AI is changing everything — but can it actually improve your golf game? I tested that idea by feeding my launch monitor data into ChatGPT and asking it to create a smarter, data-driven golf practice plan. The results were impressive and showed that artificial intelligence has a real future in player development and performance analysis.

Why Use AI for Golf Training?

Large Language Models like ChatGPT have been trained on billions of words — including instructional content, golf blogs, biomechanics textbooks, and training regimens. That means they can do more than just provide answers. ChatGPT can analyze your input data, organize it by patterns, and offer structured guidance. When paired with accurate data from a launch monitor like the Foresight Falcon, you essentially have a virtual swing coach in your pocket.

This is especially useful for competitive or single-digit handicap players looking to improve in measurable ways. Instead of guessing what’s wrong with your swing or searching YouTube for drills that may or may not apply to your swing flaws, AI can provide a custom plan built from your actual numbers.

The Prompt I Used

I wanted ChatGPT to act like a coach, so I gave it specific instructions based on my goals:

• Analyze my strengths and weaknesses
• Recommend specific drills and adjustments by club
• Create a 90-day practice plan including launch monitor sessions, short game, and course play
• Set performance benchmarks I should aim for in distance, spin, dispersion, and scoring

Here’s the full prompt I used:

I am a single-digit handicap golfer training to improve my game over the next 90 days. Here is my shot-by-shot launch monitor data (include ball speed, spin, carry, height, and distance to pin for each club). I want you to:

1. Analyze my strengths and weaknesses
2. Recommend specific drills and adjustments by club
3. Create a 90-day practice plan including launch monitor sessions, short game, and course play
4. Set performance benchmarks I should aim for in distance, spin, dispersion, and scoring

What ChatGPT Delivered

In seconds, ChatGPT gave me a customized practice plan that mirrored the kind of detailed coaching session you’d get from a high-level instructor. The output included:

• Club-by-club performance breakdown based on my launch data
• Drills to fix inconsistencies (like face contact or launch angle)
• Weekly practice structure (launch monitor, short game, course) with progress tracking
• Monthly focus blocks (Weeks 1–4: strike quality, Weeks 5–8: distance control, Weeks 9–12: scoring under pressure)
• Benchmarks like:
  • Driver: 270+ yards carry, spin between 1900–2400 rpm
  • 7-Iron: Proximity within 25 ft, 5500–6000 rpm spin
  • Pitching Wedge: Less than 5 yards carry variation

My Launch Monitor Snapshot

Using the Foresight Falcon, I hit five shots each with my Pitching Wedge, 7-Iron, 4-Hybrid, and Driver. Here's a simplified version of the averages:

• Pitching Wedge: ~99.3 mph ball speed, ~131 yards carry, ~8700 rpm backspin, ~94 ft peak height. Good spin but inconsistent distance control.
• 7-Iron: ~113.6 mph ball speed, ~164 yards carry, ~5300 rpm backspin, ~98 ft peak height. Solid strike when centered, but some variability in contact.
• 4-Hybrid: ~137.7 mph ball speed, ~215 yards carry, ~4000 rpm backspin, ~105 ft peak height. Extremely consistent performance with minor curvature issues.
• Driver: ~156.4 mph ball speed, ~263 yards carry, ~2100 rpm backspin, ~83 ft peak height. Ball speed is excellent, but spin rate was inconsistent, leading to occasional off-line results.