---
type: source
title: "Introducing Trainer's Ally - Nvidia AI Agents Competition Submission"
description: "Trainer's Ally is an AI agent app (built on Nvidia + LangChain) that lets personal trainers co-create fully customized multi-day client workouts in minutes through an iterative human-in-the-loop generate-revise-continue flow."
youtube_id: 9JFK3xVrDCA
url: https://www.youtube.com/watch?v=9JFK3xVrDCA
slug: introducing-trainers-ally-nvidia-ai-agents-competition-submission
published: 2024-06-17
duration: "0:01:31"
recency_rank: 190
raw: "../raw/introducing-trainers-ally-nvidia-ai-agents-competition-submission.md"
tags: [human-in-the-loop, agent-loop]
created: 2026-07-21
updated: 2026-07-21
---

# Introducing Trainer's Ally - Nvidia AI Agents Competition Submission

This short demo introduces Trainer's Ally, an AI agents application submitted to the Nvidia AI Agents competition and powered by Nvidia and LangChain technologies. Its premise is that personal trainers can work alongside AI to produce highly customized client workouts in minutes rather than by hand. The user first supplies criteria such as the client's available gym equipment and their fitness goals, then clicks "generate workouts" to produce the plan day by day.

The core of the experience is an iterative human-in-the-loop loop. For each generated day the trainer can accept it as-is, swap in AI-provided alternatives, or type free-form natural-language feedback (for example, adjustments) that the agent uses to revise that day's workout before moving on. The trainer repeats this across the week, choosing at each step how much to intervene, until the final multi-day program is complete.

The workflow ends with the finished week of workouts, which the trainer can export into an existing personal-training app (Everfit is mentioned). The video is a product walkthrough rather than a technical teardown, so it demonstrates the application pattern of a domain-specific AI agent with a lightweight review/revision UI more than any underlying architecture.

## Concepts covered

- [Human in the Loop](../concepts/human-in-the-loop.md)
- [The Agent Loop (Reason-Act-Observe)](../concepts/agent-loop.md)

## Entities

- [Nvidia](../entities/organizations/nvidia.md)
- [LangChain](../entities/tools/langchain.md)
- [Cole Medin](../entities/people/cole-medin.md)

## Key moments

- **[0:00:01]** Intro: Trainer's Ally, an AI agents app powered by Nvidia and LangChain for personal trainers
- **[0:00:14]** Supply workout criteria: client's gym equipment access and fitness goals
- **[0:00:25]** Click "generate workouts"; first day generated with option to pick alternatives or continue
- **[0:00:41]** Free-form text feedback revises the workout for the next day
- **[0:01:06]** Continue without revising, or just swap AI-provided alternatives per day
- **[0:01:18]** Final week of workouts produced; export into a training app like Everfit

## Transcript

[Raw transcript](../raw/introducing-trainers-ally-nvidia-ai-agents-competition-submission.md)
