by EXceedZero | Reduce Compliance Research Costs by 99%
Traditional: $60,000-75,000 (20-25 experts × 1 week)
Trinity: $18.42 (Automated, 7 hours)
ROI: 3,257x cost reduction
Expandable to 8 industries | Market research in 6 countries
Industries: 🚢 Trade | 📦 Supply Chain | 💼 Accounting | 🌱 Energy | 🏥 Pharma | 💰 Finance | ⚖️ Legal | 📊 Consulting
Current Implementation: US-China Semiconductor Tariff Policy
959 searches → 5,755 documents verified → 245 policies selected Cost: $18.42 | Time: 7 hours | Logs: 125,332 lines
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## Creator: EXceedZero
- Former Futures Trader (50 months: S&P 500, Crude Oil, Treasury Bonds) | Non-Developer
- The Trinity System Completed (25.12.24)
- Claude + Gemini + Python Integrated Usage
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## 30-Week Journey
### Phase 1 (Week 1-6): Foundation + Strategy Classification
- Week 1: Why You Need Both AIs
- Week 2: AI Limitations and Verification Necessity
- Week 3: US Government Agency Information Types
- Week 4: Top-Down Information Mapping
- Week 5: Defining Strategic Categories
- Week 6: Strategy Classification Prompt Structure
### Phase 2 (Week 7-20): 6-Category Collection Framework
- Week 7: Strategy Classification Collection Planning
- Week 8: Logic of Target Item Selection
- Week 9: Target Product Prompt Structure
- Week 10: Target Product Methodology Design
- Week 11: The Role of Economic Scale
- Week 12: Economic Scale Prompt
- Week 13: Structure of HTS Codes
- Week 14: HTS Code Extraction Prompt
- Week 15: HTS Code Methodology Design
- Week 16: Tariff Rate Data Sources
- Week 17: Tariff Rate Search Strategy
- Week 18: Tariff Rate Integration Methodology
- Week 19: Timeline Structure
- Week 20: Timeline Extraction Prompt
### Phase 3 (Week 21-26): Execution + Integration
- Week 21: The Necessity of Execution Prompts
- Week 22: Product Manager Structure
- Week 23: Strategy and Economic Manager
- Week 24: HTS and TariffRate Manager
- Week 25: Timeline Manager
- Week 26: Integration Manager
### Phase 4 (Week 27-30): The Trinity Completion
- Week 27: Claude + Gemini + Python = Trinity
- Week 28: Non-Developer's Python Code Completion
- Week 29: Why Perfect Filtering is Impossible
- Week 30: Go Further with AI
📖 [Full 30-Week Column](https://exceedzero.notion.site/15-000-Line-Prompt-Creation-Process-30-Weeks-29f84ddcec3c812a9444e2514545621a)
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## 💰 Enterprise ROI: Why Companies Choose Trinity
### Traditional Approach
**Per Execution:**
- 20-25 senior experts (Federal Register + trade law expertise)
- 1 week full-time work
- Cost: $60,000-75,000
**Four Impossible Barriers:**
1. ❌ **Expert Recruitment:** Cannot find 20-25 Federal Register specialists on demand
2. ❌ **Time Delay:** 1 month setup = Information already obsolete
3. ❌ **Quality Inconsistency:** Human fatigue across 5,755 documents
4. ❌ **Sustainability:** Annual cost $3M-$3.75M for weekly updates
---
### Trinity Solution
**Per Execution:**
- Automated (built-in Federal Register interpretation)
- 7 hours from start to finish
- Cost: $18.42 (Gemini $15.83 + Search $2.59)
**Four Advantages:**
1. ✅ **Zero Recruitment:** Instant execution
2. ✅ **Real-Time:** Results same day as policy announcement
3. ✅ **Consistent Quality:** AI maintains standards across all documents
4. ✅ **Sustainable:** $2,600/year for weekly updates
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### ROI Summary
**Single Execution:** 3,257x cost reduction | 99% time reduction
**Annual (52 weeks):** Save $2.997M-$3.747M | ROI: 1,200x-1,500x
---
## Key Insights
### 1. How a Non-Developer Completed Python Code
"Week 1-26 Prompt Experience → Week 27-28 Python Requirements"
- Token Limit Experience → Auto-Save Request
- Interruption Issue Experience → Resume Function Request
- Turning Concerns into Code
### 2. Why Perfect Filtering is Impossible
"Federal Register Structural Limitations"
- Semiconductors + Pesticides + Pharmaceuticals Combined Documents
- Trade-off: Precision ↑ = Recall ↓
- Solution: ⚠️ Blacklist Warning Display
### 3. Debunking AI Bubble Theory
"$18.42 Completing $60,000-75,000 Work"
- Traditional Method: 20-25 Senior Experts × 1 Week
- AI: 7 Hours
### 4. The Trinity = Next-Generation Work Standard
"Claude (Planning) + Gemini (Execution) + Python (Control)"
- Achievable by Non-Developers
- Expandable to 8 Industries
- Based on Government Public Data
### 5. AI Limitations and Possibilities
"AI is a Tool, Final Judgment is Human"
- Pursuing Perfection (X) → Ensuring Transparency (O)
- Verifiable with 125,332 Lines of Logs
- AI + Human Collaboration
---
## Verified Results
### January 1, 2026 Execution Results (UPDATED)
| Item | Value |
|---|---:|
| Searches | 959 |
| Documents Verified | 5,755 |
| Policies Selected | 245 |
| Log Lines | 125,332 |
| Total Cost | $18.42 |
| Time Required | 7 hours |
### Cost Analysis
| Component | Cost (USD) |
|---|---:|
| Gemini API | $15.83 |
| Custom Search API | $2.59 |
| **Total** | **$18.42** |
### Results by Category
| Category | Selected | Characteristics |
|---|---:|---|
| **Economic** | 59 | Economic Data Distributed |
| **HTS** | 24 | Partial HTS Codes |
| **Product** | 32 | Clear Product Lists |
| **Strategy** | 60 | Section 301 Focused |
| **Tariff Rate** | 59 | Tariff Rate Information |
| **Timeline** | 11 | Limited Implementation Dates |
| **Total** | **245** | - |
---
## Tech Stack
### Core AI
- **Claude Sonnet 4.5:** Prompt Planning and Design (6 months)
- **Gemini API (Gemini 2.5 Pro):** Large-Scale Execution and Filtering
- **Python:** Control, Verification, Logging
### Infrastructure
- **Google Colab:** Python Execution Environment (Free)
- **Google Custom Search API:** Government Document Search ($2.59)
- **Gemini API Call Cost:** ($15.83)
### Core Features
- **Phoenix Spirit:** Automatic Recovery System
- **Resume Function:** Restart from Interruption Point
- **Dual Verification:** AI + Python Cross-Check
- **Transparent Logs:** 125,332 Lines of Complete Process Records
- **URL + Snippet:** All Policies Verifiable with Original Source
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## System Architecture
### Data Flow
[Search Phase] Custom Search API (959 searches) ↓ 5,755 documents collected (Title + URL + Snippet)
[Filtering Phase] Gemini API (analyze 30 at a time) ├─ Is it a future implementation policy? ├─ Is the date after the reference date? └─ Is it semiconductor-related?
Python Cross-Verification ├─ Check semiconductor keywords └─ Remove non-tariff keywords
[Result Phase] 245 policies selected ├─ Economic: 59 ├─ HTS: 24 ├─ Product: 32 ├─ Strategy: 60 ├─ Tariff Rate: 59 └─ Timeline: 11
---
## Limitations and Disclaimer
### Why Perfect Filtering is Impossible
1. **Federal Register Document Structure**
- Multiple Industries Announced in Single Documents
- Semiconductors + Pesticides + Pharmaceuticals Combined Documents
- Partial Extraction Impossible
2. **Trade-off Problem**
- Precision ↑ → Recall ↓
- Adding Blacklist → Missing Future Policies
- Unpredictable New Combinations
3. **Consistency Limitations**
- Google API Distributed Data Centers
- Differences by AI Model Version
- Search Result Variability
### Response Strategy
✅ **Impurity Display Method**
- Display "⚠️ Blacklist Warning"
- Provide URL + Snippet
- Manual Verification Required
✅ **Goal Change**
- 100% Purity (X) → Maximum Collection + Transparent Distinction (O)
- Complete Removal (X) → Clear Display (O)
- AI Alone (X) → AI + Human Collaboration (O)
---
## ⚠️ Mandatory Disclosure
This report is not any 'definitive information' or 'commercial/legal advice' on policies, but an educational and research-purpose [original source screening log] for strengthening corporate AI capabilities.
As a technical demonstration to show the algorithm's operation as-is, it intentionally includes a broad scope like health screening, and therefore contains some errors or omissions of information, which is why all original source URLs must be directly verified.
Whether actual policies are reflected and detailed contents must be directly and precisely verified by experts through the indicated URLs, and all practical decision-making (management, investment, legal, financial, procurement, contracts, etc.) based on this report is strictly prohibited.
We do not bear responsibility for any losses arising from violation of this, and we do not bear any legal liability whatsoever for the currency, comprehensiveness, and final judgment results of the information.
Reading the text below means you agree to the above terms. If you do not agree, please close this window immediately.
**Usage Precautions:**
- ✅ Use for Educational/Research Purposes Only
- ✅ Must Directly Verify All URL Sources
- ✅ Expert Verification Required
- ❌ Cannot Be Used Directly for Business Decision-Making
- ❌ Cannot Be Used for Investment/Legal/Financial/Business Advisory Purposes
---
## 🏢 Expandable to 8 Industries: Enterprise Use Cases
Same methodology, different agencies, identical cost efficiency (~$18-50 per execution).
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### 🚢 1. Import/Export & Trade Compliance
**Current Implementation** (Semiconductors proven)
**Business Challenge:**
- Manual Federal Register/CBP/USITC/USTR tracking
- Missing Section 301 changes = Supply chain disasters
- Traditional: $60K-75K per update
**Trinity Solution:**
- **Automated monitoring:** Federal Register, CBP, USITC, USTR
- **Filter:** Section 301, IEEPA, HTS changes only
- **Cost:** $18.42 | **Time:** 7 hours | **ROI:** 3,257x
**Market Research:** US, Taiwan, Netherlands, Singapore, Korea, Canada
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### 📦 2. Supply Chain & Logistics
**Lead time: 3 months for supply chain reorganization**
**Prompt Design:** "USTR/CBP/OFAC regulations effective within 3 months only"
**Sources:** Tariff changes, customs updates, sanctions, trade agreements
**Filter:** Effective dates within 3 months (not all changes)
**Benefit:** Advance notice to reorganize before enforcement
---
### 💼 3. Accounting & Audit Firms
**Prepare financial statements before standards take effect**
**Prompt Design:** "FASB/IASB/IRS/SEC standards with future effective dates only"
**Sources:** GAAP, IFRS, Tax Code, SEC disclosure changes
**Filter:** Future effective dates (ignore active standards)
**Benefit:** Client preparation before compliance deadlines
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### 🌱 4. Energy & Carbon Compliance
**1-2 year preparation for carbon compliance**
**Prompt Design:** "IEA/EPA/EU regulations for 2026-2027 implementation only"
**Sources:** EU CBAM, ETS, IRA credits, carbon markets
**Filter:** 2026-2027 implementation (not current)
**Benefit:** Time to build compliance infrastructure
---
### 🏥 5. Pharmaceutical & Medical Devices
**FDA/EMA approval timing determines market entry**
**Prompt Design:** "Phase 3 completions + approval-pending + future regulations"
**Sources:** FDA approvals, EMA reviews, regulatory changes
**Filter:** Approval-pending (not approved)
**Benefit:** Market entry timing optimization
---
### 💰 6. Financial Institutions
**Basel III/IV multi-year phase-in tracking**
**Prompt Design:** "SEC/Fed: future phase-in stages only"
**Sources:** Basel requirements, MiFID II, Fed frameworks
**Filter:** Future phase-ins (not current)
**Benefit:** Multi-year capital planning
---
### ⚖️ 7. Law Firms & Legal Departments
**Proposed bills and pending cases**
**Prompt Design:** "High-probability bills + pending Supreme Court + auto-link precedents"
**Sources:** Congressional bills, court dockets, precedents
**Filter:** High-probability + pending (not decided)
**Benefit:** Early client positioning
---
### 📊 8. Consulting Firms
**Latest data + forward regulatory intelligence**
**Prompt Design:** "Future proposed rules + latest statistics"
**Sources:** FDA/EPA/FCC/FTC proposals + Census/BLS/BEA data
**Filter:** Future regulations + latest stats
**Benefit:** "Future-proofed" client recommendations
---
### Common Features Across All 8 Industries
✅ **Based on Government Public Data** (legally safe, accessible)
✅ **Transparent Filtering** (all decisions logged, AI + Python cross-verification)
✅ **Verifiable URLs** (click-through to original Federal Register/FDA/etc.)
✅ **Same Infrastructure** (Google Colab, Custom Search API, Gemini API)
✅ **Identical Cost** (~$18-50 per execution regardless of industry)
✅ **Trinity Structure** (Claude plans, Gemini executes, Python verifies)
**Semiconductors was just the first proof of concept. The methodology works for any government-regulated industry.**
---
## 🎯 About EXceedZero
**EXceedZero** demonstrates that domain experts—not computer scientists—can build enterprise regulatory intelligence systems using proper AI methodology.
### Mission: "Go Further with AI"
Making professional regulatory intelligence accessible through transparent automation. Proving breakthrough AI systems require domain expertise and verification frameworks, not programming backgrounds.
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### The Trinity Innovation
**World's First Transparent Multi-LLM System(Completed on December 24, 2025):**
- **Claude** (Architect): 15,000-line master prompt design (6 months)
- **Gemini API** (Engine): Consistent execution across 5,755 documents
- **Python** (Verification): Independent cross-validation
**Results:**
- 125,332 lines verified for $18.42
- 99% time reduction (800+ hours → 7 hours)
- 100% government sources (.gov only)
- Full audit trail (every decision logged)
---
### What We Provide
**Not Data Subscription:**
⚠️ We do NOT sell policy results, predictions, or data feeds
⚠️ We do NOT provide legal/financial/business advice
**AI Capability Enhancement:**
✅ Transparent methodology (30-week implementation guide)
✅ Verification framework architecture
✅ Multi-LLM orchestration techniques
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### Background: From Trading to AI
**Futures Trader:**
- **50 months** experience: S&P 500, Crude Oil, US Treasury Bonds
- **Transition:** Manual analysis → AI automation
- **Achievement:** Built 125,332-line policy system with **zero programming background**
**Proof: Domain Expertise > Programming**
A futures trader with no policy understanding built better regulatory intelligence than traditional software engineers—because the challenge isn't coding, it's knowing what matters and how to verify it.
---
### Global Market Validation
**Market Research Completed in 6 Countries:**
🇺🇸 United States | 🇰🇷 South Korea | 🇨🇦 Canada
🇳🇱 Netherlands | 🇸🇬 Singapore | 🇹🇼 Taiwan
**Multiple industries have expressed interest in enterprise solutions.**
---
### Early Access Program
**Enterprise Inquiry** (AI methodology training, not data subscription)
**Required Information:**
- Company name and country
- Industry sector (from 8 categories above)
- Current compliance research challenges
- Estimated annual compliance research budget (USD)
**Contact:** exceedzero@exceedzero.com
**Early Access Benefits:**
- Priority notification at official launch
- Special early-bird enterprise pricing
⚠️ **Educational purpose only.** This is AI methodology training, not policy analysis or business advice. All decisions remain with enterprises.
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## Contact
**EXceedZero**
Independent Prompt Engineer & Trinity Architect
🌐 Website: https://exceedzero.com/
📧 Email: exceedzero@exceedzero.com
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**Go Further with AI** 🚀