The Next Input — Issue #109

In partnership with

⚡ The Briefing — 60 sec

• OpenAI’s first consumer device is reportedly pen-shaped, launching 2026–27
  If it glides like an ace Mitsubishi Pen? I’m buying it. Hardware is back on the menu.

• French and Malaysian authorities investigate Grok over sexualised deepfakes
  …No comment.

• How will future generations view our use of AI?
  One word: SLOP.

🛠️ The Playbook — The Device-First AI Readiness Kit

Mission Prepare your product, workflows, and data for AI that lives in hardware—not tabs.
Difficulty Medium
Build time 2–3 hours
ROI Future-proofs UX and avoids scrambling when AI jumps from screens to objects.

0) Why This Matters

AI is leaving the browser.
Pens, cars, glasses, earbuds—when AI becomes physical, interaction models change overnight. Prompts shrink. Latency matters. Context becomes king.

This kit gets you ready before the pen hits the desk.

1) Architecture

2) Workflow

1. Identify one workflow that could move off-screen (notes, commands, capture).

2. Define micro-inputs (tap, hold, scribble, glance).

3. Run edge inference first; escalate to cloud only when needed.

4. Return micro-outputs (highlight, haptic, short audio).

5. Sync memory selectively—context in, data out.

6. Log failures and latency; tune thresholds.

3) Example Prompts

Edge Intent (GPT-5-mini)

Infer intent from a short, partial signal.
If confidence < 0.7, do nothing.
Return intent + confidence.

Cloud Assist (Claude 4.5 Sonnet)

Provide a minimal action or suggestion.
No explanations.
If unclear, ask one short question.

4) Guardrails

• Default to silence over guesses.

• Never capture continuously without explicit user action.

• Keep on-device safety checks mandatory.

• Make undo instant and obvious.

5) Pilot Rollout — 2 hours

1. Pick one task and map micro-inputs.

2. Prototype edge-first inference.

3. Add a single cloud fallback.

4. Test latency and false positives.

5. Ship to a small internal group.

6. Iterate on what users ignore.

6) Metrics

• Time-to-action (ms)

• False activation rate

• Edge vs cloud usage split

• Undo frequency

• Task completion delta

Pro Tip: If it needs a paragraph, it doesn’t belong on hardware.

🎯 The Arsenal — Tools & Platforms

• ONNX Runtime Mobile · Edge inference across devices · https://onnxruntime.ai

• Whisper.cpp · Low-latency on-device speech · https://github.com/ggerganov/whisper.cpp

• Tauri · Lightweight shells for hardware-adjacent apps · https://tauri.app

• OpenTelemetry · Latency and failure tracing · https://opentelemetry.io

Copy-paste prompt block:

Act like hardware.
Be fast, quiet, and reversible.
If unsure, do nothing.

💡 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

The Future of Shopping? AI + Actual Humans.

AI has changed how consumers shop by speeding up research. But one thing hasn’t changed: shoppers still trust people more than AI.

Levanta’s new Affiliate 3.0 Consumer Report reveals a major shift in how shoppers blend AI tools with human influence. Consumers use AI to explore options, but when it comes time to buy, they still turn to creators, communities, and real experiences to validate their decisions.

The data shows:

• Only 10% of shoppers buy through AI-recommended links

• 87% discover products through creators, blogs, or communities they trust

• Human sources like reviews and creators rank higher in trust than AI recommendations

The most effective brands are combining AI discovery with authentic human influence to drive measurable conversions.

Affiliate marketing isn’t being replaced by AI, it’s being amplified by it.

Download the full report to see what this means for your brand.

🕹️ Game Over

AI’s next interface isn’t louder—it’s closer.

— Aaron Automating the boring. Amplifying the brilliant.

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