Intelligence Track
3 June 2026
The Brief
Two signals today sit at the top of the competitive stack and deserve to be read together: MakeMyTrip is moving influence spend upstream into intent-matched discovery, while Ixigo is using anniversary-anchored discounting to drive acquisition and hotel GMV in the same window.
The combined effect is that Cleartrip faces competitive pressure at both ends of the funnel simultaneously — before users have intent and at the moment of conversion — without an obvious asymmetric counter on either. The design track today is more structurally important than it might appear: both the AI-ready design systems piece and the write-first piece are pointing at the same underlying problem, which is that teams are losing decision quality as the pace of artifact production accelerates. If AI tools generate interfaces faster than teams can align on what they're building and why, the output is faster drift, not faster shipping. The Lovable hiring piece adds a headcount dimension: the teams winning on velocity right now are winning on composition, not size. The question for Cleartrip's leadership is whether the current team architecture — across product, design, and marketing — is configured to move at the speed that the competitive moment requires.
Smashing Magazine · 3 Jun 2026
The piece outlines structural changes design systems need to support AI-generated UI — specifically: semantic token naming, component documentation written for machine parsing, and pattern libraries that can be consumed by code-generating agents rather than only human designers.
The author advocates for beginning design processes with written decisions — briefs, principles, rationale — before any visual exploration, arguing that Figma-first workflows cause teams to commit to directions that were never consciously chosen.
Why it matters
For product teams shipping at speed, the write-first discipline helps prevent the common failure mode where a prototype becomes the de facto spec before stakeholders have aligned on the underlying problem or constraint.
Elena Verna, CPO at Lovable, describes their hiring philosophy as a deliberate mix of 'cowboys' (high-velocity generalists who build fast and break things) and 'farmers' (operators who systematise and scale), arguing that Lovable's output-per-headcount is a function of team composition rather than headcount alone.