AI Office Efficiency Assistant

Problem

Office work often fails not because a team lacks an LLM, but because tasks split across PPT, copywriting, meeting notes, data reports, images, video, and agents. The hard part is choosing the right model, turning a rough request into a reusable prompt, and reviewing the output before it becomes a deliverable. AI Office Efficiency Assistant packages that decision into a repeatable workflow: identify the scenario, recommend a tool stack, refine the prompt, and save the winning pattern.

How It Works

• Tool selection: It compares mainstream models such as DeepSeek, Kimi, Tongyi, Wenxin, Zhipu, and iFLYTEK, then suggests combinations by task. For example, a quarterly PPT can use DeepSeek + Gamma, while meeting minutes can use Tongyi Tingwu or Feishu Minutes.
• Prompt optimization: It rewrites initial requests around context + task + requirements + format, and applies role prompting, chain questioning, and other techniques to make output more suitable for business documents.
• Workflow capture: High-frequency tasks are stored as templates, reducing repeated description of background, goals, tone, and format.

The listed modules include AI+PPT, AI+text, AI+image, AI+video, AI+digital human, AI+data analysis, AI+agents, AI+meetings, AI+email, and AI+search.

Boundaries

This skill is closer to a prompt-method and tool-routing guide than a direct production service. Results depend on the selected model, external tool access, input materials, and human review. For customer, finance, or internal policy data, sanitize inputs first. Legal, medical, or financial outputs still require qualified review.