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🚀 Open to Work
I'm currently available for GoHighLevel (GHL) automation and CRM projects.
I can help with workflows, automations, pipelines, lead nurturing, appointment booking, forms, calendars, and integrations using Make.com, n8n, APIs, and webhooks.
If you need help setting up or improving your GHL system, feel free to reach out. I'd be happy to connect and discuss your project.
#OpenToWork #GoHighLevel #GHL #Automation #CRM
I like how you tie lead nurturing into Make.com flows. It really cuts the back and forth with contacts.
Thanks! Glad you liked the approach. Automation really makes lead management effortless
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Built with Base44, the project brings together a modern user interface and a practical approach to website growth. It focuses on helping businesses recognize potential barriers affecting their visitors' experience and discover opportunities to improve website clarity, usability, and conversion potential.
The platform is designed around a simple idea: businesses should be able to move beyond guessing what is wrong with their websites and focus on identifying meaningful opportunities for improvement.
Through its design and functionality, Signal Growth Lab explores how AI-powered tools and automation can make website optimization more accessible, actionable, and easier to understand.
The goal is to create a useful experience that connects technology, thoughtful design, and business growth in one platform.
Amazing Design
AI Receptionist & Booking Agent for Austin's Sharpest Fades — Austin's #1 rated barbershop.
Built in Lovable to automate bookings and customer service:
Answers FAQs (services, prices, hours, location)
Recommends cuts based on face shape/hair type
Quick-reply flows: "What's the price?", "What cut suits me?", "Book 3pm"
Collects name, phone, date/time & guides to booking + payment
Ready for integrations: Calendar, Stripe Payments, CRM, WhatsApp/SMS
Stack: Lovable, Luna, HTML/CSS/JS, API workflows
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Live demo available.
Nice build Ibrahim. Booking is where most of the real value is for local businesses. I built a voice receptionist for HVAC companies, and the after hours calls turned out to be the biggest win.
AI made the work faster.
But it all still flowed into the same human review queue.
More drafts. More alerts. More recommendations.
Same people deciding what happens next.
The answer isn’t faster review.
𝗜𝘁’𝘀 𝗱𝗲𝗰𝗶𝗱𝗶𝗻𝗴 𝘄𝗵𝗮𝘁 𝗻𝗲𝘃𝗲𝗿 𝗻𝗲𝗲𝗱𝗲𝗱 𝗿𝗲𝘃𝗶𝗲𝘄 𝗶𝗻 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝗽𝗹𝗮𝗰𝗲.
That’s what orchestration is for.
A well-designed system knows what to:
→ 𝗛𝗔𝗡𝗗𝗟𝗘 routine work within clear limits.
→ 𝗩𝗘𝗥𝗜𝗙𝗬 against policy, rules, and expected outcomes.
→ 𝗙𝗜𝗟𝗧𝗘𝗥 duplicates, noise, and low-value signals.
→ 𝗥𝗢𝗨𝗧𝗘 work to the right owner or system.
→ 𝗘𝗦𝗖𝗔𝗟𝗔𝗧𝗘 uncertainty and high-consequence decisions.
Humans handle the judgment calls.
Sampling and audits check what did not escalate.
Those findings improve the rules, not just clear today’s queue.
It is how I run my own agent fleets.
Because if your dashboard counts AI output but ignores the human hours needed to review it, it isn’t measuring productivity.
𝗜𝘁’𝘀 𝗺𝗲𝗮𝘀𝘂𝗿𝗶𝗻𝗴 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻.
The goal isn’t to remove humans.
It’s to stop making human attention the tollbooth every piece of work must pass through.
AI makes output abundant.
𝗛𝘂𝗺𝗮𝗻 𝗷𝘂𝗱𝗴𝗺𝗲𝗻𝘁 𝘀𝘁𝗮𝘆𝘀 𝘀𝗰𝗮𝗿𝗰𝗲.
The winning systems won’t generate the most.
They’ll know 𝘄𝗵𝗮𝘁 𝗻𝗲𝘃𝗲𝗿 𝗻𝗲𝗲𝗱𝗲𝗱 𝘁𝗼 𝗿𝗲𝗮𝗰𝗵 𝗮 𝗵𝘂𝗺𝗮𝗻 𝗶𝗻 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝗽𝗹𝗮𝗰𝗲.
If you’re building this into your workflows
DM me for the escalation scorecard we use:
five metrics, how to measure them, and what we check before expanding autonomy.
From Pilots to Platforms
