Topic

DAW 101

  • The DAW mixer explained: faders, inserts, sends and buses

    The DAW mixer is a row of channel strips, one per track, each with a fader for level, a pan control, insert slots for effects on that track, and sends that feed shared effects on return tracks, all summed through buses into the master. AI now works the same controls: assistants set levels and build effect chains, and an AI DAW can run a whole first-pass mix you then adjust by hand.

    Workflows

  • Plug-ins explained: instruments, effects, and AI as the new plug-in

    Plug-ins are add-on programs that run inside a DAW: instruments that make sound from MIDI notes, effects that process audio, and MIDI effects that change notes. Formats such as VST3, Audio Units and CLAP decide which DAWs can load them. AI arrived as plug-ins first, and in an AI DAW the AI now picks and sets up your plug-ins for you.

    Workflows

  • Project files: why you can't open an Ableton set in Logic

    A DAW project file is the recipe for your song: tracks, notes, plug-in settings, automation and pointers to your audio, saved in a format only that DAW fully understands. That is why an Ableton set will not open in Logic. To move a song, export stems and MIDI, try the open DAWproject format where it is supported, or work in a cloud studio where the project lives online.

    Workflows

  • Transport, tempo and the grid: the clock behind every DAW

    The DAW transport is the strip of play, stop, record and loop controls; the tempo in BPM sets how fast the song's clock runs; and the grid divides that clock into bars and beats so notes and clips snap into time. Together they decide whether parts line up. AI DAWs now read the tempo and key of a recording for you and fit the project to it.

    Workflows

  • Do you need music theory to make music in 2026?

    Do you need music theory to use a DAW? No. You can make complete songs without reading notation or naming chords, and in 2026 the DAW and its AI tools fill in much of what theory used to gate. Theory is still worth learning, a little at a time, because it makes you faster and helps you explain what you want. Here is what you can skip, what to learn first, and where AI fits.

    Workflows

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