/
Foundations
Components
Blocks
Pages
Screens
Library
Playground
Grab Pro Now
Customize your admin
Grab Pro Now
Customize your admin
Functional card modules in one design language — replicated, translated, or elevated from designs in the wild, and ready to compose into any screen.
A speedometer FICO gauge: the needle sweeps up to today's score while the figure counts up and the grade pill crossfades through its bands, then a Score Factors panel breaks down the drivers. Replay runs it again.
Drag gross income and watch it get taxed in slices: each bracket bar fills with the income landing in it, the marginal-rate pill and highlighted rate track the top bracket reached, and total tax / effective rate recompute live. Preset chips tween the income.
Four balances, minimums on all of them, every spare dollar aimed at the smallest — and when it clears, its minimum rolls onto the next. One clock replays the whole 52-month plan, accelerating as it goes: bars shrink, cleared rows go green with the month they died, and the single payment pill flies down to each new target and counts up as the snowball grows. Every figure is solved from four opening balances and one $600 budget.
$26,925 left · 0 of 4 cleared
A spend sheet whose cumulative curve splits at now — measured behind it, dashed forecast ahead — over the three agents that moved the month. The reference's decorative header mesh is promoted to the card's one instrument: an aurora that changes temperature with the year-end projection against the cap, so setting a budget in the footer band recolours the header, the forecast line and the verdict together. The movers sum to exactly August's swing in run rate.
Spent year to date
$0.00
vs the previous 236 days
atlas-research
long-context runs up 3.2×
lumen-indexer
nightly re-index added
juno-support
cache hit rate improved
Net +$730 on August's run rate
Projected $38K by Dec12% over the 2026 cap
A dark billing card: segmented usage meter, period switching with count-up figures, expandable history with pagination, and a live-refresh toast.
CREDITS USED
0.0%
A dark audio player: animated waveform with seek + hover preview, live playback, speed and volume controls, and an expandable view with chapters.
SIGNAL / NOISE
12/31/2025
A five-band board for shaping a track: drag a fader, tap a preset, or bypass the lot. The response curve is not decoration over the faders — it is the same five gains drawn a second way, smoothed through the fader centres so a boost sits directly above the fader that made it and the fill closes on the 0 dB line, which is what makes a cut read as a hole. Moving any fader detaches from the preset and the header pill says Custom; a derived line reports the hardest-working band and the loudness the whole curve adds.
Static Bloom · Kite Weather
flatavg +0.0
Drag a fader · tap a preset · toggle bypass
A monitoring dashboard: status tabs with live counts, integration / status / search filters, scanning health bars, pagination, and a re-check action.
Atlas
Spend management
Ledger
Payments
Relay
Team messaging
A new-alert-rule form: metric + condition selects, a threshold slider driving a dashed line on a live preview chart, a Healthy/Breaching badge that flips in lock-step, and toggleable notify channels.
Trigger when a metric crosses your threshold.
oncall@lumen.dev
Slack
#alerts-prod
PagerDuty
Escalate to on-call
SMS
3 recipients
Webhook
POST /hooks/alert
A sandbox egress allowlist: tap a host and a request travels from main.js toward a default-deny wall — allowlisted hosts pass through to a 200, everything else is bounced as EPERM. The terminal logs each verdict and the header tallies pass / drop.
A KPI widget: time ranges re-tween the headline along a poor→perfect spectrum meter, target presets flip the above/below badge, and a donut alt-view rounds it out.
YOUR OPT-IN RATE IS 79% HIGHER THAN INDUSTRY MEDIAN
A plan picker: selecting a tier expands its features with a motion height animation; the billing toggle swaps in strikethrough + discounted prices.
CANCEL ANYTIME. NO LONG-TERM CONTRACT.
A share modal: e-mail chips + role picker land invitees as animated member rows, per-member role menus with remove access, and a general-access band.
4 PROJECT MEMBERS
Mara Ellison
m.ellison84@gmail.com
Theo Brandt
theo.brandt@gmail.com
Ines Novak
ines.novak91@yahoo.com
Ruben Ortiz
ruben.o_92@gmail.com
GENERAL ACCESS
View-only access for anyone with the link
The queue an autonomous run stops at when it needs a human. A plan arrives with a countdown that will approve it on silence — hover the ring to revoke that, expand the fold to read all six steps — and behind it a three-question wizard whose last option is always a text field for the answer nobody offered. Skipping hands the agent its defaults; either way the queue ends in the decisions you actually made.
Replace the password form with e-mail links and device passkeys.Ships behind a flag with a one-command rollback.
An AI agent status card: a pixel mascot, live task progress on the shared tick meter with accruing tokens, cycling tasks, pause/resume, and an activity log.
Juno
EXECUTIVE ASSISTANT
CURRENT TASK
A multi-agent orchestration panel: six agents leave the queue on staggered delays, phase labels crossfade as bars advance, with pause/resume and a reset rewind.
Brief writer
Drafting the Q3 launch brief
Code review
Reviewing PR #217
Research agent
Competitor pricing sweep
Email drafter
Reply to the vendor thread
Data analyst
Q3 retention cohort
Web browsing
Collecting founder bios
0% avg progress
A supervisor holding three long-running agents, each lane an ECG that scrolls at its own resting rate. Tap one to kill it: the waveform collapses onto the baseline, a grace ring drains for three seconds while the watchdog waits for a heartbeat, then SIGKILL — and a new process answers on a new pid with the restart tally one higher. Every reading, down to the footer line, is a function of one clock.
A release poster for an open-weight model, built around the one thing it claims to be good at: a question in plain words, then the tool call typing itself out, the ✓ landing a beat later and `resolved` a beat after that. The deck rotates through three tools — a model that always reaches for the same one is not demonstrating tool choice — and the reference's brand green becomes `--primary`, so the poster reskins with the theme.
An AI run visualized: one stage color themes the whole card — logo, status, progress, step checks, workspace scenes — as it reads, searches, thinks and writes.
Ship the theme switcher 0 / 5
tokens.css
0 tokens$0.0000:00
A reference poster of the six agent-orchestration patterns — chaining, routing, parallelization, orchestrator, evaluator loop and autonomous — each a little node-and-connector diagram with an accent flow dot, an edge-case note and a one-line usage.
a failed gate stops the chain
fixed steps, each checks the last
classify first, then specialise
run at once, merge or vote
subtasks decided at runtime
rejected, back with the notes
write, grade, repeat until it passes
no fixed path, it decides when done
Four ways to deploy an agent — batch, stream, request, edge — read against the one thing that actually varies: the window between the work arriving and the answer being due. Each lane is the same left-to-right pipeline running its flow dot at its own speed, and each ends on the failure that comes attached to its shape.
the same agent, four answer windows — schematic, not measured
Nothing here is a preference. The window between the work arriving and the answer being due is set by the product, and it decides the rest: whether a queue can absorb a spike, whether replicas need warm models, whether there is a network at all. Pick the shape that fits the window, then live with the failure that comes attached to it.
One agent run as a five-node graph — Prompt, three Tools, Response — that a single clock walks through three stages: receiving the prompt, running the tools, composing the response. Nodes glow, connectors flow, the activity panel swaps, and the meter accrues tokens / cost / time.
W
Both columns draw the SAME 47 dots on the same five-level ladder — the only variable is where the colour lives. The literal side flips them one edit at a time and three misspelled ones stay blue, the last shipping to production a week later; the token side flips all 47 in the frame its one line changes. Edits are counted off the flipped dots, never asserted.
they part company here — where the colour lives
Literals
the colour lives everywhere
The 47th literal ships to production, in the wrong colour.
One token
the colour lives once
The rebrand ended a week ago, at step two.
a week laterA customer screenshots the old blue on a dark-mode hover. The fix is one more edit — plus the knowledge that there is no way to know it was the last one. That certainty is what the token was.
Both columns hold the same 47 coloured surfaces. The difference is how many PLACES the decision was made: 47 literals are 47 decisions, and a missed one does not error — it just sits there quietly wrong until a dark-mode hover exposes it. One token is one decision, which is why the right side was finished before the left side had opened its editor. Consistency grows up from the bottom of the ladder, or it does not grow at all.
One date picker, six Mondays. Each panel is a moment where ownership stops being philosophy: the owned answer arrives with a RECEIPT (+2 −2 shipped today, −214 lines, one cherry-pick) while the rented answer is a workaround, a wait or a fork. The sixth Monday is this era's: an agent edits the source that actually runs, or guesses against a memory of some version.
the same component in every panel — the only variable is where its source lives
Owning the source is not building from scratch, and it is not forking either: upstream stays a diff SOURCE — read its changelog, merge the capabilities worth having into your component. The unit of an upgrade is a capability, not a version. What is actually expensive is the middle position: not owning it and still needing to bend it.
One repo, ten small changes, four sessions — and three written rules as the only difference. Every change shows its real line of code and wears a colour per convention, so drift is visible before any number is read: the left column becomes four colours while the right stays one. Counted, not asserted — a reader can recount the conventions off the screen.
they part company here — whether three rules were written down
No codex
every change decides for itself
const u = await getUserById(id)
const list = await getOrders()
const p = await fetch_profile(id)
if (!p) return null
function fmtDate(d) { … }
console.error('bad date')
const t = await loadTeam()
function formatDate2(d) { … }
try { … } catch {}
const s = await fetchSettings()
“We don't write it that way here” — said four times, in one week.
Three rules
decided once, applied every time
const u = await getUser(id)
const list = await getOrders()
const p = await getProfile(id)
if (!p) throw new AppError('no profile')
import { formatDate } from '@/lib/format'
throw new AppError('unparseable date')
const t = await getTeam()
import { formatDate } from '@/lib/format'
throw new AppError('charge failed', { cause })
const s = await getSettings()
Review spent its whole budget on whether the logic is right.
changes 9–10 · reviewReview time. On the left, every comment is a matter of taste, so each one is negotiable and half of them lose. On the right there is nothing to negotiate, which is what frees a reviewer to look at whether the code is CORRECT.
Not one of the left column's choices is wrong on its own. That is the point: divergence is what ten reasonable decisions taken independently look like, so “please be consistent” cannot produce consistency and three written lines can. Consistency is a codex problem, not a talent problem — and not a model problem either.
One clean machine, one repo, one goal — and two transcripts. The metric is deliberately not time: “decisions taken by you” is COUNTED from the lines each transcript attributes to you, so the number cannot drift from what is drawn. Step five is the point — the left column ends with a working machine, the right with a working machine and a replayable record of how it got there.
they part company here — who executes
By hand
you execute, the README guides
The next person repeats every trap you already paid for.
Described
you decide, the agent executes
The next person runs one command — and improves the record.
the next personA week later somebody else joins. The left column is performed again, trap for trap, because a machine cannot be handed over — only a procedure can. On the right the procedure already exists, because it was written down by the thing that carried it out.
The left column ends with a working machine. The right column ends with a working machine AND a recording of how it got that way — and only one of those two things can be handed to the next person. That is the whole claim: describing a setup produces an artefact, performing one produces only a mood.
One spec, three people, and one question asked three weeks later. A five-step walk shows the same events taking two shapes: the left column accumulates FILENAMES until it reaches spec_latest_suzuki_v2_final.xlsx, while the right one never grows a second file and grows a list of REASONS instead. The argument is identity, not file formats — whether “the current version” names something a machine can find.
they part company here — where the change lives
Attachment
it travels as a copy
Search the thread, ask around, guess.
Repository
it stays in one place
git blame line 41 → b4d5e6f → “fix the timeout wording”.
three weeks laterSomeone asks why the timeout is 30 seconds. On the right that is one command, and the answer arrives with its reason attached. On the left it is an archaeology project with no guarantee of a finding.
None of this is about Excel being a bad program. It is about an attachment being a COPY: the moment a document travels as one, “which version is true” stops having a mechanical answer — and every habit a team invents to compensate (a naming convention, a shared drive, one person who remembers) is an unpaid version-control system with no diff.
The second layer of the agent lineage as a versus: one question, one repo, one history, and two ways to assemble them into the same 200K window. A twelve-turn clock walks both — the dumped side hits the ceiling at turn three and starts evicting material it will have to read again, while the curated side compacts and keeps its headroom. The counters are the argument, not the bars.
they part company here — what gets assembled
Paste it all
a bigger window will fix it
6 evictions in: the run is now paying to read files it already read.
Edit it
the window is the budget
2 compactions: transcript dropped, conclusions kept, nothing re-read.
Both designs fill up; only one can afford to choose what it loses. A window that starts at 88% has no compaction strategy available to it, only eviction — and eviction is how a run ends up paying twice for the same file.
Every panel ends with the codex line the failure produces, which is why this is not a list of warnings but an account of where a codex comes from. The entry requirement is that a failure survives careful reading — anything you catch by looking harder belongs in review, not here — so every catch names a mechanism rather than an attitude.
every one of these survives careful reading — that is the entry requirement
None of these is caught by being careful, which is why “review it properly” is not a plan. Each is caught by a mechanism, and each mechanism is one line long — so a codex is not a document somebody sat down to write. It is the transcript of the times you were fooled.
Six decision points rather than six tips: each panel shows the screen exactly as it appears, marks the ONE span to read, and reveals what a wrong yes costs. Five are the agent asking you; the sixth is you about to paste something, which is the only risk no permission prompt will ever stop.
five of them are it asking you — the sixth is you about to hand it something
A first day spent learning features produces someone who can drive. A first day spent learning where the wheel gets handed over produces someone who can be trusted with it — which is the only one of those two people a company can actually deploy.
Every panel operates on the SAME five lines of spec, so six slogans become six operations you can watch happen to one paragraph: diff marks two lines, blame hangs a name on each, review pins the argument to line three, revert puts a line back, branch grows a proposal beside the text rather than beside the file, and the gate flags the line that rotted. Each panel also names what you do today without it.
the same five lines of spec, in every panel
None of these is a feature of Markdown. They are properties of keeping ONE copy in a place that records every change — which is why the format argument is the small half of this, and the storage argument is the whole of it.
The first layer of the agent lineage as a field guide: role, examples, output contract, reasoning-first, quoting the data, temperature. Every panel draws the same 15-column strip, so six techniques read as six reshapings of one thing — the room the prompt leaves the model — and one clock engages them in turn. Tap any panel to work it by hand.
None of these makes the model smarter. Each one deletes continuations you did not want — which is the only thing a prompt can do to a machine whose job is to continue text.
A reference poster of the eight ways an agent loop should stop — goal met, turn cap, budget cap, wall clock, no progress, human interrupt, error threshold, external event. One clock replays every panel on a shared run timeline: the playhead hits its threshold marker, a halted pill pops with a ripple, and the cycle resets.
the one exit teams design for
catches the task that would never finish
the exit that cancels the 3am invoice
for runs that outgrow their deploy window
busy every turn, changing nothing
a kill switch within actual reach
stop retrying into the same wall
the work got done somewhere else
A reference poster of the ten evals an AI engineer reaches for — golden set, LLM-as-judge, rubric scoring, trajectory eval, tool unit tests, regression suite, A/B in prod, human review, shadow run, red team. One clock replays every panel: a playhead marks pass/fail, a draft travels to a judge that counts up, a trajectory flags the wrong tool call, traffic splits A/B, and a red-team attack slips past the guardrail.
A reference poster of everything an agent does before it answers — renders the prompt, picks the context, trims the middle, loads tool schemas, chooses one tool, guesses its arguments, waits on the call, truncates the result, retries in silence, grades itself, picks a branch, compacts the history, writes to disk, spawns a subagent, and shows you one line. Elevated over the reference: the fifteen panels are staged on one clock so the poster reads as a single turn walking its pipeline, and a turn rail tracks the live stage.
template plus variables, not what you typed
which files and history get in
what did not fit is simply gone
every tool you defined costs tokens
one call, out of everything available
the path it guessed, not the one you meant
the latency nobody attributes correctly
42k of output, 900 tokens kept
the failure you never saw happen
only if you wrote a rubric
continue, retry, or stop
your turn 3 becomes one sentence
the only part that survives a crash
burns 40k, hands back 1k
the one line you actually read
One context window read as an attention U-curve: the system prompt and the question you just asked sit at the strong edges, the file you pasted sits in the trough, and a token strip underneath dims with the same curve. Elevated over the reference: the amber rule is a probe you can scrub anywhere in the window — reliability, colour, and the verdict at the foot of the poster all re-read as it moves, and "Strongest slot" snaps it to the position that survives.
One instruction, four fixed slots, and one rule you can move.
how reliably a position gets used
The system prompt
re-read on every single turn
strong
The file you pasted
six thousand lines of it
weakest
Tool output from earlier
climbing back, not all the way
fading
The question you just asked
the last thing it reads
strong
The system prompt
re-read on every single turn
The file you pasted
six thousand lines of it
Tool output from earlier
climbing back, not all the way
The question you just asked
the last thing it reads
Your rule is parked in the blind spot
you did not write a weak rule. you put a good rule in a weak slot.
Two verification chains from the same task, drawn side by side: identical for three steps, then one loops the output back into the agent that wrote it while the other hands it to a test that never reads it. Elevated over the reference: a scenario switch decides whether the output is actually correct — flip it to wrong and the external chain turns rose and blocks, while the self-review chain is unchanged and still accepts.
Who is allowed to say the work is done.
Self-review
the agent checks its own work
the task
what was asked
the agent
one context window
the output
a diff, an answer, a plan
the same agent reads it
same weights, same window
it looks correct
generated, not measured
accepted
on the strength of a sentence
a second opinion from the same source
drawn from the same context that produced the output
External check
something outside decides
the task
what was asked
the agent
one context window
the output
a diff, an answer, a plan
a test runs
it never reads the output
pass or fail
the suite came back green
accepted
on the strength of a signal
evidence the agent cannot write
it ran, and it came back green
The third CRM card: who can see which record, and which layer decided. Access is not a setting — it is computed per record by layering profile (a ceiling), record owner, org-wide default, role hierarchy, sharing rules and team shares, where the most permissive layer wins and only field-level security subtracts. Pick a person and a record and the stack resolves live: a VP cannot see a CS rep's case, peer AEs cannot see each other's private deals, and an SDR reaches a deal only through the opportunity team — still capped to read, with the amount masked.
Access isn't a setting — it's computed per record. The most permissive layer wins.
The companion to CRM workflows: that card shows how the process runs, this one shows how the records connect. The schema walks itself — from one Account out to 4 contacts, 2 opportunities, 1 quote, 3 cases and 37 activities — and the five relationship shapes every CRM is built from are selectable: 1:N, N:M through a junction object of its own, polymorphic, self-referencing, and the one-way Lead conversion. Object totals reconcile with the workflows card, and each object names the workflow steps that touch it.
Seven objects, five relationship shapes — and what one record reaches.
The Account is the hub: almost everything hangs off it. The two shapes people miss are N:M, which needs a junction object of its own, and poly, where one field points at several object types.
What a standard CRM actually runs, as one revenue lifecycle instead of a feature list: capture & route, score & qualify, convert, pipeline, cadence & SLA, quote & approve, handoff & cases, renew & expand. The spine carries each step's volume so the funnel visibly narrows; selecting a step plays that workflow's own animation and names its trigger, the records it writes, the role that owns it, and the rule the CRM fires automatically. Left alone it tours all eight.
The eight things a standard CRM runs, in the order they happen.
Every inbound lead lands in one place, gets checked for duplicates, and is assigned an owner before anyone touches it.
The method behind a 535,496-line port done in eleven days with 64 agents, as a working graph: a rulebook every worker starts from, one compile hoisted out of the loop, four isolated worktrees, two blind reviewers, and the edge that matters — a rejection routes back into the rules, not the file. The graph is coloured by which principle governs each part, so selecting a rule lights exactly its region; rule 2 gets a live proof — kill the run and it resumes where it died.
Don't drive the agents from a chat. Draw them a graph.
A precision picker: the 8×8 weight grid re-quantizes to coarser shades as bit depth drops, metric bars re-scale, and the fit verdict flips against the GPU budget.
WEIGHTS
4-bit / weight
4 shade levels — fewer bits store coarser values.
Fits comfortably on 16 GB
6.0 GB needed · 10.0 GB free
Q4_K_M — best size / quality balance
A model-training monitor: train/val loss curves grow point by point past epoch checkpoints while metric tiles re-compute live, completing into a deploy state.
LOSS
2.432
VAL ACC
31.0%
LR
3.00e-4
GRAD NORM
1.38
A task list: subtask clicks advance progress, Mark as all done completes every card, Add Task prepends a row, and the toolbar sorts and filters the live list.
Fix stuck transaction status on delayed card captures
Audit onboarding illustrations for design-system drift
Add voice-note comments to task threads
Scrub a UTC hour across SF, NYC, São Paulo and London: each row's working-hours heatline tints its local readout live, the footer narrates the overlap, and Find best time springs the scrubber to the one hour that works everywhere.
A deployment modal: status rows build sequentially from one clock — activity waveforms stream in, Status walks Building → Ready, and the error summary lands.
main-7d2e9c4
The Fastest Way to Ship at the Edge
Start freeDomains
Source
MAIN
7d2e9c4/ TRACK RETRY EVENTS IN THE CHECKOUT FLOW#1420
Deployment Status
A net-worth tracker: range pills re-tween the delta and redraw the glowing sparkline, View all splits the allocation bar's grey remainder, Add asset syncs holdings in.
YOUR TOTAL NET WORTH TODAY
$0
+$0+0.00%
6 assets/ UPDATED 3 MIN AGO
One semantic category system traces transit/stay/food/sights/nightlife through the day timeline, true-proportion budget bar and neighborhood-fit matrix.
Monochrome share bars with green/red earned by trend direction only, a single-hue intensity heatmap with red-ringed outliers, and live-computed snapshot tiles.
$0USD
$6,240 / $7,800 INCOME
TWO OVERLAPPING STREAMING PLANS — MERGING SAVES $18/MO
A five-stage pipeline color system binds the neuron diagram, the numbered steps and the formula tokens — click a step to trace it; four levels of original copy.
Passing little notes down the line
Imagine a room full of tiny workers holding strings. When a cat picture comes in, the first workers shout what they spot — pointy ears! whiskers! — and pass notes to the next row. The last row reads every note and yells the answer: cat! Each time they get it wrong, they swap a few strings around so the notes come out better next time.
It's a team game that gets sharper with every round.
ŷ = σ(w₁x₁ + w₂x₂ + w₃x₃ + b)
Perceptron
1958
~1K PARAMS
CNN
1989
~1M PARAMS
LSTM
1997
~10M PARAMS
Transformer
2017
10⁸–10¹² PARAMS
PARAMETER BARS ARE LOG-SCALE — EACH STEP IS ROUGHLY 1,000×
Semantic color retreats to rating badges and scores, the headline follows the selected night, and the fix list becomes a reconciling potential calculator.
0/100
ONLY 12% DEEP SLEEP
IN BED
7h 07m
ASLEEP
6h 18m
EFFICIENCY
89%
24°C
POOR35%
FAIR42 dB
FAIR12 lux
POORSCREEN TIME UNTIL 11:45 PM IS SUPPRESSING MELATONIN
Product hues become non-semantic accents traced through score meters, spec cards, breakdown bars and the radar; green is earned by computed best-per-spec values.
$999
$1,299
$899
THE WINNER TAKES ONLY BUILD OUTRIGHT — CONSISTENCY, NOT PEAKS, DECIDES THE PODIUM
Monochrome rank bars, one hue with dashes for the forecast, regional sales that finally sum to the headline, and bear/base/bull pills redrawing the projection.
MARKET OVERVIEW · 2020–2027
GLOBAL SALES '24
17.1M
↑ 28% VS 2023
PENETRATION
13.4%
↑ 3.8PP YEAR-OVER-YEAR
2027 FORECAST
0M
CAGR ~30% · BASE
CHINA TAKES 60% OF THE GLOBAL EV MARKET — 10.2M OF 17.1M UNITS
Vitals go neutral with semantic color only in rating badges and percentile bars; resource hues survive via the tiles ↔ true-proportion bar cross-reference.
0/100PERFORMANCE
5.8s
Largest Contentful Paint
BOTTOM 12% OF SITES
180ms
First Input Delay
BOTTOM 45% OF SITES
0.32
Cumulative Layout Shift
BOTTOM 18% OF SITES
340ms
Interaction to Next Paint
BOTTOM 38% OF SITES
1.8s
Time to First Byte
BOTTOM 8% OF SITES
3.2s
First Contentful Paint
BOTTOM 15% OF SITES
IMAGES ARE 62% OF PAGE WEIGHT — CONVERTING FOUR OF THEM SAVES 3.1 MB
A crypto swap translated to fiat FX: searchable currency selectors with favorites, %/MAX chips from account balances, a rotating pair button, and a live countdown quote — all cross rates from one perUSD table.
A recent-activity list: direction pills re-stagger the rows, money-in is the only green, and the footer net always equals the sum of the visible rows. Rent and auto-save figures cross-reference the Monthly expenses card.
TRANSACTIONS · FEBRUARY
Major pairs with 24h deltas and direction-colored sparks; sort pills re-order with layout animation. Rates share the Currency swap card's perUSD table, so the two cards can never quote against each other.
FX WATCHLIST · MID RATES
An agent run replayed on a Gantt timeline: playback reveals each step by its real start/duration, model steps count tokens up, Show tool I/O expands every call, and Raw trace crossfades to an event log.
research-agent-v2 · 9 steps · 9.71s
The strategy the planner weighed: a branch diagram tracks the selected candidate, clicking any of the four inspects its reasoning and utility score, and the branch the agent actually took keeps its PICKED chip.
The agent considered 4 strategies and picked the highest-utility branch.
SELECTED REASONING
The three sources are independent and rate-limit safe, so fetching them at once collapses wall-clock from ~6.4s to ~2.1s at negligible extra cost — the best latency-for-cost trade available here.
A 24h agent-runs time-series in 30-min buckets: three earned-outcome area series (success / failed / timeout) with soft gradient fills; click a legend chip to toggle a series and the count-up headline and y-scale re-settle to what's visible.
30 min buckets · last 24h
Total runs
0
A KPI stat with a draw-on sparkline: range pills (24H / 7D / 30D) re-tween the headline via count-up and redraw the spark, and the delta earns green or red by whether the metric is good up or down.
0
An oklch ramp that is computed, not picked: lightness, chroma and hue each get one curve, and the stops are what falls out. The reference's swatch strip and its column of per-stop sliders are the same stops drawn twice, so here they share one grid — every swatch sits on top of its own bar. Under it the ramp is spent as surfaces, light scheme and dark, each reporting the two contrast ratios that decide whether a palette is usable at all — a swatch strip can look handsome while every one of them fails. Pick a curve, drag k and d, and watch the printed formula stay true of the ramp above it; stops that leave sRGB are counted rather than quietly clipped.
OKLCH · GENERATED, NOT PICKED
Section title
Body copy sitting on the surface.
PrimarySection title
Body copy sitting on the surface.
Primaryy = atan(kx − d) · normalised into [from, to]
One pill that grows around a notification and swallows it again: the content sits at full size while the capsule expands to reveal it, hovering holds the clock, extra taps queue behind the one capsule on stage, and Demo scripts a run of every tone.
A task relayed through four agents, replayed from one clock: the agent holding the baton wears a breathing halo, finished ones keep a check in their own colour, and the rail under them is a relay — each segment wears the colour of the agent it leaves, so the finished path reads back as the hands the task passed through.
Two retrieval architectures side by side as living circuit diagrams: blue is the RAG machinery, green the cache-augmented variant, amber the one query/answer path threading both. Every edge carries a pulse, and all pulses leave in phase — one synchronized tick of data through both pipelines, looping forever with zero JavaScript (SMIL riding the edge paths).
Retrieval Augmented Generation
Retrieval Augmented Generation + Cache Augmented Generation
Tap print and paper feeds out of the card's mouth a line at a time, the card growing with it. The torn edge is cut, not drawn, so the notches show the shell through them — top only while the roll is still feeding, both edges once the job ends — and the line under the print head stays grey until the next one prints.
Tap print to issue the receipt
A personal knowledge base drawn as a live signal field: twelve intake sources fan through capture and process lanes into ten shelves and eight outputs, ~200 connections carrying travelling light on a canvas. Hover an intake family and the field dims to only the signals it feeds.
Everything you save, on its way to something you ship.
A 90-year life as 4,680 cells — a column is a year, a row a week. Colour is the life stage: four solid bands meeting at 5 / 18 / 65, and dragging the age scrubber dissolves the frontier cell by cell, a wave with a grain on it, instead of wiping. A decade ruler reads the field without the scrubber; hovering a legend entry isolates its stage.
Each cell is one week · drag to set your age
The picker itself, hosted in a mock composer: a chip opens a popover whose track has two forms — a plain rail with stop dots for the normal levels, and the reveal at the top stop, where the whole rail turns into a shimmering dot matrix and the name rolls to accent.
Type / for commands…
An assistant's history threaded on one curved rail: hovering a row moves the lit head to it, a comet tail lights the segment behind the direction of travel, and Day / Week / Month regroups the same pool while the rail re-threads around the new markers.
A live agent-run feed: a new row streams in every ~1.6s with a motion enter, the list caps and drops the oldest, Pause freezes the stream, and an Errors filter isolates retries and tool errors.
run_7c1e · 14:32:18
1.4s
12.4k tok
run_2a90 · 14:32:14
340ms
2.1k tok
run_9f03 · 14:32:09
4.8s
38.9k tok
run_11b7 · 14:32:03
2.1s
18.7k tok
run_4d6c · 14:31:57
780ms
5.4k tok
run_08a2 · 14:31:50
1.6s
9.8k tok
run_63f1 · 14:31:44
3.0s
24.5k tok
run_5e7d · 14:31:39
210ms
1.3k tok
Token usage across models: one stacked share bar over a sorted legend, hovering either cross-highlights the matching segment and dims the rest, and the six shares always sum to 100%.
The most-called tools ranked: usage bars scaled to the leader, p95 latency and an error rate that earns amber then red, and a Calls / p95 / Err sort toggle that re-orders the rows with a layout animation.
TOP TOOLS
A monitoring rule set: each row pairs a condition with a severity and a live toggle; the segmented filter narrows by severity with a layout animation, firing rules pulse, and disabling one drops it from the footer's live count.
8 of 10 enabled
Success rate dropped
success_rate < 95% over 5m
2m ago
last fired
Latency p95 elevated
p95_latency > 5s over 10m
14m ago
last fired
Token spend spike
spend_rate > $200/hr
58m ago
last fired
Tool error rate
tool_errors / runs > 2%
4h ago
last fired
Timeout cluster
timeouts > 10 in 5m
3h ago
last fired
Eval regression
eval_score < baseline − 0.05
5h ago
last fired
Loop detection
same_tool_calls > 8 in run
18h ago
last fired
Budget at 90%
monthly_spend / budget > 0.9
—
never
Cold start spike
p50_cold_start > 3s
3w ago
last fired
Schema drift
tool_schema_hash changed
—
never
A live incident feed: the featured incident plots a metric breaching its threshold with a dashed reference line and a now-dot; clicking a row promotes it with a crossfade + redraw, Acknowledge resolves it in place, and the filter isolates the open ones.
6 in 24h · 4 open
on research-agent-v2
Success rate fell to 87.4% over the last 5 minutes.
The month's agent spend day by day, stacked by cost category with a ghosted run-rate projection past the today divider; a legend toggle drops a category and the stack and count-up headline re-settle to what's visible.
Month to date · 13 of 31 days
Spend · MTD
$0
Spend across models, derived from the Model split tokens × a price table; a Cost / Tokens toggle re-sorts and re-scales the bars with a layout animation to expose the divergence — a premium model leads on cost while the cheap workhorse leads on tokens.
$5,775 · month to date
orion-2.5-pro — 11% of tokens, 37% of spend. Price, not volume, drives the bill.
Month-to-date spend against the cap with a run-rate projection: the meter's solid fill is spent, the ghost projects to end of month, and the slice past the budget line turns amber; a 90% mark shows where the budget alert watches.
$12,000 cap · resets in 18 days
$0
spent of $12,000
Projected
$13.8K
115% · over
Run rate
$444/d
≤ $346/d to fit
Days left
18
in cycle
A line chart whose slider re-renders the curve live: dragging the point count rescales the x-axis to [0, N] and reveals more of a damped cosine, from the opening arc to the whole decaying wave — the million points sampled for display, as the source does server-side.
A portfolio-planning scatter that maps eight asset classes and two portfolios on risk vs expected return, linked to a sectioned table: hover a row and its dot spotlights while the rest dim; the proposed mix wears the accent halo, the current mix stays neutral.
Asset classes
Portfolios
Model assumptions · monthly data · not a forecast
Two rolling 1-year return histograms — neutral current vs accent proposed — with legend chips that toggle each series, count-up delta headlines, and a mono stats grid (skewness, kurtosis, worst/best 12-month) computed from the same bins the bars draw.
Return (annualized mean)
+0.00pt
Risk (stddev)
+0.00pt
Skewness
Kurtosis (excess)
Worst 12-mo
Best 12-mo
Samples 2,267 / 2,269
Past performance ≠ future
Four KPIs — return, risk, Sharpe, max drawdown — flattened into one divided row. An Expected/Actual toggle (plus a period select under Actual) recomputes every metric; each headline re-tweens to its new value while the current/delta sub-line crossfades. Sharpe is derived so it reconciles; drawdown is realized-only.
Return (avg annual)
0.00%
Cur 3.20%+3.60%
Risk (stddev)
0.00%
Cur 6.40%+5.20%
Sharpe ratio
0.00
Cur 0.42+0.12
Max drawdown
— (actual only)
Cur —
Expected values from asset-class assumptions.
Current portfolio → Proposed 70/30 · headline = proposed
The overview half of the allocation pair: two donuts (current vs proposed) with growth/defensive center splits, and a class-level compare table between them. Parent weights sum from their subclasses and both mixes total 100%; the line-by-line move lives on the allocation detail card.
Current mix
Growth / Defensive
Proposed mix
Growth / Defensive
Class weights · subclass detail on the allocation detail card
The line-by-line half: every class and subclass with its current and proposed weight, and a diverging bar that grows from the zero line for the move — right = trimmed, left = added. Headlined by the turnover the diffs imply (they cancel, so the trimmed side is the whole reallocation) and the two classes at either end of it.
Breakdown · class / subclass
Diff = current − proposed · right = trimmed, left = added
An asset-class correlation table that rethinks the reference's confusing red/green scale: it diverges on hue with a neutral middle (amber negative, grey ≈0, blue positive) and lets |r| drive the shade. Hovering any cell crosshairs its whole row and column and dims the rest; the 10Y / 1Y toggle swaps the window and a readout calls out the strongest and most-diversifying pairs.
Trailing return correlations · 10-year window
A plant instrument card: a Thermal / Hydro / Storage toggle re-tweens the gross-output headline and slides three single-tone parameter meters, over a diverging grid-stability gauge. Elevates a reference that tinted every bar with a decorative rainbow gradient — here colour is earned (status hues, one fixed hue per fuel).
3 of 4 units synced to the grid
Thermal subsystem · live telemetry
A generation-mix card: a renewable-vs-fossil split bar, four renewable sources each on one fixed category hue with a share meter, and a 24-hour generation histogram. The Live / 7-day toggle re-tweens every figure; shares of renewable output sum to 100%.
Live snapshot · shares of renewable output