The system

One operating system for personal execution.

Six surfaces. One closed loop. Every screen answers a different version of the same question — what should I do right now, and why? Below is a tour of each, with the actual interface, not marketing dressing.

01
Capture

Text, voice, files. Local parser <50ms.

02
Understand

Intelligent extraction, dedup, entity resolution.

03
Workspace map

Live item graph with priority, recency, urgency.

04
Decide

Multi-signal priority layer with stability guarantees.

05
Learn

Adapts to your behavior over time.

Fragments / day across the beta cohort, last 7 days
Uptime SLA rolling 90-day window
Capture p99 local parser, on-device, no round-trip
Beta rating n = 180, weekly survey, last 30 days

Built for the way work actually happens.

Capture is messy. Priorities shift mid-day. Plans rearrange themselves while you're in a meeting. Krytz absorbs all of it.

PRIMARY Fix staging deploy bug
RANK SCORE 0.92
DEADLINE Friday · 17:00
✦
QA sign-off → unblocked
PRESSURE 64
BLOCKER 1 task waiting
Ranked #1 · commit
CAPTURED +12 today
DEP → deploy
RECENCY 0.80
The system, surface by surface

Seven surfaces. One loop.

Scroll. The visual on the left keeps pace with the story on the right — Command Center to Control Center, the order you'd touch them in a real day.

Command Center
Action Queue
Capture Console
Memory
Task Intelligence
Strategy
Control Center
Dependency map
What blocks what — done, doing, waiting, blocked.
Pressure
0–100 score · lever recommended to drop it.
resolves in ~22 pts
Primary action
One verb. Four actions: Start · Done · Snooze · Why.
Decision signature
Urgency · Dependency · Deadline carry on every row.
Live extraction
Type or speak. Items, dates, blockers extracted in real time.
Held back
Vague fragments stay out of the queue. Promotable on tap.
State scrubber
Replay any moment — what the system understood, then.
Why it moved
Signal deltas before / after.
7-signal trace
Per-item: urgency, dependency, deadline, recency, mention, fit, effort.
Sources
Every claim points to the capture that proves it.
Capacity
Weekly envelope · protected, at-risk, slack.
Simulate
Defer X. See pressure relief and downstream effects.
Limits
What the system can infer, do, and read — your call.
Activity history
Export everything. Delete anything. No vendor lock.
01 / 07
Command Center

The single screen that tells you what to do right now.

Open the app. See one directive, a pressure read, the live dependency map, and the events that shaped your day. No empty state. No "what would you like to add today?"

Dependency map. Items as a graph — done, doing, waiting, blocked. The system shows you where flow is stuck.
Pressure breakdown. Overdue + blocked + due soon + open load → 0–100 with the recommended lever to drop it.
Today stream. Every capture, blocker, completion, rank change — timestamped and replayable.
render real-time SSE live updates offline queue + cached plan
02 / 07
Action Queue

One Primary. Three Next. The rest, quiet.

Action Queue is the execution surface. The system commits to one primary action, ranks three more, and explicitly defers everything else. No infinite list. No anxiety scroll.

Decision signature. Urgency, dependency, deadline carry on every row. Tap for the full 7-signal trace.
Execution frame. Context above the verb — "you are closing a client-facing dependency," not "submit a deck."
Start · Done · Snooze · Why. Four actions. No priorities to set. No project pickers.
budget capacity-aware recompute on-demand stability anti-jitter
03 / 07
Capture Console

Dump in. See exactly what the system read.

Capture is not "add a task." It's a raw signal coming in. The console shows the impact map of every fragment — what was extracted, what got linked, what's held back as too vague.

Live extraction. Tasks, dates, blockers, commitments — surfaced as you type or speak.
Held back. Vague fragments stay out of the queue. Promotable on tap, with a one-line clarification.
Voice + offline. Walk and talk — captures queue locally and reconcile when you're back.
NLU entity-aware offline persistent queue voice 38s clips
04 / 07
Memory

Replay what the system understood at any moment.

Memory isn't a timeline of captures. It's a time machine for the system's state — pressure, decisions, rank changes, corrections — with a scrubber. See why a task moved from #4 to #1 on Thursday.

State scrubber. Drag through the day — pressure, queue order, blockers — exactly as it was at 11:03.
Why it moved. Signal deltas pinned to every rank change. No mystery promotions.
Causal recall. "What blocked the Asha proposal?" returns the state at the moment it stalled.
retention 90 days · 365 on Pro store chronological
05 / 07
Task Intelligence

Every task is auditable. No black box.

Tap any item. See the full picture: source evidence, extraction summary, why the system surfaced it, the lifecycle, and the related sources. Wrong about the deadline? Correct it — the model remembers.

7-signal trace. Per-item weights for urgency, dependency, deadline, recency, mention, fit, effort.
Source evidence. Every extracted claim points to the capture that proves it.
Override · remember. Correct it once; the model learns the rule for that kind of task.
provenance full chain override sticky
06 / 07
Strategy

Plan the week. Simulate the trade-offs.

Strategy is the long lens. See the week's capacity envelope, the load exposure across projects, the protected and at-risk commitments. Then simulate: what happens if I defer this? Pressure relief shown.

Capacity envelope. What's protected, what's at risk, what's slack — across the next 7 days.
Project exposure. Per-stream load — see where you're overcommitted before you say yes.
Simulate · commit. Defer X → see pressure relief and downstream effects. Then commit if it holds.
horizon 7 / 14 / 30 days simulation deterministic
07 / 07
Control Center

You govern the system. It executes inside your limits.

Control Center is the operating manual for Krytz itself. Decide what it can infer, what it can do automatically, what data it can read. Budget AI spend. Export everything. Delete on demand.

Inference limits. What the system can infer, do, and read — your call, per source.
AI budget. Cap the spend. The system gracefully degrades inside the envelope.
Export · delete. Everything. Anything. No vendor lock. No surprise retention.
portability JSON / Markdown deletion 24h hard-delete
SCENE 01 / 05
FRAGMENT → ACTION
SCENE 01 / 05 · CAPTURE

A fragment enters the system.

Voice, text, paste, or file. No form. No fields. No "what category is this?" — just the raw signal coming in. Sub-50ms locally.

SCENE 02 / 05 · EXTRACT

The system reads it.

Entities, dates, tasks, blockers, commitments — surfaced in real time. You can see exactly what Krytz understood, before anything is filed.

SCENE 03 / 05 · STATE

It lands in the workspace map.

The new item connects to existing work — dependencies, projects, related entities. Your full operating picture, kept live.

SCENE 04 / 05 · RANK

The priority layer scores it.

Seven signals, stability-clamped. The score is auditable — tap any item, see why. No black box, no opaque promotions.

SCENE 05 / 05 · DECIDE

It surfaces as your primary action.

One verb. Three on deck. The rest, intentionally quiet. The system commits — you execute.

LIVE · KRYTZ SYSTEM t = 0.000s
RAW CAPTURE · voice transcript
"Sam will send the Asha proposal by Friday — pricing for 25 seats. QA still pending."
TASK · Send proposal
DEADLINE · Friday
ENTITY · Sam
ENTITY · Asha
TASK · QA sign-off
Sam Asha proposal NEW · 03:14 Send proposal · Friday Pricing QA sign-off
RANK SCORE · 7 signals
U 0.86 · D 0.92 · dep 0.74 · rec 0.65 · m 0.80
0.84
#1
Send Asha proposal v3
PRIMARY
#2
QA sign-off for v2.3
NEXT
#3
Q3 investor deck
NEXT
Try it · 01 / 07

Watch a fragment cross the system.

Voice, text, files fan in. Capture buffers. Extract reads. State updates. Rank recomputes. Decide commits. Learn tunes the weights. Live, in milliseconds — not a metaphor.

● LIVE · particles emit every 280ms 8 nodes · 9 edges · 1 feedback loop
Try it · 02 / 07

The workspace map. Drag a node.

Your work is a graph, not a list. Tasks repel, dependencies pull, blockers glow. Drag any node to reposition; the simulation rebalances live. Scroll to zoom.

DRAG a node · the sim resettles SCROLL to zoom · HOVER for details
Try it · 03 / 07

Move a slider. Watch the prioritization rebalance.

Krytz ranks across seven signals. Drag any weight, or push a deadline closer on a specific task — the list resorts deterministically. No black box. No opinion drift.

DRAG a signal weight OR override one task's deadline
Try it · 04 / 07

Paste your real text. See the live extraction.

This isn't a fixture. Paste a meeting note, a slack thread, an email — Krytz parses it on the spot using the same extraction prompt that powers the production capture path.

LIVE · powered by assistant FALLBACK · local heuristic extractor
Try it · 05 / 07

Replay a day. Drag the cursor.

Memory is a time machine for the system. Every capture, every decision, every rank change is chronological. Scrub through a representative Wednesday and watch the day reconstruct.

DRAG the handle · 8AM → 6PM PLAY · auto-advance at 2 / 8 / 30× speed
Try it · 06 / 07

19 systems under the hood. Click any to inspect.

Krytz is a distributed intelligence stack. Each system is measured, circuit-broken, and audited at runtime. Tap any cell to see live throughput, latency, queue depth, and call volume.

CLICK any system · metrics fly out LIVE · 1.2s tick · all 19 cards healthy
In the field

Used by independent operators, founders, and small teams.

Trust principles

Bounded by design. Stable under load.

Without hard limits, prioritization systems oscillate and users lose trust. Krytz is systemered with stability constraints at every layer.

Cascade depthBounded
Prioritization stabilityAnti-jitter
Learning rateDamped
Jitter guardAuto-freeze
AI budgetHard-capped
Priority rangeNormalized
Try it · 07 / 07

What would your team pay?

Drag the slider. Toggle yearly. Krytz pricing is linear, capped, and predictable — no per-seat AI surcharge, no hidden surcharges. Just a flat budget envelope per user.

SLIDE team size · 2 → 80 seats TOGGLE monthly / yearly · save 20%

Six surfaces. One loop. One system that tells you what to do.

Closed beta is live. If you're tired of lists that don't load-balance themselves, write to us.

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