Three Questions: Is Using KAIHE AIBOX to Get Ahead Cheating or Competence?

Lin Yue, a product operations specialist at a Shenzhen SaaS company, was five months into her role when she was assigned a critical project: design a localization strategy for a B2B procurement platform targeting Southeast Asia. Two weeks to deliver. Zero prior knowledge of the market.

Q1: Can AI Do Your Market Research?

Using KAIHE AIBOX with DeepSeek-V4's search capability, Lin completed a six-country Southeast Asian e-commerce landscape scan in one day: top platforms, average order values, payment methods, cross-border logistics policies, user review preferences. Two more days for cross-validation.

"What previously required two interns for a week, I got as a first draft in an afternoon. AI replaced the 'finding' — I kept the 'verifying.'"

Q2: Can AI Write a Usable Proposal?

Lin fed her analytical framework (competitive landscape → user personas → content strategy → KPI system) into KAIHE. AI generated chapter drafts. Her job became "review and optimize" — supplementing market analysis with industry insights, adding budget assessments to promotion channels, adjusting KPI weightings.

"Like having a tireless junior analyst drafting for you. But the decisions — which market first, how much to invest, target ROI — those were mine."

Q3: Does Your Boss Know You're Using AI?

"Yes. In my first framework discussion I said, 'This research data is AI-assisted; key findings are cross-validated.' My boss's reaction: 'This is really well done. Let's standardize this workflow and use it for new hire training.'"

The proposal scored an A. Lin was asked to present her "AI-assisted operations workflow" to the department. Two months later, she was selected for the company's high-potential talent program — not because she used AI, but because AI amplified her analytical depth and decision quality beyond her job grade.