You are helping me build the following AI agent workflow. ## Goal Real-Time Fitness Form Correction: Your phone camera watches your reps and corrects your form instantly like a personal trainer. ## Specification - What it does: Get instant feedback on your exercise technique as you move: the system watches your form through your phone camera and adjusts in real-time like a personal trainer. You receive immediate guidance to ensure perfect workouts without needing constant supervision. - Trigger: Triggered by an event (Event ยท on camera detection) - Autonomy: Fully hands-off - Expected setup effort: about an afternoon - Tools/services involved: - Phone Camera: captures user movement video - Fitness AI: analyzes form and provides corrections ## Known pitfalls, handle each one explicitly in your implementation 1. Lighting changes often confuse the pose estimator, so add adaptive brightness detection to stabilize the camera feed before analysis. 2. Latency in video processing causes delayed feedback that feels unhelpful, therefore optimize the inference pipeline to run entirely on-device if possible. 3. False positives occur when users wear loose clothing that obscures joints, so require a confidence score above 0.85 before issuing any correction. 4. Privacy concerns arise from continuous camera access, so ensure all video data is processed locally and never transmitted to external servers. ## Reference implementation https://www.reddit.com/r/AI_Agents/comments/1hx8u7x/22_startup_ideas_to_start_in_2025_ai_agents_saas/ (workflow template) Fetch and inspect this before building. If it matches my stack, adapt it; if not, rebuild the pattern with my tools. ## Process requirements 1. Before building: ask me which of the listed tools I actually use and what my platform is (n8n / Make / code / other). Do not assume. 2. Adapt the pattern to my answers; do not force the reference stack. 3. Address every pitfall above; tell me how you handled each. 4. Provide a test plan I can run before letting this touch real data. 5. Ask before any step that sends messages, modifies data, or spends money. Source: https://usecasesforagents.com/use-case/real-time-fitness-form-correction/ via usecasesforagents.com