What Was Broken

Content creators faced a time-consuming workflow: filming videos, writing captions, researching hashtags, designing thumbnails, and scheduling posts manually across multiple platforms. Each step required creative effort but consumed hours that could be spent on actual content creation.

Who Was Affected

Individual creators and small teams managing social media accounts lacked a tool to streamline the post-production workflow, resulting in inconsistent posting schedules and missed engagement opportunities.

Business Risk

Without automation, creators either compromised on content frequency (leading to reduced audience engagement) or burned out from repetitive manual tasks (reducing overall content quality).

Approach

Mapped the entire post-production workflow to identify manual touchpoints. Researched available AI services for caption generation, hashtag recommendations, and scheduling tools. Designed an integrated solution using Make.com as the orchestration platform.

Key Discoveries

• AI can generate contextually relevant captions with high accuracy
• Hashtag research can be automated using API-based tools
• Multi-platform scheduling reduces manual post creation by 80%+
• Templates ensure consistent branding across platforms

What Was Designed

Built an automated caption-to-post pipeline that accepts video input, generates AI-powered captions, recommends hashtags based on content analysis, optimizes post timing, and publishes to multiple social platforms in one workflow.

Automation Workflow

Why This Solution

Centralized workflow reduces context-switching, AI handles creative repetition freeing human effort for actual content creation, multi-platform support maximizes reach without multiplying manual work.