Question 1

What cities and regions in Ontario do you serve?

Accepted Answer

Marc Leepack serves clients across Ontario and the Greater Toronto Area, including Toronto, Markham, Richmond Hill, Thornhill, Vaughan, Woodbridge, North York, Scarborough, Mississauga, Brampton, Oakville, Burlington, Hamilton, Kitchener, Waterloo, London, Ottawa, Barrie, Pickering, Ajax, Whitby, and Oshawa.

Question 2

Do you work with businesses in the United States?

Accepted Answer

Yes. Marc works remotely with businesses across the United States, including clients in California, New York, Texas, Florida, Washington, Massachusetts, Illinois, Colorado, Georgia, Arizona, Nevada, Oregon, Virginia, North Carolina, and Pennsylvania.

Question 3

What is agentic AI development?

Accepted Answer

Agentic AI development is the practice of building AI systems that can autonomously plan, reason, and take actions to complete multi-step tasks — going beyond simple question-and-answer to systems that use tools, browse the web, write and execute code, manage files, and coordinate between multiple AI models. Examples include AI agents that automate business workflows, research pipelines, customer-facing assistants with real tool access, and autonomous coding or data-processing systems.

Question 4

What does an AI consultant do?

Accepted Answer

An AI consultant helps businesses identify where AI can create real value, selects the right tools and models for the job, and implements production-ready AI features — including LLM integrations, agentic workflows, AI-powered automations, and custom AI applications. Marc's approach focuses on practical outcomes: shipping AI that works in production and delivers measurable business value, not AI for its own sake.

Question 5

Can you build a custom AI agent for my business?

Accepted Answer

Yes. Marc builds custom AI agents tailored to specific business workflows — including customer support agents, internal knowledge assistants, document processing pipelines, research and data extraction agents, and multi-step automation systems. Agents are built using production-grade tooling including OpenAI, Anthropic, LangChain, and vector databases.

Question 6

How do I get started implementing AI in my business?

Accepted Answer

The best starting point is identifying a specific, repetitive task or bottleneck in your business that currently requires human attention. From there, Marc conducts a scoping session to evaluate feasibility, suggest the right approach (simple automation vs. full agentic system), and map out a timeline and cost. Use the contact form at codewrangler.dev to start the conversation.

Question 7

What is the difference between AI integration and agentic development?

Accepted Answer

AI integration typically means adding an AI feature to an existing product — such as a summarization button, a chatbot, or an AI-generated response. Agentic development goes further: it builds systems that can autonomously execute sequences of actions, make decisions, use external tools, and complete complex tasks without step-by-step human direction. Both are valid depending on your goals.

Question 8

Do you work with non-technical founders?

Accepted Answer

Yes. Marc regularly works with founders who have strong domain expertise but limited technical backgrounds. He handles the full technical scope — architecture, implementation, and deployment — while keeping founders informed in plain language at every stage. The goal is to ship a product you understand and can grow, not one that requires Marc to maintain it forever.

Question 9

Can you migrate my Bubble.io app to a real codebase?

Accepted Answer

Yes. Marc specializes in moving heavily-invested Bubble.io apps to a modern, owned codebase — preserving data, workflows, and users while unlocking ownership, scalability, and AI-powered development. The Bubble app stays live throughout the migration. Full process details at codewrangler.dev/bubble-migration.

Question 10

Why migrate off Bubble.io?

Accepted Answer

Bubble.io is great for getting to a first version, but as products grow they hit ceilings: per-Workload-Unit pricing that compounds with usage, plugins that can be abandoned, and an editor that AI coding tools cannot read or modify. Migrating to a real codebase removes those ceilings and lets AI coding agents like Cursor and Claude Code build alongside you, dramatically accelerating development.

TechStax

Overview

The Challenge

The Approach

The Outcome