Everett 1.0

EQ Plugin

macOS 11.0 or later (Intel & Apple Silicon supported)

Using Everett 1.0 Effectively

This isn't just another EQ — it's an intelligent audio assistant. The better you communicate, the better the results.

Prompt Engineering Tips

  • ✅ “Tame the harshness around 3–4 kHz in the vocals”
    🚫 “Fix the harshness”
  • Use familiar audio terms like “muddy,” “boxy,” “airy,” “scooped,” “nasal,” or “bright”
  • Include both the source and your intent: “Make the snare brighter and punchier without adding harshness”
  • Describe the musical context: “Help this vocal cut through a dense trap mix”
  • Specify problem areas when possible: “Reduce buildup around 200 Hz in the bass and kick”
  • Be clear about creative direction: “Give the guitar a more vintage, mid-forward tone”
  • Use contrast when helpful: “More airy like Billie Eilish vocals, less boxy like early demo takes”

What Everett 1.0 Is Great At

  • Detecting and correcting tonal imbalances based on spectral energy
  • Providing genre-aware EQ suggestions informed by reference data
  • Making clear, explainable decisions based on measurable audio cues
  • Translating natural language prompts into actionable EQ changes
  • Adapting advice based on the characteristics of a specific audio source
  • Suggesting corrective EQ that aligns with common production practices

What It’s Not Designed For (Yet)

  • Interpreting subtle intent behind vague or metaphorical prompts
  • Understanding creative goals without clear audio context
  • Making nuanced decisions about dynamics or transient control
  • Evaluating how a sound fits within a full mix without mix-aware input
  • Handling edge cases like mic bleed, noise, or complex layered sources