🎮 The Next Input — Issue #085

In partnership with

⚡ The Briefing — 60 sec

• Apple nears a $1B annual deal with Google to power the new Siri. The billions just don’t stop. It’s starting to feel like monopoly money.

• Saudi Arabia’s $1 trillion AI gamble aims to turn oil wealth into data dominance. From oil rigs to data centers—the desert’s about to get a whole lot smarter.

• Australians voice their AI concerns in national survey. Real thoughts from real people. Not everyone’s convinced this wave will end well.

🛠️ The Playbook — National AI Pulseboard: The Sentiment Intelligence Engine

Mission Build a real-time system to track public sentiment, media narratives, and policy trends about AI—locally or globally.
Difficulty Advanced | Build time 4–6 hours (pilot)
ROI Gives companies, policymakers, or research teams live visibility into how AI perception evolves—so you can anticipate adoption shifts before they hit the market.

0) Why This Matters

While governments invest billions and corporations make trillion-dollar plays, public trust will decide AI’s fate.
The “AI Pulseboard” transforms unstructured social, media, and survey data into an insight engine—tracking how sentiment, fear, and enthusiasm fluctuate over time.

If Saudi’s building data empires and Apple’s cutting billion-dollar deals, this lets you monitor how everyday people feel about it all.

1) Architecture

2) Workflow

1. Collect & Normalize

   • Pull the top 500 articles, tweets, and comments daily via APIs.

2. Sentiment Analysis

   • Claude 4.5 Sonnet scores tone per entry:
     {sentiment: "positive", confidence: 0.92, keywords: ["innovation", "ethics"]}.

3. Topic Classification

   • GPT-5-mini tags by domain (“education”, “healthcare”, “workforce”, etc.).

4. Memory Storage

   • Supabase logs entries by date + source + region.

5. Dashboarding

   • Charts track overall AI optimism, trust levels, and regional differences.

6. Alerts & Insights

   • Slack bot pings: “⚠️ Spike in privacy concerns after new government report.”

3) Example Prompts

Sentiment Analyzer (Claude 4.5 Sonnet)

SYSTEM: You are a public sentiment analyst.
INPUT: {headline_or_comment_text}
TASK:
1. Classify sentiment as: positive, neutral, or negative.
2. Assign confidence (0.0–1.0).
3. Identify 3 keywords that best describe topic context.
Return JSON: {sentiment, confidence, keywords}.

Theme Classifier (GPT-5-mini)

SYSTEM: You are a policy data scientist.
INPUT: {headline_text}
TASK: Classify each text into one of:
["Ethics", "Jobs", "Privacy", "Innovation", "Governance", "Education"]
Return JSON: {category, rationale}.

4) Guardrails

• Bias Control: Mix multiple models’ results (Claude + GPT) for balance.

• Privacy: Don’t scrape private social content—stick to public posts or surveys.

• Localization: Ensure news weighting reflects population, not post volume.

• Transparency: Make dashboards public where possible—trust builds trust.

5) Pilot Rollout — 4 Hours

1. Pull data from Reddit + major AU outlets using NewsCatcher API.

2. Run 500 entries through Claude 4.5 Sonnet for sentiment.

3. Classify via GPT-5-mini.

4. Store results in Supabase.

5. Visualize in Looker Studio → share with leadership or policy stakeholders.

6) Metrics

• Sentiment ratio (positive : negative).

• Volume of concern per topic (Ethics, Jobs, Privacy).

• Frequency of new narratives (how fast stories evolve).

• Correlation between media tone and public sentiment.

🎯 The Arsenal — Tools & Prompts

Summarize this week’s sentiment analysis:
- % positive, neutral, negative
- Top 3 trending concerns
- Notable regional differences
Output in Slack-ready markdown with one chart suggestion.

💡 Free Office Hours

Want to track real-time public trust in AI like a news outlet or policymaker?
Book a free 15-minute Office Hours slot—no sales pitch, just workflows solved.

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

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🕹️ Game Over

Spin up your AI Pulseboard today—by next week, you’ll know what the public really thinks of the machines we’re building.
Share your win; you could headline Issue #086.

— Aaron
Automating the boring. Amplifying the brilliant.

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