You will get a quality audit of your AI agent's real conversations, with a fix list

Project details
Your AI agent is live. Users are talking to it. Do you actually know where it fails?
I will read your agent's real transcripts end-to-end and deliver: per-conversation scoring on a rubric we agree upfront (task completion, answer quality, tone, hallucination, escalation handling), a badcase taxonomy where every failure is classified by type - not just flagged, root-cause clustering that separates retrieval issues from prompting issues from product-design issues, and a prioritized fix list so your team knows what to repair first for maximum quality gain.
The report is written for forwarding: your PM can send it to leadership as-is. Higher tiers add root-cause analysis, an exec-ready summary, and written Q&A follow-up.
This is the discipline used inside large AI product teams - I run evaluation for a production LLM copilot at scale - applied to your data. Bilingual: I audit English, Chinese, and mixed-language conversations.
I will read your agent's real transcripts end-to-end and deliver: per-conversation scoring on a rubric we agree upfront (task completion, answer quality, tone, hallucination, escalation handling), a badcase taxonomy where every failure is classified by type - not just flagged, root-cause clustering that separates retrieval issues from prompting issues from product-design issues, and a prioritized fix list so your team knows what to repair first for maximum quality gain.
The report is written for forwarding: your PM can send it to leadership as-is. Higher tiers add root-cause analysis, an exec-ready summary, and written Q&A follow-up.
This is the discipline used inside large AI product teams - I run evaluation for a production LLM copilot at scale - applied to your data. Bilingual: I audit English, Chinese, and mixed-language conversations.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AIAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$500
|
Standard
$900
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | 2 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | |||
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
About Zengyu
LLM Evaluation & Annotation Specialist | Bilingual EN-CN
Sunnyvale, United States - 10:29 pm local time
Here, I help teams stand up the same rigor in days, not quarters:
• Evaluation frameworks - scoring dimensions, rating scales, accept/reject criteria, and golden sets tailored to your product, not generic checklists.
• Annotation operations - guidelines with worked examples real annotators can follow consistently, Label Studio configurations ready to import, and inter-annotator agreement analysis so you know your labels are trustworthy.
• Conversation quality audits - I read your AI agent's real transcripts, build a badcase taxonomy, cluster root causes, and hand you a prioritized fix list instead of a vague "quality score".
• Intent taxonomies - multi-level classification schemas with decision rules precise enough for both human annotators and LLM classifiers.
• Bilingual delivery - native Mandarin Chinese, professional working English. I evaluate and annotate in both languages, including mixed-language data.
How I work: async-first and documentation-heavy. Fixed-price milestones with clearly defined deliverables. You get artifacts your team can keep using - rubrics, guidelines, configs, reports - not just my opinion.
If your team is shipping an AI feature and the honest answer to "how do we know it's good?" is "we eyeball it", that's exactly the gap I fill.
Steps for completing your project
After purchasing the project, send requirements so Zengyu can start the project.
Delivery time starts when Zengyu receives requirements from you.
Zengyu works on your project following the steps below.
Revisions may occur after the delivery date.
Rubric alignment
We agree the scoring dimensions and what counts as a failure before I read a single transcript.
Audit pass
I score every conversation, classify each failure into the badcase taxonomy, and cluster root causes (per tier).