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I designed and built CloseFlow, a complete Notion CRM and business operating system for real estate agents.
The workspace brings the entire client workflow into one organized system — from new leads to closed deals.
It includes lead and contact management, deal pipelines, follow-up tracking, task management, smart dashboards, connected databases, custom views, and reusable templates.
Workflow: Lead → Contact → Deal → Follow-Up → Task → Closed
The goal was to create a simple, practical alternative to complex CRMs while making sure agents can quickly see their hot leads, active deals, overdue follow-ups, upcoming closings, and daily tasks.
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24-Hour AI Workflow Blueprint — From Business Problem to Practical AI Plan
I developed a practical workflow-review system designed to help small businesses identify where AI can genuinely save time — and, just as importantly, where human judgement should remain in control.
The process starts with a structured business questionnaire covering repetitive tasks, existing software, time-consuming processes, desired improvements and areas that should not be automated.
That information is then analysed to identify bottlenecks, quick wins and realistic opportunities for AI assistance. The resulting Blueprint provides prioritised recommendations, practical workflows, suggested tools and prompts, implementation steps, and clear human/AI boundaries.
I also built and tested the supporting intake and delivery workflow so the complete review can be produced within 24 hours of receiving the required information.
The objective isn't “AI everywhere”. It's less repetitive work, clearer processes and practical improvements that a business can actually use.
This workflow was developed and internally tested as part of a live 30-day commercial AI experiment. No invented client results or hypothetical savings are presented here.
Project Title: ASAPP CRM — AI-Powered Real Estate Lead Management
Short Description:
A role-based real estate CRM that centralizes lead capture, assignment, follow-ups, communication, reporting, and AI-powered sales workflows.
Project Description:
I led the full-stack development of ASAPP CRM, a real estate sales platform designed to help teams manage leads, communication, follow-ups, and daily operations from one centralized system.
The Challenge
Real estate teams were receiving leads from multiple channels and relying on disconnected tools for assignment, communication, and follow-ups. This made it difficult to track lead activity, maintain accountability, and respond to opportunities on time.
The Solution
I helped create a scalable CRM platform featuring:
• Role-based dashboards for administrators, managers, and agents
• Automatic lead capture from social channels
• Round-robin and manual lead assignment
• Complete activity history when leads are transferred
• SMS, WhatsApp, and email communication from the lead profile
• Follow-up calendar for overdue, upcoming, and completed activities
• Real-time lead pipeline and conversion monitoring
• AI-powered lead scoring and sales forecasting
• Next-best-action recommendations
• AI chatbot for lead qualification
• Context-aware email and SMS drafting
• Mobile access and live lead-count widgets
The Result
ASAPP CRM gave sales teams a clearer view of their pipeline, improved lead ownership, and made follow-ups easier to manage. Its automated follow-up workflow also helped reduce the missed-meeting ratio by 2%.
My Role:
Lead Full-Stack Developer
Skills:
CRM Development, TypeScript, Node.js, Express.js, MongoDB, REST APIs, RBAC, AI Integration, Workflow Automation
AI Agent Developer work is most useful when context survives the handoff. On Tenderseal, I structured the flow around reading source material, asking focused questions, and drafting from that context. The product has supported 15+ European companies, while the workflow stays traceable back to the material. I build real integrations with approval points and read-back rather than hiding the hard step behind a chat box. Message me if a document workflow is losing context between people and systems.
