Tag: Product Management
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My Product Management Toolkit (69): AI guardrails
What are AI guardrails? Guardrails identify and remove inappropriate or inaccurate output generated by LLMs. They can also pick up on risky prompts to reduce the risk of leaking sensitive information, sharing personally identifiable information and providing non-compliant advice. Guardrails shape the LLM’s behaviour by setting specific rules that apply to any data input into…
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Learning about automated prompts
Most of the prompts we write are done manually — you type something into ChatGPT or Claude and wait for a response. But there’s a whole other world of prompting happening behind the scenes, where developers write code that assembles and fires off prompts automatically, thus reducing the manual effort in prompt creation and tuning.…
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Building a Vibe Coding Assistant in Bolt
I like tinkering with new product ideas. I struggle sometimes with the quality of my prompts – taking my idea and prompting tools like Bolt or Lovable to create a prototype. It’s that classic cold start problem where you don’t know what you don’t know. Just for fun, I wanted to see if I could…
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The rise of Agentic Shopping
Earlier this year Google released shopping features as part of its new AI Mode, with Google enabling AI agents to spot the best deal for a specific product and complete the checkout for the user. This is just one example of the early rise of “Agentic Shopping” – AI agents that aren’t just recommending products…
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What is Context Engineering in AI?
A few months ago, Shopify’s CEO Tobi Lütke tweeted about “context engineering” – a concept that’s reshaping how we think about AI interactions. We’re all familiar with prompt engineering, where crafting the right input determines your AI output quality. But what happens when your perfectly designed prompt still misses the mark because the AI lacks…
As I learn ... 