Core Insight: It's not that AI isn't strong enough — it's that you don't know how to "hire" it. AI needs a job description — to tell it who it is, what it should do, and what qualifies as acceptable work.
Don't Blame AI — You Don't Know How to "Recruit" It
Traditional Approach: Handing Out Flyers to AI
"Help me write a proposal."
"Make me a PPT."
"Analyze this data."
Do you expect AI to read your entire background, industry experience, aesthetic preferences, and your boss's taste from a single sentence?
AI isn't a mind reader. What it needs is — a job description.
A Product Idea Overlooked by Everyone
AI Job Standards Hub is trying to package \"role standards\" into downloadable \"capability packs\":
Role Definition
Tell AI what its job is
Operating Rules
Tell AI what it can't touch
Workflow
Tell AI how to do each step
Output Standards
Tell AI what the deliverable looks like
It doesn't start working after you give it information. It's already prepared before "onboarding."
Why This Approach Is Smart
Layer 1: Lowering the Barrier to Using AI
Most employees can't use AI well because they don't know how to write prompts. But if AI already knows it's a \"product manager,\" you don't need to understand prompting. You just need to speak normally.
Layer 2: Making Knowledge Truly Reusable
The users of role standard packs are AI, not humans. When knowledge consumers change from humans to machines, friction disappears instantly. A good standard pack can be replicated ten thousand times, turning a company's decade of accumulated \"methodology\" into a truly reusable asset.
Layer 3: Redefining Human-AI Division of Labor
Hand the execution layer entirely to AI. Humans only make judgments and decisions. Humans shift from \"executors\" to \"managers.\" This means one manager can oversee more AI employees simultaneously.
But It's Not That Simple
Defining "standards" is itself a challenge
Different companies, different stages, different industries — the answers may be completely different
Knowledge sourcing and ownership is a gray area
Where does the methodology in standard packs come from? Copyright issues need clarification
Highly customized scenarios are hard to cover
Healthcare, legal, finance — wrong judgments could have catastrophic consequences
Back to the Original Question
"What if AI doesn't work for me?"
Don't rush to buy accounts. First, figure out what you want AI to do. Is it your "senior advisor"? Or your "executive assistant"?
Before AI can "work with certification," you need to write it a job description first.