Rahul’s work brings research, content production, review and commercial signals into repeatable AI workflows.
01 / CONTENT
A marketing content system with validation and sources
Rahul has built a system that generates long-form marketing content in a human voice, with clear validation and supporting sources. It brings the writing and checking steps into a repeatable process, so publication can scale.
He recommends a light human review before publication. The final editorial decision remains part of the workflow.
- Generate
- Validate sources
- Human review
- Publish
02 / WEBSITE QUALITY
Autonomous website checks with a second agent reviewing the result
He has built an autonomous AI agent that scans a website daily, checks its blogs, articles and other content for errors, and makes corrections. A separate agent then checks the final result.
The workflow brings a second review to the correction process, making quality checks a continuing part of maintaining a website.
- Scan
- Find errors
- Correct
- Second-agent review
03 / ACCOUNT INTELLIGENCE
Account-based marketing agents that monitor buying signals
Rahul has built agents that monitor funding activity, mergers and acquisitions, C-suite appointments, analyst calls and other developments at target accounts. Those signals support account scoring and help sales teams decide where to focus.
These are research and monitoring agents. They do not send spam emails.
- Monitor signals
- Assess relevance
- Score accounts
- Prioritise