🎮 The Next Input — Issue #117

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⚡ The Briefing — 60 sec

• ChatGPT users are about to get hit with targeted ads
  Maybe I should run ads here too. Next thing you know, you’re getting served that TV you definitely only “looked at once” 😅

• OpenAI and Anthropic are making their play for healthcare — and no one’s surprised
  First you want my data. Now you want my literal body. The funnel is getting very… intimate.

• Europe finalises AI security standards via ETSI
  Ads, health, regulation. The triangle is complete. Security is no longer optional—it’s table stakes.

🛠️ The Playbook — The Trust-First AI Stack

Mission Design AI systems that monetise, personalise, and operate in regulated domains without torching user trust.
Difficulty Advanced
Build time 3 hours
ROI Enables ads, health, and compliance without backlash or brand damage.

0) Why This Matters

Ads are coming. Healthcare is coming. Regulation is already here.
The mistake most teams make is treating these as separate problems. They’re not.

Users don’t care why you lost their trust—only that you did.
This stack keeps incentives aligned before things get weird.

1) Architecture

2) Workflow

1. User interaction is classified by domain (general, commercial, health, sensitive).

2. Claude 4.5 Haiku flags sensitive contexts immediately.

3. GPT-5-mini decides whether monetisation is allowed in-context.

4. If ads are permitted, they’re clearly labeled and optional.

5. Health-related interactions are strictly non-monetised.

6. All decisions are logged and explainable to the user.

3) Example Prompts

Domain Classification (Claude 4.5 Haiku)

Classify this interaction:
- general
- commercial
- health
- sensitive
If health or sensitive, prohibit monetisation.

Monetisation Gate (GPT-5-mini)

Given the domain and user context,
decide if an ad or suggestion is appropriate.
Return: allow / deny with reason.

4) Guardrails

• No ads in health or crisis contexts. Ever.

• Clear separation between assistance and monetisation logic.

• User-facing explanations must be available.

• Security controls must meet or exceed ETSI standards.

5) Pilot Rollout — 3 hours

1. Map all user interaction domains.

2. Implement sensitive-domain detection.

3. Hard-block monetisation in protected contexts.

4. Test ad insertion only in low-risk flows.

5. Add “Why am I seeing this?” transparency.

6. Run a trust review before scaling.

6) Metrics

• Ad acceptance vs dismissal rate

• Trust complaints per 1,000 users

• Monetisation blocked by safety gates

• Security audit pass rate

• User retention post-ad rollout

Pro Tip: The fastest way to kill LTV is being creepy once.

🎯 The Arsenal — Tools & Platforms

• Open Policy Agent · Enforce consent and monetisation rules · https://www.openpolicyagent.org

• ETSI AI Standards · Security and risk management baseline · https://www.etsi.org

• Segment · Clean event tracking with consent awareness · https://segment.com

• Amplitude · Measure trust signals and drop-off points · https://amplitude.com

Copy-paste prompt block:

Prioritise user trust over monetisation.
Block ads in sensitive contexts.
If there’s doubt, don’t ship.

💡 Free Office Hours

Want help implementing anything? Book a free 15-minute Office Hours slot—no sales pitch, just workflows solved.

→ https://calendly.com/aaron-cylentis/the-next-input-office-hours

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🕹️ Game Over

You can monetise AI—or you can keep users. The winners do both.

— Aaron Automating the boring. Amplifying the brilliant.

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