Intelligent systems we've engineered

The Challenge

A high-volume real estate team was losing 40% of leads due to slow response times (the "speed to lead" problem) and manual entry into their CRM.

The Technical Solution

• •Architecture: Built a custom Node.js middleware connecting their website to an LLM-driven agent.
• •Automation: Integrated Vapi (Voice AI) and OpenAI API to handle inbound calls and texts.
• •Intelligence: Programmed the agent with "System Instructions" based on CA Broker compliance, allowing it to qualify leads based on budget, timeline, and location without human intervention.

The Outcome

95% instant response rate. The AI now handles the first 3 touches of every lead, automatically updating the CRM via Webhooks, saving the team 20+ hours of manual follow-up per week.

The Challenge

A client had a massive internal knowledge base (100+ PDFs and manuals) that employees found impossible to search, leading to constant Slack interruptions.

The Technical Solution

• •Full-Stack Bridge: Leveraged a React/TypeScript frontend to build a custom "Company Brain" portal.
• •AI Implementation: Implemented a RAG (Retrieval-Augmented Generation) pipeline using Pinecone (Vector DB) and LangChain.
• •The "Pro" Touch: Instead of just a chatbot, built an "Action Agent" that can trigger internal company workflows (e.g. filing a ticket or booking a meeting) based on chat context.

The Outcome

Reduced internal "search-related" Slack pings by 65%. Transformed a static documentation site into an active employee assistant.

The Challenge

An entrepreneur was spending 15 hours a week manually repurposing content for LinkedIn, Shopify, and Email marketing.

The Technical Solution

• •The Stack: Built an autonomous content pipeline using n8n and Node.js.
• •Agentic Workflow: Created a multi-agent system where Agent A "extracts" key insights from a YouTube video, Agent B "rewrites" them for LinkedIn, and Agent C "generates" SEO-optimized Shopify product descriptions.
• •Human-in-the-loop: Built a simple React dashboard for the founder to "Approve" or "Edit" before the AI automatically posts via API.

The Outcome

90% reduction in content creation time. The founder now spends 15 minutes a week "conducting" the AI rather than writing from scratch.

The Challenge

A dev team of 10 was using ChatGPT "wildly," pasting sensitive code and getting hallucinated answers, leading to buggy PRs and security concerns.

The Technical Solution

• •Consulting: Conducted a 4-week "Applied AI" workshop series for engineering and marketing.
• •Implementation: Developed a company-wide AI Policy and Custom GPT Library for standardized code reviews and marketing copy.
• •Mentorship: Taught the dev team how to use GitHub Copilot properly (for scaffolding and tests) vs. where to avoid it (security-critical logic).

The Outcome

30% increase in sprint velocity and 100% reduction in "unsafe" AI usage. Moved the company from "fearing AI" to "building with it" safely.