Copy Your F1 Data into AI Chatbots
AI chatbots like ChatGPT, Claude, and Gemini are surprisingly good at analyzing racing data, if you can get the data to them in a format they understand. Raw screenshots or typing out numbers manually doesn't really work. What works is structured data, and that's exactly what F1Laps now gives you.
You can copy your lap, session, or season data as clean markdown directly from F1Laps and paste it into any chatbot. Ask it why you're slow in sector 2 at Silverstone, whether your tyre strategy cost you positions, or what setup changes might help in the rain. It'll answer based on your actual telemetry, not generic advice.
This was one of the most requested features from the community, and one user put it perfectly:
"Connecting with ChatGPT would be really great. You could ask stuff like: how could I improve my lap time at Silverstone? What setup changes would help me in the rain? Why am I slower in sector 2 than the average?"
How It Works
On any lap, session, or season page, open the Options dropdown and click Copy Markdown. Your telemetry data lands on your clipboard as formatted markdown that chatbots can actually parse and reason about, not just a wall of numbers.
From there, paste it into whichever chatbot you use, add your question, and you'll get analysis based on your real driving data. No API keys, no setup, nothing to configure.
What Gets Copied
The markdown output changes depending on what page you're on. Below are examples of each.
Lap Markdown
A lap page gives you everything about that specific lap: sector times, a delta comparison against your personal best, tyre wear per corner, fuel and ERS usage, car damage, weather conditions, and your full car setup.
```markdown
Silverstone — 1:27.834
Game: F1 25 | Team: McLaren | Lap: 14 | Position: P3 | Tyre: Soft
Lap Time
| Total | S1 | S2 | S3 |
|---|---|---|---|
| 1:27.834 | 0:28.123 | 0:33.456 | 0:26.255 |
Comparison vs Personal Best
| Total | S1 | S2 | S3 | |
|---|---|---|---|---|
| This Lap | 1:27.834 | 0:28.123 | 0:33.456 | 0:26.255 |
| Best | 1:27.102 | 0:27.891 | 0:33.102 | 0:26.109 |
| Delta | +0.732 | +0.232 | +0.354 | +0.146 |
Tyre Wear
| Tyre | Start | End | Wear This Lap |
|---|---|---|---|
| Front Left | 18.2% | 21.4% | 3.2% |
| Front Right | 19.1% | 22.8% | 3.7% |
| Rear Left | 15.6% | 18.1% | 2.5% |
| Rear Right | 16.3% | 19.0% | 2.7% |
Setup
| Setting | Value |
|---|---|
| Front Wing | 8 |
| Rear Wing | 6 |
| ... | ... |
| ``` |
With this data in front of it, a chatbot can tell you exactly where you're losing time relative to your best, whether your tyre wear is uneven enough to suggest a setup change, or if your fuel usage is on target for the remaining stint.
Session Markdown
A session page covers an entire race or qualifying: every lap time with tyre compounds and pit stops, the full classification with gaps, any penalties, your tyre strategy, and your car setup.
```markdown
Silverstone Race
Game: F1 25 | Session: Race | Team: McLaren | Conditions: Dry | Difficulty: 95 | Finish Position: P3 | Points: 15 | Total Laps: 25
Lap Times
| Lap | Pos | Tyre | Pit | Time | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|
| 1 | 5 | Soft | 1:29.441 | 0:29.012 | 0:34.221 | 0:26.208 | |
| 2 | 4 | Soft | 1:28.115 | 0:28.334 | 0:33.612 | 0:26.169 | |
| ... | |||||||
| 12 | 3 | Soft | Yes | 1:32.887 | 0:28.201 | 0:33.445 | 0:31.241 |
| 13 | 6 | Hard | 1:28.934 | 0:28.556 | 0:34.012 | 0:26.366 | |
| ... |
Tyre Strategy
- Soft
- Hard
Classification
| Pos | Driver | Team | Best Lap | Gap | Points |
|---|---|---|---|---|---|
| 1 | Verstappen | Red Bull | 1:27.102 | - | 25 |
| 2 | Norris | McLaren | 1:27.334 | +0.232 | 18 |
| 3 | Player | McLaren | 1:27.834 | +0.732 | 15 |
| ``` |
This is where strategy questions get interesting. You can ask a chatbot to analyze your pace degradation across tyre compounds, figure out if an earlier pit stop would've gained you positions, or compare your sector consistency across the full race distance.
Season Markdown
A season page captures your full campaign: qualifying and race results at every track, points scored, best laps, weather conditions, AI difficulty levels, and the complete driver and constructor standings.
```markdown
Season: Career Mode
Game: F1 25 | Team: McLaren | Mode: Career Mode
Grand Prix Results
| # | Track | Quali | Race | Points | Best Lap | Conditions | Race Diff | Quali Diff |
|---|---|---|---|---|---|---|---|---|
| 1 | Bahrain | 4 | 3 | 15 | 1:30.221 | Dry | 95 | 95 |
| 2 | Saudi Arabia | 2 | 5 | 10 | 1:28.445 | Dry | 95 | 95 |
| 3 | Australia | 1 | 1 | 26 | 1:18.334 | Wet | 93 | 93 |
| ... |
Driver Standings
| Pos | Driver | Points |
|---|---|---|
| 1 | Verstappen | 51 |
| 2 | Player | 51 |
| 3 | Norris | 38 |
| ``` |
Season data is great for spotting patterns you wouldn't catch race by race. A chatbot can identify which track types you struggle at, whether your wet weather performance is dragging down your championship, or if your AI difficulty needs adjusting based on your finishing trends.
Ideas for What to Ask
You can ask whatever you want, obviously, but here are some prompts that work well with the data F1Laps provides:
- "Where am I losing the most time compared to my personal best, and what might cause it?"
- "Looking at my tyre wear across all four corners, do I need a setup change?"
- "I did a one-stop on softs and hards. Based on my lap time drop-off, would a two-stop have been faster?"
- "Which tracks in my season am I consistently qualifying better than I race? What could explain that?"
- "My AI difficulty is 95 and I'm finishing P2-P4 most races. Should I bump it up?"
A full season gives the chatbot enough data to find real patterns. Even a single lap gives it sector splits, tyre data, and your setup to work with.
How to Get Started
Open any lap, session, or season page on F1Laps, click Options, and select Copy Markdown. The feature is available to all Premium and Champion subscribers.
If you haven't tried it yet, start with a race you know didn't go well. Copy the session markdown, paste it into your chatbot of choice, and ask what went wrong. The answers might point you toward something you hadn't considered.