Pairgap / AI agent operations + quality
The need
AI agents supporting different business functions needed clear instructions, useful outputs, and a review process.
Mercy’s contribution
- Translated business needs into scopes of work, briefs, examples, and test scenarios for AI builders.
- Reviewed Jessica’s CRM and event use cases, alongside work on Scout, Sage, and Pilar.
- Tested response quality, file delivery, data accuracy, brand alignment, and community behavior.
- Tracked issues, feedback, dependencies, and next steps across review sessions.
- Coordinated technical and operational stakeholders so the agents’ behavior matched the intended workflow.
What the work delivered
A practical human-review layer around AI agent development, with documented feedback and clearer acceptance criteria across iterations.
Tools and methods: ChatGPT, Claude, Grok, Airtable, Agent testing.
