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Yes. Every AEM Headless developer we place designs Content Fragment Models as the structured content backbone of a headless project. They define data types correctly single-line text, multi-line rich text, enumerations, content references, and nested fragment references and use fragment references rather than duplicating data so editors maintain one source of truth. They understand how the model maps directly to the auto-generated GraphQL schema, so a clean model means a clean API. They configure variations for channel-specific copy, apply content fragment policies and folder-level model allow-lists, and structure the DAM folder hierarchy so authors and the API both stay performant. In a scoping call the PM confirms your channels and consuming apps so the developer designs models that serve web, mobile, and downstream systems without rework.

Yes. Our developers build production GraphQL endpoints on AEM, not just demos. They write queries against the auto-generated schema using model-based, by-path, and list-with-filter query types, then convert them into persisted queries stored on the server so the client only sends a short reference URL which is cacheable on the dispatcher and CDN, unlike POST queries. They tune queries to request only needed fields, handle pagination with offset and cursor approaches, and configure the GraphQL endpoint and CORS correctly for cross-origin consumers. They also know the difference between the global endpoint and configuration-specific endpoints, and how to secure them. The result is a fast, cacheable content API that survives traffic spikes instead of hammering the publish tier.

They architect AEM as the headless content hub feeding many front ends from one repository. Content authored once as Content Fragments is delivered via the GraphQL API to React, Next.js, iOS, Android, kiosks, and even voice or IoT surfaces, with channel-specific variations handled in the model rather than forked content. They use the Assets HTTP API and AEM Content Services where appropriate, apply Editable Templates and the SPA Editor only where in-context authoring is needed, and keep purely headless channels lean. They also plan caching layers per channel and set up preview versus publish endpoints so editors can validate content before it goes live everywhere. The PM confirms exactly which surfaces you serve so the architecture matches your real channel mix.

A PM is assigned within 10 minutes of booking and scopes your requirement on the first call. For a clearly defined task a Content Fragment Model, a set of GraphQL persisted queries, or a single front-end integration a vetted AEM Headless developer typically starts the same day. We offer three engagement models: project-based (a fixed headless deliverable with milestones), dedicated (a developer embedded with your team full-time for a sprint or longer), and on-call burst capacity (hours drawn down as issues arise). You can scale up or down between sprints and cancel after any engagement. The PM coordinates the developer with your front-end, DevOps, and content teams so endpoints, CORS, and dispatcher rules are never a blocker.

Yes. Modern headless work almost always pairs AEM with a JavaScript framework. Our developers consume the GraphQL persisted queries from React, Next.js, or the AEM Headless SDK, wire up the client with proper authentication for protected content, and implement server-side rendering and static generation in Next.js so content pages stay fast and indexable. They handle image rendition selection via the DAM and dynamic media, map rich-text fragment fields to JSX safely, and set up incremental revalidation so published changes appear without a full rebuild. They also know when to use the SPA Editor and Remote SPA model so marketers keep in-context authoring on otherwise headless apps. The PM confirms your framework so the integration targets your real stack.