🎮 The Next Input — Issue #086

In partnership with

⚡ The Briefing — 60 sec

• Sora for Android sees nearly 500,000 installs on day one. Show someone a picture of Kingdom Hearts Sora and they’ll say “huh?” The app, though? Instant hit.

• Google’s Gemini 3.0 features leak ahead of launch. A little birdie says November 18th is the day—but who really knows?

• OpenAI reportedly prepping GPT-5.1, GPT-5.1 Reasoning, and GPT-5.1 Pro. And knowing OpenAI? The day Gemini drops, these will too. Coincidence? Never.

🛠️ The Playbook — AI Model Launch Tracker: The “Day-Zero” Monitor

Mission Build an automated system that tracks, analyzes, and benchmarks every major AI model release—so you know what’s dropping, how it performs, and what it means before everyone else.
Difficulty Advanced | Build time 3–5 hours (pilot)
ROI Cuts research time by ≈ 80%, and positions you (or your business) as the first to act on model upgrades or pricing shifts.

0) Why This Matters

Every week, a new model arrives promising “breakthrough reasoning” or “next-gen context.” If you’re not tracking, comparing, and adapting instantly, you’re falling behind.

The “Day-Zero Monitor” turns model chaos into clarity—a living dashboard that watches GitHub commits, release notes, pricing pages, and API responses in real time.

1) Architecture

2) Workflow

1. Scrape Sources

   • RSS + GitHub commits → detect new models or updates.

2. Extract Key Data

   • Claude 4.5 Haiku parses release notes into structured fields:
     {model_name, date, context_length, token_cost, latency_ms, reasoning_score}.

3. Benchmark Automatically

   • GPT-5-mini launches small test prompts across each model (math, summarization, reasoning).

4. Store + Compare

   • Supabase logs results; Looker updates leaderboard in real-time.

5. Alert + Report

   • Slack bot: “🚀 GPT-5.1 Pro now live — 20 % cheaper, 12 % faster than Gemini 3.0 in reasoning.”

3) Example Prompts

Release Parser Prompt — Claude 4.5 Haiku

SYSTEM: You are an AI analyst.
INPUT: {press_release_text}
TASK:
1. Extract version, provider, release date, model specs (context window, multimodal?, price).
2. Summarise 3 standout improvements vs previous version.
3. Rate confidence (0-1).
Return JSON: {model, release_date, specs, highlights, confidence}.

Benchmark Prompt — GPT-5-mini

SYSTEM: You are a model evaluator.
TASK: Test {model_name} across 3 domains:
- Math reasoning
- Code synthesis
- Creative writing
Return JSON:
{
 "model": "",
 "average_score": "",
 "latency_ms": "",
 "notes": ""
}

4) Guardrails

• Ethics: Respect API limits; never exploit private endpoints.

• Fairness: Use identical test prompts across models.

• Storage Hygiene: Archive benchmarks weekly, not indefinitely.

• Transparency: Label all data sources clearly—no speculation.

5) Pilot Rollout — 3 Hours

1. Create Supabase table with {model, version, release_date, cost, score}.

2. Pull feeds from Anthropic, OpenAI, Google, and Hugging Face.

3. Run daily scrape + benchmark job via Make.com.

4. Visualize with Looker leaderboard: “Top 10 Active Models.”

5. Share Slack digest every Monday.

6) Metrics

• Avg latency across models.

• Cost-per-1k-token change week-over-week.

• New model discovery rate.

• Benchmark delta (speed vs accuracy trade-offs).

🎯 The Arsenal — Tools & Prompts

Summarise this week’s model updates:
- Top 3 new releases
- Biggest price or speed improvements
- Notable regressions
Output markdown leaderboard for Slack.

💡 Free Office Hours

Want a “Day-Zero” AI tracker that spots model drops before Twitter does?
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

Shoppers are adding to cart for the holidays

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Read our guide to find out why growth marketers should make sure CTV is part of their 2026 media mix.

Learn more.

🕹️ Game Over

Deploy your Model Launch Tracker today—by next week, you’ll know which model wins the next AI arms race.
Share your win; you could headline Issue #087.

— Aaron
Automating the boring. Amplifying the brilliant.

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