journey and automation perfectly. Will definitely hire again.
If your question isn't here, the first conversation is free.
Why vibe coding and vibe mailing destroys infrastructure at scale. Real engineers with mental models are pulling 6–24 months ahead. Here's what separates them.
Read article →Patterns across 500+ deliverability audits. What separates systems that scale from those that collapse. Data-driven strategy for growing senders.
Read insights →Five critical automation failures in Mailchimp and SendGrid. Real examples of what breaks at scale, and how to prevent reputation damage.
Read article →Your DNS records changed. You didn't do it. Your password wasn't stolen. So who did it - and why are your emails in the spam folder now?
Read article →AI helped take a client's open rate from 6% to 20% and bounce rate to under 1%. It also once hallucinated a DMARC record with a syntax error. Here's the honest breakdown.
Read article →Before you contact me:
You don't need to know any technical terms. Just explain what you're experiencing, and I'll help identify where the actual infrastructure problem may be.
If your campaigns are landing in spam, your bounce rate is climbing, or you're setting up new sending
infrastructure — that's where I start. Not with templates. With diagnosis.
First
conversation is free. No pitch — just an honest look at what's broken.
Or send a quick message below — I reply to every enquiry.
We discuss your symptoms without technical jargon.
I trace configurations to find the hidden failure points.
I explain the exact fixes, risk impact, and backup plan.
Changes are applied safely with production rollbacks.
We verify DNS passing status using live queries.