From Toolkit to Offer Stack
Using Ana’s Tool to Turn Responsibility Engineering into a Roadmap I Could Ship
Paid subscribers see the discipline while it’s still forming — before it’s polished into a framework. You’ll see decision briefs, pattern notes, and method refinements written while situations are still unfolding.
The Empathetic Agentic AI Lab exists for one reason:
Prevent agents from silently expanding beyond their job.
Toolkits make it operational. But properly packaging value makes it useful and scalable.
But, if you’re like me and don’t have a strong marketing or pricing background, you’ll end up with endless AI-generated proposals, strategies and plans that you don’t trust. Even after finishing my AI Product Marketing certification, I’m not confident I have developed enough taste and judgement to do this.
Ana Calin is the brilliant creator behind How We Grow who created a free AI tool called Ana’s Offer Stack, which generates a full 4-product ecosystem with psychological anchor pricing and you can iterate on the offer within the tool.
In this post, I’ll share how I leveraged Ana’s Offer Stack to iterate on my 4-product ecosystem so that it resonated with me and felt like something I could use for my roadmap.
The Slight Crisis Moment
Nick Quick published Stop Writing Prompts. Reverse-Engineer Them. which gave a prompt to assess your content over the last 5-10 posts to see what worked and what didn’t and why.
I wasn’t really mentally prepared for what I saw — Hey Nick, you might want to provide a cocktail recipe or something to go with your Titanic-destroying prompt.
Helpful can be hard. The prompt confirmed what I had been feeling — my audience likes depth, but I needed to build out the entry layer and link down into the depths to help anyone entering from anywhere to quickly orient themselves and find what they need next.
This will be a work in progress, but it had implications for the toolkits and operationalizing of the discipline as well.
I had been struggling with how to break-up my first guide Prompt → Agent, which was way too dense at 70 pages, into actionable toolkits that delivered enough value individually and could be done sequentially, at the pace of the buyer.
I wasn’t thinking in terms of offers, and it was making my roadmap seem like another project I’d do in Enterprise IT, not something direct-to-consumer.
I didn’t go to Product School to update my resume. I wanted to use my new mindset, skillset, toolset to get my work out into the world and into the right hands at the right time.
Iterating with Ana’s Offer Stack
Her tool asks for a short statement of the value that you’re offering so I had ChatGPT take my Topic & Audience from Nick’s prompt and generate a few value statements.
This is the one I used:
For AI Product Managers, TPMs, and applied builders shipping agent workflows, Responsibility Engineering provides the structure to prevent drift, contain edge cases, and make AI behavior explainable to leadership.
Next, I’ll walk through the four iterations that I made to the initial offer, using ChatGPT to help me quickly assess what “marketing” told me we should do, plus I’ll share the exact Perplexity prompt that I used to tune my language and ensure market fit.
