Experiments
Building in public.
Live experiments, systems under construction, and frameworks being tested. The lab is always open.
AI-Assisted Growth Workflows
Exploring how AI can assist research, prospecting, and marketing workflows without removing the human layer.
Currently experimenting with different workflow architectures and data pipelines. The goal is to understand where AI actually improves signal instead of just adding noise.
CRM Intelligence Layer
Exploring how CRM systems can move beyond simple data storage and become active intelligence layers for marketing and sales.
Experimenting with ways CRM data can trigger segmentation, campaign orchestration, and feedback loops between marketing and sales. The focus is on turning raw CRM data into actionable signals instead of static records.
Lead Finder Engine
Building an automated lead discovery engine that continuously finds, enriches, and qualifies potential clients from multiple online sources.
Developing a system that collects company and job data from various sources, enriches it with company info and contacts, and turns raw leads into structured opportunities. The goal is to create a continuous lead generation pipeline instead of manual prospecting.
Outreach AI Assistant
Designing an AI assistant that generates personalized outreach messages based on lead data, company context, and intent signals.
The system analyzes company websites, job posts, and LinkedIn data to generate personalized cold emails and outreach sequences. The goal is to move from generic templates to context-aware outreach at scale.
Content Idea Generator
Building an AI system that generates content ideas based on industry trends, SEO data, and audience pain points.
The goal is to create a system that continuously suggests blog topics, LinkedIn posts, and video ideas based on keyword data, trends, and market positioning instead of brainstorming manually.
SEO Intelligence Bot
Developing a bot that analyzes keywords, competitors, and content gaps to generate SEO opportunities automatically.
The system collects keyword data, analyzes competitor content, and identifies content gaps and ranking opportunities. The goal is to automate SEO research and opportunity discovery.
Marketing Automation Brain
Exploring how AI can orchestrate marketing workflows, triggers, and campaigns across multiple channels.
The idea is to create a central logic layer that decides when to send emails, launch campaigns, retarget users, or notify sales based on behavior, CRM data, and engagement signals.
Offer Generator AI
Building an AI tool that helps generate service offers, packages, and pricing structures based on target market and positioning.
The system helps create service packages, pricing models, and positioning angles based on industry, target clients, and business goals.
Reporting & Insights Engine
Creating an AI-powered reporting layer that turns marketing and sales data into insights instead of just dashboards.
Instead of static dashboards, the system generates weekly insights, performance summaries, and recommendations based on campaign and CRM data.
Personal Knowledge AI
Building a personal AI knowledge base that stores ideas, strategies, notes, and projects and makes them searchable and usable.
The goal is to create a personal system where all ideas, marketing frameworks, prompts, and notes are stored and can be queried and reused through AI.
Growth Strategy Simulator
Exploring how AI can simulate marketing strategies, funnels, and growth scenarios before execution.
The idea is to model different growth strategies, funnels, and channel mixes and evaluate potential outcomes before actually launching campaigns.