🎮 The Next Input — Issue #175

In partnership with

⚡ The Briefing — 60 sec

• Apple plans to make iOS 27 a “choose your own adventure” of AI models “Choose your own adventure” for AI routing is extremely 90s-coded and honestly… probably where this all ends up anyway. Different models for different moods, tasks, and risk tolerances.

• OpenAI launches ChatGPT 5.5 Instant Poof. It’s here before your very eyes. The real story now isn’t just model quality — it’s deciding when speed beats depth.

• AI-enabled smart grids are accelerating the green energy transition We love to see it. Quietly, AI is becoming less “chatbot” and more “invisible optimisation layer for civilisation.”

🛠️ The Playbook — Adaptive AI Routing Engine

Mission
Build a lightweight AI routing layer that automatically chooses the best model or workflow for each business task.

Difficulty
Intermediate

Build time
2–4 hours

ROI
Reduces AI costs, improves response quality, and stops teams using a sledgehammer for every nail.

0) Why This Matters

The future probably isn’t one giant model doing everything perfectly.

It’s orchestration.

Fast models for triage. Deep models for strategy. Local models for privacy. Specialist agents for structured work. Businesses that learn routing early will outperform businesses still manually copy-pasting prompts between tabs.

1) Architecture

2) Workflow

1. User submits a task through Teams, Telegram, or a web form.

2. Router classifies the request by complexity, urgency, and risk.

3. Lightweight requests go to a fast model for rapid execution.

4. Strategic or ambiguous requests escalate to deeper reasoning models.

5. Retrieved company context is injected before generation.

6. Outputs above a defined risk threshold require human approval before release.

3) Example Prompts

Routing Classification Prompt

You are an AI routing layer.

Classify the incoming task according to:
- urgency
- complexity
- compliance risk
- creativity requirement
- factual grounding requirement

Then recommend:
- fastest acceptable model
- highest quality model
- whether retrieval is required
- whether human approval is mandatory

Return JSON only.

Executive Summary Prompt

Summarise the following operational update for an executive audience.

Requirements:
- maximum 200 words
- identify risks
- identify blockers
- recommend next actions
- remove filler language
- preserve important metrics

Energy Optimisation Prompt

Analyse the following energy usage data.

Identify:
- unusual consumption spikes
- likely causes
- cost-saving opportunities
- operational inefficiencies
- actions with the highest ROI

Prioritise recommendations by implementation speed.

4) Guardrails

• Never allow autonomous financial approvals.

• Separate fast-response systems from strategic reasoning systems.

• Require citations for compliance or governance outputs.

• Log all prompts and outputs for auditability.

• Use retrieval grounding for company-specific questions.

• Escalate ambiguity to humans instead of forcing confidence.

5) Pilot Rollout — 3 hours

1. Pick three repetitive workflows currently wasting staff time.

2. Define routing rules for low, medium, and high-risk tasks.

3. Connect one fast model and one deep reasoning model.

4. Add retrieval against a small internal knowledge base.

5. Run 20 real-world prompts through the system.

6. Measure speed, quality, and staff satisfaction before scaling.

6) Metrics

• Average response latency

• AI cost per workflow

• Human approval rate

• Hallucination frequency

• Task completion speed

• Staff adoption rate

• Reduction in manual admin hours

Pro Tip: Most businesses don’t need a “super AI.” They need a traffic controller that knows when not to use one.

🎯 The Arsenal — Tools & Platforms

• OpenAI GPT-5.5 Instant · ultra-fast operational reasoning · Link

• Anthropic Claude · deep reasoning and long-context analysis · Link

• Pinecone Pinecone · vector retrieval and grounding · Link

• LangChain LangGraph · orchestration and agent routing · Link

• Airtable Airtable · lightweight approval workflows · Link

Copy-paste prompt block:

You are an AI orchestration architect.

Design a multi-model workflow for my business using:
- one fast AI model
- one deep reasoning model
- retrieval grounding
- human approval gates

The workflow must:
- reduce manual admin
- minimise hallucinations
- optimise cost
- define escalation paths
- include operational metrics

Return:
1. architecture
2. workflow
3. risks
4. implementation steps
5. recommended tooling

💡 Free Office Hours

Most businesses are still treating AI like a fancy chatbot instead of operational infrastructure. That gap is where the leverage is right now.

Book here: https://calendly.com

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🕹️ Game Over

The companies that win AI probably won’t have the biggest model.
They’ll have the best routing logic.

— Aaron Automating the boring. Amplifying the brilliant.

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