🎮 The Next Input — Issue #151

In partnership with

⚡ The Briefing — 60 sec

• Disney exits $1 billion OpenAI deal following Sora AI video app shutdown Bye bye Mickey. Or Sora for that matter. Does SquareEnix own Sora or Disney? Loop on loop on loop.

• Anthropic hands Claude Code more control, but keeps it on a leash Claude is watching cat videos on my computer RIGHT NOW. More control is cool right up until your AI coding assistant starts acting a little too comfortable in your machine.

• Apple Readies Introduction of AI Agent-Like Siri Apple is finally joining the party. Siri might finally stop being the assistant you forget exists and start becoming Apple’s actual answer to the agent race.

🛠️ The Playbook — The AI Access Control Engine

Mission
Give AI tools enough access to be useful without letting them roam your systems like they pay rent.

Difficulty
Intermediate

Build time
3–5 hours

ROI
Better automation, fewer security headaches, and a much cleaner path from “interesting demo” to “trusted workflow.”

0) Why This Matters

Three things are happening at once.

First, flashy AI products can disappear or change course fast. If a billion-dollar partnership can unravel because one product gets shelved, that should tell you how fragile some of these “strategic” bets really are.

Second, coding agents are getting more hands-on. Claude Code getting more control is useful, but it also sharpens the old question: how much freedom does this thing actually need?

Third, Apple joining the agent party means this is not just a niche developer story anymore. Agent-like behaviour is moving into the mainstream consumer stack.

That means the real job now is not just adopting AI.

It is deciding:

• what the tool can access

• what it can do by itself

• what still needs approval

• what happens if the product changes, disappears, or gets weird

1) Architecture

2) Workflow

1. List every AI tool your team is using and what systems it can currently access.

2. Classify each workflow as assist-only, approval-required, or limited autonomy.

3. Put anything action-taking into a sandbox before it touches live environments.

4. Add human approval for customer-facing, financial, legal, or production-adjacent actions.

5. Track vendor dependency and product volatility alongside normal workflow metrics.

6. Increase access only after the workflow proves it can behave.

3) Example Prompts

Access Scope Prompt

You are reviewing an AI workflow before broader rollout.

For the workflow below, identify:
- what systems the AI needs access to
- what permissions are excessive
- what should remain sandboxed
- where human approval is required
- the top 5 risks

Workflow:
[insert workflow here]

Autonomy Prompt

You are classifying workflow steps by control level.

For each step, label it as:
- assist only
- human approval required
- limited autonomy allowed

Then explain:
- why it belongs there
- what could go wrong
- what safeguard is required

Vendor Risk Prompt

You are assessing vendor dependency risk.

For the product below, identify:
- what breaks if the feature is shut down
- what workflows depend on it
- what fallback should exist
- whether the team is too dependent on one vendor

Product:
[insert product]

Human Review Prompt

Prepare a concise review brief for a human approver.

Include:
- requested action
- systems affected
- level of risk
- why review is needed
- approve / reject options

Keep it short and operational.

4) Guardrails

• Never give an AI tool live production access on day one.

• Treat sandboxing as mandatory, not optional.

• Keep humans in the loop for anything high-impact.

• Assume vendors can change direction fast.

• Track permission creep just like you track cost creep.

• Build fallback options before a tool becomes mission-critical.

5) Pilot Rollout — 3 hours

1. Pick one AI workflow that already saves time but feels slightly too loose.

2. Map every app, file, and system it can access today.

3. Rebuild the workflow into three levels: assist, approve, autonomous.

4. Move all autonomous behaviour into a sandboxed environment.

5. Run 10–15 real examples and record where humans had to intervene.

6. Tighten permissions before expanding the workflow any further.

6) Metrics

• Number of workflows classified by control level

• Percentage of AI actions requiring approval

• Override rate on semi-autonomous tasks

• Time saved per controlled workflow

• Vendor dependency score

• Permission creep incidents

• Number of fallback paths in place

Pro Tip: The problem is rarely that the AI is smart. The problem is usually that someone gave it access before it had earned trust.

🎯 The Arsenal — Tools & Platforms

• Claude Code · increasingly capable coding assistant with tighter control options · TechCrunch

• LangGraph · orchestration layer for separating assist, approval, and autonomous steps · LangGraph

• Airtable · simple tracker for workflows, permissions, and vendor risk · Airtable

• Apple Intelligence / Siri · one to watch as Apple shifts Siri toward more agent-like behavior · PYMNTS

• Sandbox environments · boring but essential when AI tools start getting adventurous · Docker

Copy-paste prompt block:

You are helping me design an AI Access Control Engine.

For the workflow below:
1. identify every system the AI touches
2. classify each step as assist-only, approval-required, or limited-autonomy
3. identify what must remain sandboxed
4. identify where human approval is mandatory
5. identify the top 5 vendor-dependence risks
6. propose a fallback plan if the tool is shut down or changed
7. design a 2-week pilot

Workflow:
[insert workflow here]

Return the answer in markdown with sections for:
- Workflow summary
- Access map
- Control levels
- Sandbox rules
- Human approval points
- Vendor risks
- Fallback plan
- Metrics

💡 Free Office Hours

If you are trying to use AI tools with more power and less chaos, I run free office hours to help map the workflow, permissions, and control layer before things get weird.

Book here: https://calendly.com

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🕹️ Game Over

The next AI flex is not more power. It is knowing exactly how much leash to hand over.

— Aaron Automating the boring. Amplifying the brilliant.

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