You will get I will audit your AI agents to find silent failures and cost blowups
Project details
Your AI agents fail silently -- they report "done" when nothing happened, burn tokens on loops you never see, and pass green checks while the system underneath is broken. This audit finds exactly where, why, and how to make each failure structurally impossible.
For teams running LLM agents (coding agents, browser automation, multi-agent pipelines) in or near production and seeing silent no-ops, confident-but-wrong completions, or unexplained flakiness.
Each incident gets a five-field autopsy: failure mode, symptom, root cause, detection check, guard. I map your failures against the 6 failure families from a 366-case production corpus, then deliver a written report plus a prioritized guard list -- what to fix first, ranked by cost-of-recurrence. Higher tiers add runnable detection scripts and PR-ready guard hooks.
Why me: I run a multi-agent fleet in production and have written a post-mortem for every failure it ever had -- 366 and counting. The corpus is the credential, not theory.
Guarantee: if the audit surfaces nothing you did not already know, you pay nothing.
For teams running LLM agents (coding agents, browser automation, multi-agent pipelines) in or near production and seeing silent no-ops, confident-but-wrong completions, or unexplained flakiness.
Each incident gets a five-field autopsy: failure mode, symptom, root cause, detection check, guard. I map your failures against the 6 failure families from a 366-case production corpus, then deliver a written report plus a prioritized guard list -- what to fix first, ranked by cost-of-recurrence. Higher tiers add runnable detection scripts and PR-ready guard hooks.
Why me: I run a multi-agent fleet in production and have written a post-mortem for every failure it ever had -- 366 and counting. The corpus is the credential, not theory.
Guarantee: if the audit surfaces nothing you did not already know, you pay nothing.
AI Algorithms
Large Language ModelAI Applications
Conversational AIAI Models
GPT-4What's included
| Service Tiers |
Starter
$500
|
Standard
$1,200
|
Advanced
$2,000
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
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 Lin
AI Automation & Data Extraction Expert | Python, Chatbots, Web Scrapin
Zhonghe, Taiwan - 5:45 pm local time
WHAT I BUILD:
- Data Extraction and Processing — PDF/CSV/web scraping pipelines that extract, clean, and organize data automatically
- AI Chatbots and Virtual Assistants — Context-aware bots for customer support, lead qualification, and internal knowledge bases
- Workflow Automation — End-to-end automation connecting your tools (CRM, email, spreadsheets, APIs)
- Due Diligence and Research Reports — AI-powered company analysis for investors, M&A, and market research
- API Integrations — Custom integrations between any platforms (Zapier/n8n alternative at a fraction of the cost)
PROVEN RESULTS:
- Built automated research pipeline: 2 weeks of manual work reduced to 1 hour
- Created data processing system handling 500+ items/day with zero human intervention
- Delivered AI chatbot with 99.9% uptime and automatic error recovery
- Saved clients $4,500+/month by replacing manual data entry with automation
MY TECH STACK:
Python | Node.js | JavaScript | Cloudflare Workers | OpenAI API | LangChain | Playwright | Puppeteer | REST APIs | SQL | Web Scraping (BeautifulSoup, Selenium) | n8n
WHY CLIENTS CHOOSE ME:
- Fast delivery: Most projects completed in 3-7 days
- Production-ready code with documentation and 30-day support
- Serverless architecture = $0 hosting costs for you
- Bilingual: English + Traditional Chinese — ideal for cross-border projects
Message me with your project details — I will respond within 2 hours with a free scope assessment.
Steps for completing your project
After purchasing the project, send requirements so Lin can start the project.
Delivery time starts when Lin receives requirements from you.
Lin works on your project following the steps below.
Revisions may occur after the delivery date.
Intake, five-field autopsy & guard delivery
Intake & scope your architecture, logs, and flagged incidents; five-field autopsy per incident (failure mode, symptom, root cause, detection, guard); map to the 6 failure families from a 366-case corpus; deliver report + guard list.