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The Daylight Principle in Agentic AI
The Daylight Principle in Agentic AI. What Is It and Why is it Critical? AI’s Context Challenge. In the previous post in our Augmented, Not Artificial series, we argued that the shift from rigid SaaS to adaptive, intelligent platforms represents the most consequential evolution in enterprise software since the cloud. But recognizing that shift is the easy part. Realizing its benefits is harder.
At Checksum, growth has been fast, market-driven, and executed under pressure. But what’s made the difference is how tightly the team members closest to customers stay aligned as everything accelerates.
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Inside high-velocity startups, go-to-market (GTM) teams must balance two competing forces: operating in their own functional lanes while simultaneously moving in lockstep toward shared revenue goals with the other sub-teams within the organization.
Use AI, intent signals and automation to build a high-speed, effective ‘go-to-market engineering’ revenue pipeline.
In an era where speed often eclipses substance, Headlamp stands apart by building with patience, empathy, and precision. Founded by Erwin Estigarribia and Manaswini Sugatoor, the company tackles one of healthcare’s hardest challenges — uniting fragmented behavioral and biological data to serve patients with greater clarity and trust.
We sat down with Kian to talk about building in a sector defined not by profit but by purpose — what it means to move fast and stay grounded, and how the right team, (fur buddies included), make the hard work pay off and a lot more joyful.
Pulse 2.0 sat down with Tom Chavez to unpack super{set}'s unique approach to company building: conceive → co-found → build → scale alongside founders, with an operator-first culture.
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