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AI-Powered Production Feedback

Get AI feedback on your

Your tracks. Decoded.

AI production mentor for electronic music producers. Upload your Ableton project (.als) and/or audio bounce, get analysis and feedback that knows your mix inside out.

We read your audio AND your Ableton project. That's how the feedback gets specific.

How it works

From upload to actionable feedback in under two minutes.

Step 1

Drop your track

Upload your .als project and/or audio file, that's all we need.

.als
audio
reference

Drag & drop your files here

.als (Ableton) + audio (.wav / .mp3 / .flac / .aiff)

Analyze Track
Step 2

Instant deep analysis

Frequency spectrum, mix balance, arrangement, MIDI patterns, groove, scored and visualized.

Production Scores
78
Mix Balance
85
Arrangement
62
Dynamics
91
Groove
Overall74/100
128 BPM
F minor
5:32
Step 3

Key insights at a glance

The most important findings from your analysis, prioritized by severity so you know exactly what to fix first.

Mid-range buildup around 400 Hzwarning

Your kick, bass, and synth pads are competing in the 300-500 Hz range. Try notching down your synth pads by 2-3 dB in this region.

Kick attack needs more punchcritical

Your kick's transient attack is too soft. Increase the attack time on your compressor or add a short click sample to give it more definition.

Sidechain ratio well balancedinfo

Your current sidechain settings (4:1 ratio, 50ms attack) complement the groove perfectly, this is working well.

Step 4

Talk to your Sensei

Ask anything about your track. The AI knows every detail of your mix.

How can I improve my arrangement?
Your track has 11 sections but the energy dips significantly in sections 4 and 7. Consider using filter sweeps or adding melodic layers to maintain tension.
Should I add more layers there?
Instead of adding layers, try automating your filter cutoff to create movement. It's more efficient than stacking new elements and keeps your mix clean.
Your producer buddy

For when you're stuck and don't know why.

You can probably relate. Six hours into a session, your ears are tired, and something about the track isn't sitting right, but you can't pin down what. The buildup feels off, or the drop lands flat, or the mix is muddy in a way you swear wasn't there yesterday. You alternate between soloing channels and asking yourself whether you're being too critical, or whether it really is off. Your reference track gave you a target, not the steps to get there.

That's what TrackSensei was built for. We open your .als project file and your audio bounce together, and analyse both files: the structure of your project, the plugin chain on each channel, your routing and sidechains, the MIDI behind every part. So when we say "the pad is fighting the lead at 2:34", we mean exactly that pad on exactly that bar. Notes you can act on, in producer language, that point at the specific elements in your specific track.

And it adapts to what you actually make. Hypnotic techno isn't peak time. Peak time isn't hardstyle. The feedback knows the difference. The more context you give it (your reference track, your plugin chain, your level as a producer), the sharper it gets. Your taste, your tools, your direction. We just help you hear it.

Everything your track needs

Signature feature

Ableton Project Parsing

We read your .als file: tracks, devices, MIDI, automation, sends, everything.

How .als analysis works

Audio Analysis

LUFS, PLR, PSR, Bark-weighted spectrum, multiband stereo correlation, the metrics real mastering engineers use.

Production Scores

Four scoring pillars: mix quality, loudness, frequency balance, and arrangement. Each rated 0-100 with concrete flags on what's off, why it matters, and how to fix it.

AI Chat Mentor

Ask follow-up questions. Your Sensei knows every detail of your track.

MIDI & Groove Analysis

Chord detection, swing analysis, velocity curves, and pattern repetition insights.

Genre-Specific Feedback

12 main genres, 69 dedicated subgenre profiles. Industrial Techno scores against different targets than Minimal Techno, Gabber against different targets than Frenchcore, Phonk against different targets than Trap. Each profile has its own LUFS, spectral balance, stereo rules, and arrangement expectations. Pick your subgenre and the scoring adapts.

UltimateExclusive feature

Stem Interaction Analysis

Upload 2–4 stems. Get pinpoint diagnostic feedback on kick-bass clash, sidechain coherence, fundamental frequency tuning, and frequency masking between specific elements.

Data helps. Your ears decide.

Music lives in feeling, in groove, in the moments that give you goosebumps. No algorithm replaces that. We point you where to listen. The final call is yours.

Pricing

Start free. Upgrade when you need more analyses and deeper conversations with your AI production mentor.

Free

€0 forever

Try it out, no strings attached

  • 25,000 AI tokens / month
  • ≈ 2 full track journeys
  • Production scores + genre feedback
Get Started
Most Popular

Ultimate

€29/month

No limits, maximum growth

  • 400,000 AI tokens / month
  • ≈ 32 full track journeys
  • Expert AI feedback
  • Stems analysis included
  • Boosters available for extra tokens
  • Early access to new features
Go Ultimate

A “track journey” is roughly 1 deep dive plus 6 chats. Tokens are flexible, so you can chat more and analyze less, or the other way around.

Common questions

Audio: WAV, MP3, FLAC, AIFF, OGG. Project files: Ableton Live .als. Use one or both, combining gives the deepest analysis.

ChatGPT has never heard your track. TrackSensei analyzes your audio against genre-specific targets, then the AI interprets those numbers for your specific mix. Concrete and actionable, not general.

No. We use Anthropic's Claude API which does not train on API data. Your music, projects, and conversations are never used to improve any AI model.

Yes. 3 Deep Dives per month, 20 chat messages, no credit card required.

12 main genres in the upload dropdown, each with dedicated subgenre profiles for sharper feedback. Pick the closest match to your track and the scoring adapts to your selection:

  • Techno: Peak-time Techno, Hard Techno, Industrial Techno, Schranz, Raw Techno, Melodic Techno, Dub Techno, Detroit Techno, Minimal Techno, Acid Techno
  • House: Deep House, Tech House, Disco House, Bass House, Amapiano, UK Garage, Progressive House, Afro House, Future House, Acid House
  • Trance: Progressive Trance, Uplifting Trance, Psytrance, Goa Trance, Full-On, Vocal Trance, Hard Trance
  • Drum & Bass: Liquid DnB, Neurofunk, Jungle, Halftime, Jump Up
  • Dubstep: Riddim, Melodic Dubstep, Future Bass, Tearout, Brostep, Color Bass
  • Hip-Hop: Boom Bap, Trap, UK Drill, Chicago Drill, Lo-Fi Hip Hop, Phonk, Cloud Rap, Emo Rap
  • Hardstyle: Rawstyle, Euphoric Hardstyle, Xtra Raw
  • Hardcore: Gabber, Uptempo Hardcore, Frenchcore, Happy Hardcore, UK Hardcore, Speedcore, Terror
  • Rock: Punk, Post-Rock, Metal, Metalcore
  • Ambient: Downtempo, Drone, Dark Ambient, Cinematic
  • Pop: Synthpop, Dance Pop, K-Pop, J-Pop
  • Breaks: Big Beat

Each subgenre has its own LUFS targets, spectral balance, stereo rules, BPM range, and arrangement expectations. The scoring engine treats Industrial Techno, Dub Techno and Minimal Techno as three distinct things, not as one generic Techno.

Ready to level up your tracks.

Start with 3 free analyses per month. No credit card required.

Get Started Free