iOS
FitFace AI
Personalized face and body analysis, exercise recommendations, progress tools, and privacy-focused scanning features.
View Product ↗Founder-led • Toronto, Canada
AI Automation for Businesses
Add a useful AI feature to a product or reduce repetitive work in your business. Based in Toronto, FitMacro Studio builds AI integrations and automation around a defined task, its inputs, and the result your team needs.
Discuss Your ProjectStart with a workflow you can evaluate
Bring a repetitive task or a product feature you want to improve. We identify the data involved, the systems that need to connect, and where a person should review the output. A focused first version makes it easier to test whether the feature is useful before expanding it.
What the scope can include
- AI assistants and LLM/API integrations
- Image-based analysis features
- Document and receipt data extraction
- Content creation and publishing workflows
- Internal tools connecting existing business systems
Relevant work
Experience behind the service
Relevant work includes AI-assisted content workflows in FitAdEngine, image analysis in FitFace AI, and receipt OCR workflows in GigBalance. The right approach depends on your data and the task.
Web
FitAdEngine
A web platform for creating campaigns, managing media, generating content, scheduling posts, and publishing across social platforms.
View Product ↗iOS + Android
GigBalance
Tracks earnings, mileage, expenses, receipts, tax estimates, and work-performance insights for gig workers.
View Product ↗From first conversation to launch
Tell Me What You Need
Share the problem, idea, or product you want to improve.
Scope the First Version
Define the smallest useful version, required features, timeline, and expected outcome.
Build & Review
Create the product in stages and share progress for feedback.
Launch & Improve
Deploy, test real-world behavior, and improve based on usage.
Before we start
Does every task need AI?
No. A rule-based automation or a direct API integration may be more suitable for a predictable task. The scope starts with the business problem and the required result.
Can AI be added to an existing product?
Yes, subject to reviewing the product’s architecture and available APIs. The first scope can be a single assistant, extraction workflow, or analysis feature.
How do we evaluate the first version?
We agree on representative examples and the expected output before expanding the workflow. Where mistakes matter, the design should include human review and a way to handle failed or uncertain results.
Tell me what you want to build
Share your goal, existing product, and any constraints. We’ll use that to define a practical first scope.