How to turn your skills into an AI Agent to create an AI product strategy
Cut weeks of manual analysis and turn it into hours by controlling ChatGPT, Claude, Gemini, and Perplexity like a pro, and make clients say ‘Yes’.
Most product teams have insights.
By the time anyone attempts to pull them together into an actionable AI product strategy, the market has shifted, the C-suite priorities have changed, or the data is already outdated.
It’s where roadmaps stall, use cases get cut, and budgets fade.
The fix?
It isn’t chasing the “best” LLM platform; it’s a meta-prompt that accelerates decisions.
If you’re an AI product leader, business strategist, or change agent driving workforce transformation…
…this one’s for you.
Why insights break down for AI product strategy
If you’ve ever sat on a goldmine of data and market research to help define an AI strategy, and then tried to use LLMs with simple prompting to speed up analysis, you’ll know the pain I’m about to refer to:
No operationalisation: Insights get trapped in decks and docs, and each project starts from scratch, losing the advantage of accumulated knowledge.
LLM platform chaos: ChatGPT, Claude, Gemini, Perplexity. Different teams use various platforms, resulting in fragmentation and tool sprawl.
Weak data discipline: Garbage in, Garbage out. Poor inputs and inconsistent data governance undermine strategy quality.
Speed over structure: A “tool-first” mentality produces insights that don’t align with real business needs. Teams skip structured market validation.
Misalignment between AI potential and business readiness: Stakeholders understand the promise of AI but lack the operational maturity to effectively integrate insights into their strategy, failing to take revenue-driving actions.
Eventually, you watch those insights fade into a backlog graveyard.
That’s why most AI product strategies fail, and product roadmaps resemble “Field of Dreams” client projects — build it and pray.
The $20 / month Meta-Prompt: Turn any LLM into a High-Value Market Insight application
To bridge the gap between rich insights and an AI product strategy that drives adoption, revenues, and buy-in, there’s a more innovative and effective way.
I’ve built what’s essentially a Market Insight Analyst inside a meta-prompt.
“Which is best for this - ChatGPT, Claude, Gemini, or Perplexity?”
The truth?
It doesn’t matter.
This isn’t about making any of these platforms answer better.
It’s about:
Executing my decision frameworks automatically.
Applying guardrails for governance, security, and IP protection.
Producing AI roadmap-ready outputs that stand up to C-Suite scrutiny.
The result?
Weeks of manual analysis compressed into hours.
And the best bit?
It runs on ChatGPT, Claude, Gemini, or Perplexity for the price of a single monthly subscription.
Meet the Marketing-Insight Analyst Meta-Prompt
You wouldn’t design a website without first understanding the problem it solves and mapping the user journey.
The Marketing Insight Analyst Meta-Prompt is designed using similar approaches.