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Platform prototype · local-first data

Prove the platform before you build the backend.

NexusAI is a high-fidelity AI operations console — dashboard, agents, jobs, chat, evaluations, and a visual orchestrator — running on client-side SQLite. Credible operator workflows first; backend investment second.

Surfaces
15+ operator views
Data
sql.js · in-browser
Orchestrator
Visual node canvas
Cloud path
Optional Supabase sync
platform overview · all systems operational LIVE
DASHBOARD — KEY SIGNALS
RUNS TODAY
1,847
+12%
SUCCESS RATE
97.3%
+0.4%
AVG LATENCY
284ms
-18ms
TOKENS (24H)
4.2M
+8%
workflow8 nodes · 7 edges · valid
model usage4 providers, one donut
persistencebrowser sqlite · exportable
01 · The premature-backend trap

Platform ideas die in
slide decks or in over-builds.

Between a Figma mock and a six-month backend build there's a missing artifact: a console real enough to test the information architecture, the workflows, and the story — without pretending to be production.

01
Slides don't operate

Static mocks can't answer whether the jobs view works when there are forty jobs.

02
Backends are bets

Building real infrastructure to validate UX is the most expensive way to learn you were wrong.

03
Demos without state

Hardcoded demo data breaks the moment someone clicks something unscripted.

04
No migration story

Prototypes that can't grow into the real thing get thrown away with everything learned.

02 · Fidelity with honesty

A working console
on an in-browser database.

NexusAI runs the whole operator experience on sql.js — real state, real CRUD, real navigation — with an optional Supabase path when the concept graduates. It demonstrates platform thinking without faking a production backend.

A.
Complete operator IA

Build, Observe, Manage: prompts, skills, stacks, agents, models, dashboard, chat, jobs, evaluations, artifacts, logs, integrations, datasets, knowledge, memory.

B.
Real state, zero servers

Client-side SQLite means every view works with live data — created, edited, persisted in the browser.

C.
Visual orchestration

A node canvas with triggers, agents, conditions, and document-processing nodes — workflows validate before they run.

D.
A graduation path

Optional Supabase sync sketches the mock-to-cloud migration — the prototype is a stepping stone, not a dead end.

— BEFORE
figma walkthrough →
"imagine this works" →
build the backend →
6 months to find out
— WITH NEXUSAI
working console →
real flows, real state →
IA validated by use →
then invest in backend
STATESQL.JS · IN-BROWSER
WORKFLOWSVALIDATED NODE CANVAS
MIGRATIONMOCK → SUPABASE PATH
03 · The approach

Concept to conviction,
in six steps.

The prototype is the argument: every operator surface either earns its place by being used, or gets cut before it costs backend time.

FRAME
IA

Lay out the full information architecture first.

BUILD
Surfaces

Every view working, not mocked — 15+ operator screens.

WIRE
State

sql.js persistence so flows behave like a product.

COMPOSE
Orchestrate

Node canvas for workflows — triggers, agents, conditions.

EXERCISE
Operate

Run the console like an operator; let the UX fail early.

GRADUATE
Migrate

Supabase sync path when the concept earns real infra.

04 · The console

Real screens.
Real state.

Not a click-through mock — a running console with live client-side data: dashboard, the orchestrator canvas, chat, and jobs.

nexusai · /dashboard
NexusAI dashboard — platform KPIs, capabilities, runs over time, model usage
Dashboard — runs, success rate, latency, token usage, and model mix.
nexusai · /orchestrator
NexusAI orchestrator — visual workflow canvas with trigger, tool, agent, and condition nodes
Orchestrator — a validated 8-node workflow on the canvas, with a full node palette.
nexusai · /chat
NexusAI chat — agent conversation surface
Chat — the agent conversation surface.
nexusai · /jobs
NexusAI jobs — background job management view
Jobs — background work as a first-class operator view.
05 · Positioning
NexusAI is platform thinking made tangible — not a slide deck, not a hardcoded demo, not a premature backend.

It is how an AI operations platform earns the right to be built: by working as a console first.
BUILT FOR · product validation
OPTIMIZED FOR · operator UX truth
PROVES OUT · IA → flows → migration path