CEO and co-founder of Kief Studio. Full-stack developer and strategist. Perplexity AI Business Fellow. In tech since 2012.
https://ameliasgagne.com106 articles
"Here's how these two platforms compare" is market context. It tells you what each product does. It doesn't tell you which one fits your environment, your team, or your constraints. That requires a different kind of work entirely.
Every time you post content on social media instead of your website, you're building someone else's asset. Your website is the only digital property you actually own.
Broad service offerings feel safer. They're not. The businesses that grow consistently and command premium pricing almost always have a narrower focus than their competitors.
Most people open Search Console to check rankings. It does much more than that — and the most valuable insights are in the data most people ignore.
Automation and hiring solve different problems. Conflating them is one of the more expensive strategic mistakes a growing business makes.
A founder kept using the word 'struggling' to describe a routine task. She didn't have a competence problem. She had a product-fit problem — and most people can't tell the difference from the inside.
A blog post published in January 2024 is still driving traffic in April 2026 — at zero marginal cost. A social media post from January 2024 doesn't exist anymore. The math isn't close.
A capabilities deck tells you what a vendor wants you to know. The right questions reveal what you need to know. A framework for vendor evaluation that goes past the demo.
A recommendation that assumes specific infrastructure is available everywhere may not survive contact with the actual operating environment. Hardware constraints are real, common, and routinely ignored during software evaluation.
Featured snippets aren't won by luck. Google extracts the cleanest, most direct answer to a query — and you can write specifically for that extraction.
Most technology problems are symptoms. Slow reporting might be a data governance issue, an analytics architecture gap, or a process failure that predates any software. Solving the symptom with a new tool means the problem moves — it doesn't disappear.
Most teams treat security as a final review. We treat it as the first architectural decision. The difference shows up in audit season.
