From a content idea
to a publishing workflow.
Bringing AI-assisted content creation, brand context and social publishing into one application.
Visit Postizmo ↗The challenge
Turn brand context, AI-generated drafts and connected social accounts into one usable publishing workflow.
Our contribution
Product development across the web application, generation context, account integrations and scheduling logic.
The capability
Prepare content, review it and organise scheduled publishing within the application.
The product challenge
A social publishing application needs to coordinate more than generated text. Content has to reflect a brand, fit its destination, connect to the right account and be ready at the intended time. These steps need a coherent workflow that users can review and manage.
The development contribution
Iulian’s development work spans the web application, integrations and workflow logic. The implementation includes structured brand context for generation, connected social accounts and scheduling. Generation is part of a broader application flow, with user review and explicit content states.
A closer look: brand context
Brand preferences are resolved into structured context and assembled for generation, with fallbacks when information is missing. The implementation distinguishes manually created, AI-assisted and generated content. That distinction helps control which examples inform subsequent generation.
The resulting capability
The application brings content preparation, account connections and scheduled publishing together. The useful outcome is a concrete product capability: a user can prepare and organise content within the publishing workflow.
AI inside a complete product workflow.
- Brand contextUse the business profile and relevant preferences.
- Content preparationCreate topics and draft content for review.
- Review & scheduleKeep explicit content states and a publishing schedule.
- Connected accountsConnect the publishing workflow to social platforms.
Engineering decisions that matter
- Context before generation. Resolve the available brand information and define fallbacks for missing inputs.
- Review before publishing. Keep content preparation and publishing state explicit.
- Integration as part of the product. Account connections and scheduling belong to the same user journey.
What transfers to your project
The same engineering concerns apply to internal AI tools: prepare the right context, keep the user in control, track state and handle external dependencies explicitly. A new project defines its own integrations, review rules and acceptance criteria.
Building an AI-assisted product?
Tell us which systems, users and constraints are involved.