Live Demos

Working software.
Not slide decks.

Every demo here is production-grade code running on real infrastructure. The same systems we build for clients — auth, data pipelines, media analytics, AI tooling — running live so you can see how they actually behave.

Live Now

See how the analytics actually work.

Linear Analytics Dashboard
$4.82Blended CPP↑ 34% over benchmark
$127Blended CAC↑ 2.1× target
14Stations tracked3 flagged
CPP vs Benchmark — by Daypart
Early Morning
$2.10
Daytime
$5.90
Prime
$6.40
Late News
$3.20
Late Fringe
$1.85
Station Attribution — Q1 2026
StationCPRMarket AvgVerdict
WXYZ Ch4$48$71+32% eff.
WABC Ch7$124$71Cut
WCBS Ch2$67$71Hold
WNBC Ch4$98$71−38% eff.
WTTG Fox5$39$71Scale
Linear Media Analytics

You're overpaying for TV.
This proves it.

Most TV buyers run on relationships, instinct, and whatever the rep tells them. We built a platform that replaces that with independent CPP benchmarks, real attribution at the station level, and a blended CAC number that holds up to scrutiny.

It connects to your actual buying data — traffic logs, spot schedules, call center response — and tells you exactly which stations are earning their spend and which ones are extracting it from you.

$2.4MMedian annual overspend identified in initial audit
18–30%CPP reduction within the first two buying cycles
3–5×CAC improvement by cutting bottom-performing stations
Linear TVCTVCPP BenchmarkAttributionCAC
Open TV Demo ↗ Send Your Data →
Live Now

Content that actually ranks.

Bloggen.ai

SEO without the agency.
Or the bullshit.

SEO agencies charge a retainer to tell you to "produce more content" and stuff keywords into paragraphs that no human wants to read. Then they bill you for a ranking report six months later. The content was garbage. Nothing ranked.

Bloggen.ai starts from search intent, builds a structured brief, drafts content that answers the actual question, and publishes directly to your Jamstack stack. No agency, no retainer, no six-month lag.

10×Content output vs. traditional agency retainer
6 wksAverage time to first-page ranking for long-tail targets
0Keyword-stuffed paragraphs. Structures are built for search intent, not bots.
SEOLLMContent PipelineJamstackProgrammatic
Open Bloggen.ai Demo ↗ Replace Your Agency →
Brief Builder — Step 1 of 3
Target Querybest CRM for HVAC companies 2026
Search IntentCommercial Investigation
Word Count Target1,400 – 1,800 words
Competing Pages8 analyzed
Recommended Structure
H2 What HVAC teams actually need from a CRM
H3 Dispatch scheduling integration
H3 Seasonal demand forecasting
H2 Top picks — compared honestly
H3 ServiceTitan vs. Jobber vs. HubSpot
H2 What to avoid (and why agencies recommend it anyway)
Draft Analysis
Semantic Coverage
88
Readability
92
Keyword Density
Natural
Agency Nonsense
0%
StatusReady to Publish
Live Now

Your call center is a brand liability. We built the triage system.

Live Call Queue — 47 active
CallAgentDur.LangRisk
CC-4821R. Torres04:32ESCritical
CC-4819S. Ahmed11:18ENElevated
CC-4815M. Johnson02:04ENClear
CC-4812P. Nguyen07:45VIElevated
CC-4809T. Davis15:22ENClear
AI Risk Assessment — CC-4821
94/100Critical
LanguageSpanish (auto-detected, live translation active)
Live Transcript (translated)
“…they told me my coverage included that medication but now they’re telling me it doesn’t. I have documentation that says…”
Coverage disputePotential mis-sellEscalation likely
Recommended ActionSupervisor Transfer
RAG ReferencePlan Benefit Doc § 4.2 — Formulary Coverage Rules
Call Center Intelligence

Managers were flying blind.
We gave them a control tower.

A Medicaid/Medicare insurer. Dozens of agents. Five separate systems with no shared truth. Calls in three languages. Managers with no way to know which conversations were turning into compliance problems, complaints, or lawsuits until it was too late.

We pulled data from every system, cleaned it, merged it into a single real-time database, and built a frontline operations layer on top of it: consistent call processes, a RAG knowledge base agents could query mid-call, and an AI engine that transcribes, translates, and risk-scores every conversation as it happens. For the first time, managers could see which calls needed intervention before the call ended.

100%Of calls transcribed, translated, and risk-scored in real time
<90sAverage manager response time on Critical-flagged calls
5 systemsMerged into one real-time operational database with zero manual reconciliation
AI / LLMRAGReal-timeCall CenterData UnificationCompliance
Talk About Your Operations →
Live Now

Auth that your engineers won't hate.

SSO & Identity

Full OAuth 2.0 code flow.
Grant-based access control.
Running live.

Most auth implementations are bolted on. A third-party widget, a session cookie, and a prayer. When something breaks — a token expires, a user needs their access revoked mid-session, a new client needs scoped permissions — there's nothing to pull.

This is a full OAuth 2.0 authorization code flow with Cognito user pools, device session tracking, and a grant system that lets you issue, scope, time-limit, and revoke access for any user or client — without touching code. Click through the demo. Sign in. Watch the grants flip. See the JWT. It all works.

JWTFull token inspection — claims, expiry, scopes — visible in the demo
RBACRole and grant-based access flips in real time without a redeploy
0 boltsFirst-class auth — not a widget, not a cookie hack, not a workaround
OAuth 2.0CognitoRBACJWTDevice Sessions
Try the Auth Flow → Talk Auth Architecture
Active Session — jmarshall@jmus.io
Authenticatedexpires in 47m 12s
suba3f9c1d2-8b4e-4f7a...
emailjmarshall@jmus.io
scopeopenid profile email
device_iddev_88f2a...
token_useaccess
Active Grants — jmarshall@jmus.io
ResourceLevelExpiresStatus
admin:userswriteActive
blog:postswriteActive
analytics:readreadMar 15Active
reports:exportreadMar 5Expiring
billing:writewriteRevoked
Device Sessions3 active  ·  1 expired
In Development

What's being built right now.

These aren't vaporware mockups. They're projects in active development that will go live on this page when they're ready.

Want to see one of these running in your stack?

Everything here was built to solve a real problem. If one of them maps to yours, let's talk.

Get in Touch How We Build