01
What
does your team actually do, end to end
Map the real workflow before changing any of it.
The Conduit · v1.0 · May 2026
Two ways to ship
more content.
Have us do it,
or have us teach you.
ZUWP is a content production engine and an advisory consultancy for content teams in sports, prediction markets, and finance.
- Sports
- Prediction Markets
- Finance
◇ DIAGNOSE $7,500 · DESIGN $35–50K · OPERATE $8K/MO · PLATFORM QUOTED ON THE CALL · APPLY DIAGNOSE TOWARD DESIGN · MONEY BACK ON DIAGNOSE · QUOTE ON THE CALL, NOT AFTER · ◇ DIAGNOSE $7,500 · DESIGN $35–50K · OPERATE $8K/MO · PLATFORM QUOTED ON THE CALL · APPLY DIAGNOSE TOWARD DESIGN · MONEY BACK ON DIAGNOSE · QUOTE ON THE CALL, NOT AFTER ·
§ 02 — Diagnosis
Most content teams know they need to use AI better.
You bought the tools.
Output went up.
Quality didn't.
Editors spend more time cleaning AI output than they used to spend writing. Brand voice is drifting. The promised productivity dividend hasn't shown up on the P&L, and the board keeps asking why.
The diagnosis isn't that the tools are bad. It's that nobody redesigned the operating model. Bolting AI onto a content workflow built for human writers produces a content workflow built for human writers — with extra steps.
§ 03 — The shared way of working
Five people on your team. Six different AI tools.
The bottleneck isn’t access. It’s efficiency.
Every editor has their own prompts. Every writer has their own toolset. Brand voice drifts because nobody agreed on a shared way of working — there’s no SOP for how AI fits the way the team operates. ZUWP closes the gap by answering four questions, in your context, and operationalizing the answers into one process.
02
Why
did the AI investment stop compounding
Six tools, six workflows. Nothing builds on the last.
03
When
should AI handle a step, and when shouldn’t it
The judgment call you stop making once you’ve decided.
04
How
does this become one shared way of working
A standard operating procedure the whole team can run.
See how the Framework gets there →
No vendor referral fees. Recommendations are not pay-to-play.
§ 04 — The methodology
The ZUWP
Framework.
An AI-integrated content development methodology, tuned for long-form and short-form written content in sports, prediction markets, and finance.
See the full framework → FIG. 01 — STAGES SIX-STAGE METHODOLOGY
STAGE · 01
Audit
Current-state map of your content operation.
STAGE · 02
Standards
Editorial bar, voice, fact-check protocols.
STAGE · 03
Workflow
Where AI sits, where humans sit, where the seams are.
STAGE · 04
Tooling
Stack you keep, stack you swap, stack you skip.
STAGE · 05
Enablement
The team learns the new way of working.
STAGE · 06
Operate
Ongoing advisory while the framework runs.
§ 05 — Two paths into ZUWP
Pick the path that fits
your problem today.
PATH A · DONE-FOR-YOU
See the Platform →I need more content output.
The Platform produces it alongside your team.
- → Long-form and short-form, fact-checked
- → Built on your archive, voice, and data sources
- → You brief; ZUWP produces; you publish
- → Editorial review surfaced as audit trail
PRICING
Quoted on the call.
20-minute scoping call. Real number, not a follow-up email.
PATH B · DONE-WITH-YOU
See the Framework →I need my team to work AI-first.
The ZUWP Framework upgrades how they work.
- → Diagnose your operation. Map the gaps.
- → Design the AI-integrated workflow.
- → Operate alongside your team while it sticks.
- → Your team owns the work. We guide it.
PRICING
From $7,500.
Diagnose · Design · Operate. Apply Diagnose toward Design.
Both offerings stack. Most mature engagements use both.
§ 06 — The platform, end-to-end
One brief.
One daily prediction-market briefing.
The work, not the architecture. From brief at 06:00 to publish-ready at 08:14.
● Live trace · sample run
06:00 BRIEF Editor submits today's prediction-market focus: Kalshi 2026 nominee markets —
06:04 INGEST Live data: market prices · volume · 24h delta · top movers OK
06:11 DRAFT Long-form structure pulled from archive precedent. AI drafts §1–§4. 1,820w
06:38 FACT-CHECK Every numeric claim traced to source. Audit trail attached. 23 / 23
07:02 VOICE PASS Match against archive voice signatures. Adjustments flagged. 0.93
07:24 EDITOR REVIEW Senior editor — line edits, structural call on §3 14 min
07:51 COMPLIANCE Disclaimers, source attribution, market-status check PASS
08:14 READY Publishable to your CMS. Editor sign-off attached. SHIP
§ 07 — Engagement tiers
Published prices.
No discovery-call paywall.
Working values. Apply Diagnose toward Design if you continue. Money back on Diagnose if you don't see clear value.
TIER · DIAGNOSE
$7,500
fixed · 2–3 weeks
Current-state map of your content operation, framework gap analysis, prioritized roadmap. Readout deck + supporting artifacts.
- · Stakeholder interviews
- · Workflow + tooling audit
- · Framework gap analysis
- · Prioritized roadmap
TIER · DESIGN
$35–50K
fixed · 6–8 weeks
Framework implementation support. Workflow redesign, role definitions, tooling configuration, editorial standards, team enablement.
- · Workflow redesign
- · Role + RACI definitions
- · Tooling configuration
- · Team enablement
TIER · OPERATE
$8K/mo
retainer · 6-mo min · ongoing
Ongoing advisory + on-call editorial guidance after your team has the framework running.
- · Weekly office hours
- · Quarterly framework refresh
- · Tool-landscape briefings
- · On-call editorial
§ 08 — What you walk away with
Proof, before
the case study lands.
DIAGNOSTIC PDF · 24pp
Redacted current-state map.
A real engagement's output, with client names removed. The map your team would receive on Diagnose.
FRAMEWORK-IN-USE INTERACTIVE
Workflow diagram + content cards.
How a daily market-recap moves through the framework, stage by stage.
EDITOR'S DAY TIMELINE
Before / after, hour by hour.
What a senior editor's schedule looks like before and after the framework is in place.
§ 09 — The team in the seat gets stronger
We do not replace your team.
Your editor's judgment goes up, not down.
AI handles the drudge. The editor spends their time on the highest-leverage work. Editorial standard rises.
BEFORE · TODAY Cleanup mode
08:00 Triage Slack threads about yesterday's draft errors
09:30 Rewrite AI draft from §1 because brand voice is off
11:00 Hunt for source for an unsourced claim
13:00 Re-fact-check numbers that came back wrong
15:00 Push next day's brief to writers — late again
17:30 Weekly editorial standards memo (skipped this week)
AFTER · WITH FRAMEWORK Editor mode
08:00 Open the morning queue. 6 drafts, audit-trailed.
09:30 Senior judgment call on §3 of the prediction-market piece
11:00 Voice-tune two short-form pieces. Approve.
13:00 Working session on next quarter's editorial standards
15:00 Briefs for tomorrow are already drafted. Review.
17:30 Done. The work is on time, on standard.
§ 10 — Built for data-velocity content
Three verticals.
Same editorial bar.
VERTICAL · 01
Sports
Sportsbooks · betting media · tout services · sports publishers
Live data, perishable content, brand-safety stakes. Where the framework was forged.
→ /for/sports/
VERTICAL · 02
Prediction Markets
Kalshi-adjacent platforms · exchanges · market commentary publishers · decision-market analysts
Volatile data, narrow expertise, regulatory edges. Daily briefings are the unit.
→ /for/prediction-markets/
VERTICAL · 03
Finance
Financial publishers · fintech newsletters · brokerages · market-research arms
Editorial bar is highest, errors are most expensive, board pressure is heaviest.
→ /for/finance/
§ 11 — Standards & trust
Editorial-grade.
Auditable.
Defensible.
What every CMO in finance and prediction markets needs a real answer to before they sign anything.
01
Brand voice
Voice signatures lifted from your archive. Drift flagged before publish.
02
Fact-check audit trail
Every numeric and named claim traced to source. Auditable on every piece.
03
Editorial guardrails
Senior editor sign-off is non-optional. AI never publishes unattended.
04
IP & data handling
Your archive stays yours. No model training on your data. Output rights you own.
05
Compliance posture
Disclaimers, source attribution, market-status checks for finance and prediction.
06
Independence
No vendor referral fees. Recommendations are not pay-to-play.
§ 12 — The work, in market
Live samples from
our own properties.
atoic.com and PublicPicks.com are ZUWP's own publishing properties, both running on the platform. The content below is real and in market — judge us against it.
● PUBLICPICKS.COM PREDICTION
Sharp Money Floods MLB Overs and UFL Totals While Public Backs Favorites Across a 27-Game Slate
sourced · published 05.08.26
● PUBLICPICKS.COM SPORTS
Framber Valdez Dominates Early for Detroit While Boston Rolls the Dice with Morán
sourced · published 05.08.26
● ATOIC.COM FINANCE
Liberty Broadband Drops 23.53% While the Sector Watches
sourced · published 04.25.26
§ 13 — From the founder
“The teams that win in the next five years will integrate AI in a way that raises the editorial bar, not lowers it. The point isn't to replace the humans — it's to make their judgment the bottleneck, instead of their typing speed.”
§ 14 — Two doors
Have us do it.
Or have us
teach you.
No demo CTA. No self-serve. Quote on the call, not after.
§ 15 — Recent thinking
Recent insights from ZUWP.
INSIGHT May 2026
You don't have an AI tool problem. You have a level problem
Most content teams are operating two levels below what their tooling investment assumes. That gap, not the tooling, is what kills AI rollouts. Here's the ladder, and where you actually are on it.
INSIGHT Apr 2026
AI Hallucinates 18% of the Time. Your Readers Notice 100% of the Time
The rate of false claims generated by leading AI models on news-related prompts nearly doubled in a single year. 18% in August 2024. 35% by August 2025. Not edge cases or obscure technical queries. News. The exact category of content that media companies are racing to automate. The industry is speeding up while the accuracy […]
INSIGHT Dec 2025
How Over-Reliance on Generic AI Content Is Hurting Sports Media Brands
AI has made it easy to publish more content than ever. For sports media publishers under constant pressure to scale, that capability is tempting. Push a button, fill a content calendar, keep pace with competitors. The problem is not that AI is being used. The problem is how it is being used. Across sports media, […]