See how your team would work with Blinkk

Scoping, technical discovery, and dedicated pod assignment

Within one or two working sessions, we review your existing tech stack, share our production lookbook, and perform external discovery on your current digital footprint. We look for performance bottlenecks, editorial friction, and gaps where engineering velocity is slowing your marketing goals.

We provide bidirectional insights upfront. If your project is better suited for an in-house team, an off-the-shelf theme, or a visual agency, we say so immediately. When there is strong mutual fit, we establish a core, right-sized "pod" tailored to your requirements: typically 1–5 UX/AI Engineers, up to 1 Technical Program Manager (TPM), up to 1 Designer (pairing directly with your brand team), and up to 2 GTM and marketing strategists.

While smaller, specialized initiatives may have a fixed initial milestone, most engagements run six months to a year. We assign budgets based on capability, talent, and shipping velocity rather than hours billed—operating as a trusted, embedded extension of your team.

Setting up the project space, communication channels, and engineering focus

Day one begins inside your daily tools. We set up shared Slack or Google Chat spaces, issue tracking, and dedicated mailing lists. We establish project-level long-term goals and map out quarterly milestones that tie directly to your company's commercial calendar: product launches, keynotes, fundraising rounds, or seasonal campaigns.

Every engineer in your Blinkk pod operates within a clear, high-impact focus area. Rather than generalists bouncing between unrelated tickets, your pod has specialized owners spanning technical direction, applied AI, design engineering, and content engineering.

Setting up the content engine

Marketing teams should never wait on an engineering sprint just to update copy, publish a case study, or launch a growth landing page. We make sure your content management flow is accessible, fast, and completely "unlocked" for your team to work with.

Depending on your stack requirements, we either bring in Root.js (our open-source web engine built on TypeScript server components with native Google Cloud Platform integrations and customized Root AI workflows) or integrate seamlessly with your existing martech CMS (Sanity, Contentful, Strapi, or proprietary internal tools).

Our Content Engineers structure resilient content models and publishing workflows that prevent editorial drift and enforce correctness. For redesigns and platform transitions, we eliminate the dreaded "content freeze"—where editors are blocked from publishing for weeks during development—by establishing an automated ETL (Extract, Transform, Load) pipeline:

Setting up staging, continuous QA, and automated agentic testing

High-velocity teams need confidence that changes won’t break on staging. Our AI engineers and UX engineers configure staging environments with automated CI/CD pipelines that spin up isolated, ephemeral preview deployments for every pull request.

Product marketers, designers, and legal counsel get direct preview links where they can click through the actual production build before any code reaches the staging or main branch. No local setups, no waiting for batch deployments.

Simultaneously, our automated QA test suites run on every commit: visual regression diffing across 15+ screen sizes, Core Web Vitals profiling (Largest Contentful Paint, Cumulative Layout Shift, Interaction to Next Paint), accessibility compliance (WCAG 2.1 AA), and machine-legibility validation for AI answer engines.

Executing the launch, post-launch monitoring, and editorial autonomy

We treat launch day like mission control. Whether your rollout is tied to a live keynote, a high-stakes press embargo, or an international product release, we coordinate the DNS cutover, CDN edge cache warming, and verified 301 redirect mappings with zero downtime.

During and immediately after cutover, our engineers monitor real-time telemetry: edge response times, error tracking (Sentry), Core Web Vitals under production load, and analytics ingestion. If anything spikes, our team resolves it within minutes.

Crucially, post-launch success means your team isn't dependent on engineering for everyday updates. We run guided editorial walkthroughs and deliver modular building blocks, verifying that your marketing team can compose, edit, and publish new pages independently.

Continued partnership, growth velocity, and context-grounded agent harnesses

Launch is the beginning of the relationship, not the end. Most clients keep their embedded Blinkk pod in place to support ongoing growth experiments, marketing campaigns, international localization, and technical enhancements.

We sit directly with your team to understand evolving business goals, conversion funnels, and operational bottlenecks. As AI models and tooling evolve, we identify opportunities to introduce applied AI workflows that slash production cycle times: automated image processing, localization string extraction, intelligent search indexing, and automated A/B variant generation.

Crucially, we build custom agents on a dedicated evaluation and execution harness anchored directly in your proprietary business context—ensuring your team has on-demand access to your own agents for internal workflows at any time.

Typically, this includes a customized Root AI workflow so your team can use AI for ad-hoc business needs, discovery research, and natural-language interaction with your content engine. But it also means delivering custom agents for internal operations pre-filled with your organization's context: system integrations, data pipelines, brand voice guidelines, and growth pipelines.

We don't just deploy agents and walk away—we maintain, evaluate, and tune them over time. We refine prompts, update model versions, benchmark latency, and optimize edge caching so your internal workflows stay resilient, cost-effective, and directly aligned with your commercial goals.