Project detail
AI-assisted marketing operations
Built practical workflows that use AI tools for content, website analysis, analytics and repetitive operational tasks.
- Category
- AI and automation
- Status
- maintained
- Disclosure
- Generalized employer project
The result
Reduced some analysis and content tasks from multiple days to a few hours.
Human judgement stays inside the loop.
Problem
Marketing and website teams often spend large amounts of time exporting data, interpreting it, preparing content and repeating the same operational steps.
Context
These workflows were developed through day-to-day marketing operations and experimentation. They support human decisions rather than replacing them.
What I owned
- Identified repetitive or slow work that could benefit from AI assistance.
- Designed and tested workflows for content creation, analytics, website-data analysis and technical troubleshooting.
- Used coding agents to prototype solutions without pretending to be a software engineer.
- Introduced repeatable ways of working rather than relying only on one-off prompts.
Approach
- Exported and structured website or marketing data before asking AI tools to analyse it.
- Used ChatGPT and Claude for analysis, drafting and workflow design.
- Used Codex and Claude Code to prototype scripts, fixes and small tools.
- Kept human review and business context inside the process.
Tools or systems
ChatGPT · Claude · Codex · Claude Code · Web analytics · Structured data
Outcome
- Reduced some analysis and content tasks from multiple days to a few hours.
- Made website and marketing data easier to turn into actionable observations.
- Built a repeatable experimentation habit around AI-assisted operations.
What I learned
- AI is most useful when the input data, task boundaries and review process are clear.
- Small workflow improvements can create more value than a large automation project that is difficult to maintain.
- The best results come from combining domain knowledge with technical tools.