Coaching grounded in telemetry
The AI feedback is based on measurable inputs such as brake pressure, throttle position, speed, steering, gear, and delta. That keeps the coaching tied to the lap instead of giving generic driving advice.
AI racing coach
An AI racing coach that reads your telemetry
Hotlap.ai uses telemetry data to explain what happened during a lap. It helps drivers understand the practical difference between two laps, then turns those differences into coaching feedback that can be tested in the next practice run.
Free to startDesktop and web workflows
Built for iRacingNative .ibt telemetry context
Driver-firstReview what changes the lap
Corner-level feedback
Hotlap.ai groups findings by section so drivers can focus on the parts of the lap where the largest improvements are available. Findings can point to brake points, peak brake pressure, trail braking, throttle timing, steering overlap, understeer, oversteer, gear at apex, upshift timing, or riding the brake or throttle.
Useful for self-coaching and teams
Drivers can use Hotlap.ai alone after a session or with teammates to compare laps. Shared reference data makes it easier to identify repeatable habits instead of judging pace from lap time alone.
How AI coaching turns data into priorities
A focused path from session data to the next change you can test on track.
- Step 1
Run the analysis
Select the lap and reference context, then let Hotlap.ai generate graded findings from the telemetry instead of manually hunting through every channel first.
- Step 2
Read priority before detail
The AI panel groups findings by section, grade, issue count, strengths, and priority so the first review starts with the highest-value corner.
- Step 3
Jump back to the data
Each finding is useful only if it can be checked. Use chart markers and jump-to-distance actions to inspect the exact brake, throttle, steering, speed, or gear trace behind the suggestion.
- Step 4
Practice one behavior
Convert the AI finding into a single driving behavior to test, such as releasing brake earlier, delaying throttle less, or carrying more minimum speed.
Best used when the graphs are too much
This page should feel different from the telemetry-analysis page: it is about prioritization and explanation. The AI coach is there to decide what deserves attention first, not to hide the data.
The strongest use case is after a session when the driver knows the lap was slow but does not know whether the cause was braking, throttle, steering, line, gear, or corner speed.
Questions drivers ask
What does the AI racing coach look for?
Hotlap.ai evaluates driver-input patterns such as brake application, brake points, peak brake pressure, trail braking shape, throttle timing, throttle release, steering overlap, turn-in, understeer, oversteer, gear at apex, upshift timing, and riding brake or throttle.
Is the coaching based on real telemetry?
Yes. The AI findings are tied to lap telemetry and reference comparisons. Drivers can jump back to the relevant distance on the lap and inspect the charts that support the finding.
Find your perfect lap.
Use Hotlap.ai to compare the lap, understand the inputs, and leave review with one clear thing to try next.