RESEARCH // WHILTER LABS
The lab notebook.
Playbooks, benchmarks, and architecture for AI-native marketing — written from the engine, not about it.
What does Whilter research?
Builder-facing research on AI-native marketing — the operating model, keeping generative models on-brand, and why the loop compounds. Our POV essays sit alongside.
Personalized, Compliant Marketing at Scale
How brands run personalization across channels and languages without losing brand control or regulatory compliance — the operating model, the failure points, and what it looks like in production.
personalizationcomplianceoperating-modelmultilingual R-03Strategic Thinking in Vision Models
What multimodal models can reason about in creative and competitor analysis — and where they still need a human.
vision-modelsmultimodalcreative-analysis R-04Monolith vs Agentic Systems
Why marketing software is moving from one monolithic platform to a system of specialised agents — and what changes for the buyer.
architectureagentssystems R-05How to Make an LLM Focus
Generative models drift without constraints. The context-engineering and brand-DNA techniques that keep output on-task and on-brand.
llmcontext-engineeringbrand-dna R-06Benchmarking Brand Compliance
How to measure whether AI output is actually on-brand — a benchmark and a method, not a vibe.
brand-complianceevaluation R-07The AI-Native Marketing Playbook
What marketing looks like when AI is the substrate, not a bolt-on — the operating model, not the tool list.
ai-nativeoperating-modelplaybook