Thinking on talent acquisition, hiring systems, and what actually works.
Monolithic recruitment platforms are losing ground to composable AI stacks. We explain the shift and what it means for TA teams building their own tooling.
Your ATS is rejecting your best candidates before you see them. We look at why keyword-based filtering fails and what a smarter approach looks like.
AI shouldn't replace recruiters — it should liberate them. We explore the division of labour between machine-scale tasks and irreplaceable human judgment in hiring.
Wasted time, empty roles, agency dependency — the true cost of a broken hiring process is far higher than most companies realise. We break down the hidden tax.
Behind every effective TA team is invisible infrastructure — the systems, processes, and tooling that make great hiring repeatable. Here's how we build it.
Talent platforms promised to simplify hiring but created new dependencies. We argue for owning your hiring infrastructure instead of renting someone else's.
