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DialIQ Learns From Every Shot

DialIQ turns your shot history, taste feedback, bean context, and grinder setup into sharper next-step recommendations. No generic ranges. Your data, your workflow, your next move.

Espresso Pour Over Per Grinder Memory AI Guidance Community Intelligence
Session 1Starts from your current grinder & bean
Session 10+High-confidence, trend-aware recommendations
Small MovesCapped, practical next-step grind adjustments
Pressio guided dial-in animation

How DialIQ Works

  • Log shot data: grind setting, dose, yield, time, and taste direction.
  • AI identifies extraction pattern (finer or coarser) using your history and bean context.
  • Apply the next move and compare results — the AI validates the direction.
  • When stable, save the configuration as a reusable playbook for future bags.

Works with numbered (stepped) and micron burr gap (stepless) grinder scales — Pressio auto-detects your scale direction.

AI Learning Loop

Log ShotAnalyzeAdjust GrindSavePlaybook Repeat until balanced

How the AI Improves Over Time

Recommendations get more specific as your history grows. Pressio uses your own brew outcomes plus bean context — not one-size-fits-all extraction charts.

Sessions 1–3

Establishes a baseline from your grinder model, bean profile, and first extraction results. Community grinder data provides safe starting guardrails.

Bean Context

Integrates roast level, age, process method, storage, and Bean Scan physical cues (color, oiliness, density, consistency) so recommendations account for the bean itself — not just the grinder.

Sessions 4–10

Detects your recurring sour/bitter patterns and the typical step size that works for your palate and grinder. Drift alerts activate when extraction trends diverge from your baseline.

Sessions 10+

High-confidence recommendations prioritized using your full trend history and saved dialed settings. Bean-age drift is separated from true grinder drift so adjustments stay accurate.

Community Grinder Intelligence

Pressio pools anonymized grinder data across users to build smarter starting-point recommendations for popular models — Niche Zero, Baratza Encore, Baratza Encore ESP, Baratza Encore ESP Pro, and more. You can also contribute new grinder profiles to the community database.

Why It Outperforms Generic Notes

ApproachWhat happensYour result
Static notebookRaw entries without guidanceSlow trial-and-error, easy to lose track
Generic extraction chartOne-size-fits-all range for all grindersInconsistent with your specific grinder & bean
Generic app remindersNo memory of past sessionsSame advice every time, no improvement
Pressio Dial-In AIPer-user, per-grinder, per-bean learning loop with community guardrailsTighter recommendations that improve with every logged brew

Ready to tighten your dial-in loop?

Open Pressio and start with your current grinder. The first few logs build enough memory for highly specific, personalized recommendations.