Services — DDYLM LLC
01

LinkedIn Profile Optimization

AI-driven profile transformation delivered automatically. Client submits their LinkedIn URL, receives a polished, optimized profile document within hours — no manual work required.

End-to-End Flow
GHL
Client intake + LinkedIn URL
Stripe
Payment processing
Hunter
URL validation + email verify
n8n
Orchestration
Apify
LinkedIn profile scraper
Indeed
Job market scan for target roles
Claude
Multi-pass optimization
Claude
Hallucination check + de-AI pass
Docs
Before/after comparison doc
Gmail
Auto-delivery + follow-up
In plain English: You give us your LinkedIn page link and pay. Our system checks that the link is real, reads your entire profile, looks up what top-paying jobs in your field are actually asking for, then uses AI to rewrite every section to match. A second AI pass catches anything that sounds fake or robotic. You get a polished document showing what changed and why — emailed to you automatically.
GoHighLevel Stripe Hunter.io n8n Apify Indeed / ZipRecruiter Claude API (multi-pass) Google Workspace

Security

Hunter.io validates the LinkedIn URL is a real, active profile before any processing begins. Client email verified to prevent wasted delivery.

Market Intelligence

Job board scraper pulls highest-paying roles in the client's area and industry — so optimized content targets real demand, not generic keywords.

Quality Control

Pass 1: Section-by-section optimization. Pass 2: Hallucination and factual accuracy check. Pass 3: AI-detection removal — strips formulaic phrasing, robotic tone, and flagged vocabulary.

Manual Process
3-4 hrs
per profile, per consultant
Automated
~12 min
end-to-end, zero human time
Time Saved
95%
per delivery
02

Lead Generation & Nurture Sequences

Automated prospect discovery, enrichment, and multi-touch nurture campaigns that move leads from first contact to booked consultation — running 24/7.

End-to-End Flow
Apollo
Prospect discovery + enrichment
Apify
LinkedIn data enrichment
ZeroBounce
Email verification + bounce protection
n8n
Lead scoring + dedup check
GHL
Contact creation + pipeline
Claude
Personalized email generation
n8n
Spam score + compliance check
GHL
Multi-touch sequences
GHL
Booking + reminders
In plain English: We find people who are a good fit to become your clients. The system looks them up, checks that their email address actually works (so you're not yelling into the void), makes sure we haven't already contacted them, then sends a series of friendly, personalized emails. Every email is checked for spam triggers before it goes out. If they're interested, they can book a meeting on your calendar and get automatic reminders.
Apollo.io Apify ZeroBounce n8n GoHighLevel Claude API Google Sheets

Security

ZeroBounce validates every email before send — protecting your domain sender reputation and preventing hard bounces that trigger spam blacklists.

Data Integrity

Deduplication against existing CRM contacts prevents embarrassing double-outreach. Lead scoring filters unqualified prospects before any email is sent.

Compliance

Each generated email is scored for spam triggers and CAN-SPAM compliance. Financial advisor outreach is filtered for SEC/FINRA marketing claim restrictions.

Manual Process
8-10 hrs
per week, per 50 prospects
Automated
~20 min
setup, then runs unattended
Time Saved
96%
per week
03

Brand-Consistent Content Generation

Automated content production calibrated to your exact brand voice. From topic input to published post — with built-in quality gates that catch AI-sounding copy before it ships.

End-to-End Flow
Sheets
Content calendar or manual trigger
JSON
Voice, vocab, pillars, rules
Make
Prompt assembly + API call
Claude
Content generation + JSON output
n8n
Structure, banned words, claims check
Claude
AI-detection removal pass
Compliance
SEC/FINRA compliance filter
Sheets
Content log + approval queue
LinkedIn
LinkedIn, email, newsletter
In plain English: You tell us what topics you want to post about. The system already knows how you talk, what words you like, and what you'd never say. It writes posts that sound like you — not like a robot. Then it runs three checks: Did the post follow the rules? Does it sound like a human wrote it? And for financial advisors — does it accidentally make claims that could get you in regulatory trouble? Only clean content gets queued for publishing.
Make.com Claude API (multi-pass) Google Sheets Brand Template (JSON) AI Detection Filter SEC/FINRA Compliance LinkedIn GoHighLevel

Brand Config

JSON-based brand template defines voice traits, vocabulary rules, banned words, content pillars, and claim policies — loaded per client. Brand voice always overrides default prompts.

AI Detection Removal

Dedicated Claude pass strips formulaic phrasing, robotic sentence structure, overused AI vocabulary ("delve," "landscape," "leverage"), and uniform paragraph patterns that flag AI detectors.

Compliance

Financial advisor content filtered for SEC/FINRA violations: no performance guarantees, no fabricated testimonials, no specific return claims, no misleading credentials. Flagged content held for manual review.

Manual Process
5-6 hrs
per week for 3-4 posts
Automated
~8 min
per post, batch-scheduled
Time Saved
90%
per week
04

LinkedIn Inbound Response Automation

When a prospect messages you on LinkedIn, the system detects it within minutes, enriches their profile, and generates a context-aware personalized reply addressing their actual question.

End-to-End Flow
Gmail
LinkedIn notification trigger
n8n
Extract sender + parse email
Filter
Spam / bot detection filter
PhantomBuster
Fetch actual message content
Apify
Profile scrape
Apollo
Company enrichment
Claude
Intent classification + contextual response
Claude
Tone + accuracy validation
PB Send
LinkedIn reply
Slack
Log + Slack notify
In plain English: When someone sends you a LinkedIn message, the system notices within a minute. First it checks if the sender is a real person (not a spam bot). Then it reads what they actually wrote, looks up who they are and where they work, figures out what they're asking for, writes a smart reply, double-checks the tone isn't weird, and sends it back. You get a Slack notification so you know what happened. Total time: about 3-6 minutes — feels instant to them.
Gmail n8n Spam/Bot Filter PhantomBuster Apify Apollo.io Claude API (multi-pass) Slack

Security

Spam/bot filter checks sender profile age, connection count, and message patterns against known bot signatures. Junk messages are dropped before any enrichment spend occurs.

Intent Classification

Claude categorizes the message (service inquiry, partnership request, recruiting, spam) and routes to the appropriate response template — preventing irrelevant replies.

Quality Control

Second Claude pass validates tone matches your brand, confirms no hallucinated claims about your services, and ensures the response addresses the sender's actual question.

Manual Process
15-20 min
per message (research + write)
Automated
~4 min
end-to-end, zero human time
Time Saved
100%
of your time per message
05

Cross-Platform Workflow Monitoring

Centralized error detection across every automation platform. When something breaks at 2am, you get an SMS and email before your clients notice anything.

End-to-End Flow
n8n
n8n error trigger
Make
Make error handler
GHL
GHL workflow fallback
n8n
Central webhook + normalize
Triage
Severity triage + false-positive filter
Dedup
Dedup + 15-min throttle
Gmail
Email alert
Twilio
SMS alert
UptimeRobot
External heartbeat monitor
In plain English: Think of this as a smoke detector for your automations. If any of your systems break — even at 2 in the morning — this sends you a text and email right away telling you what went wrong. It's smart enough to tell the difference between a real problem and a false alarm. It won't spam you if the same thing breaks over and over. And there's an independent backup watchdog making sure the smoke detector itself is still working.
n8n Make.com GoHighLevel Zapier Twilio Gmail UptimeRobot Severity Triage False-Positive Filter

False-Positive Filtering

Known transient errors (API rate limits, temporary timeouts) are classified and suppressed. Only genuine failures trigger alerts — reducing noise by ~60%.

Severity Triage

Critical failures (payment processing, client delivery) get SMS immediately. Warnings (retry-able errors, non-blocking issues) route to email-only with digest batching.

Redundancy

UptimeRobot pings the n8n alert router every 5 minutes from an independent server. If the monitoring system itself goes down, you still get notified — via a completely separate channel.

Manual Process
2-3 hrs
per day checking dashboards
Automated
0 min
alerts come to you
Time Saved
100%
of monitoring time
06

Automated Client Onboarding

From payment to first session — a polished onboarding experience that runs without manual intervention. Intake, welcome sequences, scheduling, and session prep all handled automatically.

End-to-End Flow
Stripe
Payment webhook
Stripe
Stripe Radar fraud check
GHL
Contact created + tagged
Gmail
Welcome sequence
GHL
Intake questionnaire
Validate
Input validation + PII handling
GHL
Session booking + reminders
Claude
AI session prep brief
Claude
Hallucination + accuracy check
Gmail
Prep doc to advisor
In plain English: The moment a new client pays, everything kicks off automatically. Stripe checks the payment isn't fraudulent. The client gets a welcome email, a questionnaire, and a link to book their first meeting. Their answers are validated and personal data is handled securely. Before that first call, the AI reads their responses and writes a cheat sheet for the advisor — then a second AI pass makes sure nothing was made up. The advisor walks into the call already prepared. Nobody lifted a finger.
Stripe + Radar GoHighLevel Claude API (multi-pass) Google Workspace n8n PII Handling Input Validation

Fraud Prevention

Stripe Radar evaluates every payment for fraud signals before onboarding begins. Flagged transactions are held for manual review — preventing chargebacks and wasted workflow runs.

Data Security

Intake form responses are validated for completeness and format. Personally identifiable information (SSN, financial data for advisors) is flagged and routed to encrypted storage — never exposed in plain-text logs.

Accuracy Check

Session prep briefs pass through a second Claude review that cross-references claims against the original intake data. Any AI-generated inference not supported by actual client input is flagged or removed.

Manual Process
45-60 min
per new client onboarded
Automated
~3 min
end-to-end, zero human time
Time Saved
95%
per client onboarded

See How It Applies to You

Book a free discovery call. We'll map your current workflows, identify automation opportunities, and show you exactly which systems we'd build.

Schedule a Discovery Call