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About this session Key takeaways
In Practice: How the Best Teams Are Building With AirOps



Customers walk through what they've actually built on the new AirOps, the systems they replaced, and the metrics they're now accountable to.
A grounded counterweight to the keynote, with real numbers and real plays.
- 01"It's not about coding now. It's about clarity." Playbooks dramatically lowered the technical barrier. Bitly's Roland moved from scratching his head over the old builder in the fall to spinning up playbooks in 1 to 3 hours with zero errors. Bridget at Chime found that all the data already existed on the platform, but pulling it into a leadership-ready case used to be the bottleneck. The Content Engineer role is now opening up to team members who never had a technical SEO background.
- 02Bitly is seeing 14 to 15x efficiency gains, and the role evolution is real. CMO Tara Robertson reports a 14 to 15x efficiency gain, with reclaimed time reinvested into better ROAS and LTV:CAC. Roland's path from content editor to Content Engineer is the template. New positions are emerging that didn't exist a year ago, and the leader's job is to manage that evolution up to the board and across the org.
- 03The data finds you. Bridget at Chime ran a quarter-over-quarter look at Reddit citation share and uncovered a competitor with a 300% surge from Q4 to Q1. She wasn't looking for it. That single discovery shifted Chime's whole strategy and earned new leadership engagement. Playbooks lets you ask specific questions, and the unexpected adjacent answers are often where the real value lives.
- 04Human-in-the-loop is the difference between AI slop and AI strategy. In regulated finance, Chime used to spend up to four months pushing an article through compliance, legal, and bank review because of constantly-changing disclosure language. Playbooks lets them encode new disclosures directly into the system, so the manual cleanup is gone, but humans still review the actual content. Tara's framing at Bitly: every output has a human at the end, and the Content Engineer role is what separates AI slop from AI strategy.
- 05Start with the tedious task, not the flashy one. And communicate everything. Bridget's advice: build the disclaimer cleanup playbook before the cross-functional moonshot. Tedious wins prove ROI and earn buy-in. Use it cross-functionally too. Bridget builds playbooks live in meetings to hand stakeholders the data in real time. Tara's advice: bring legal, the CEO, and the board through the journey. No one knows what they're doing yet, so share wins, share losses, share all of it.