MACE Lite Founder v1.1

Manual Agentic Context Engineering: The Strategic Layer Before Vibe Coding

You Can Build Fast. But Are You Building Right?

You've discovered vibe coding tools—Cursor, Claude, Replit. In hours, you can have a working demo.

But here's what nobody tells you:

❌ Your third demo is sitting unused. Was it the execution or the idea?

❌ The AI generated 500 lines of code that don't connect properly.

❌ You have 5 ideas. Which one deserves 3 months of your life?

❌ Will your app cost $50/month to run... or $500?

The gap between "I can build with AI" and "I have a profitable SaaS" is costing you months of wasted effort.

Speed without strategy = building things nobody wants to pay for.

The Missing Phase: Strategic Validation Before Code

Most founders jump straight to coding. That's Phase 1.

MACE is Phase 0—the validation layer that experienced founders use before writing a single line of code.

Built on Stanford/Berkeley Research

MACE adapts Agentic Context Engineering (ACE)—a framework published by researchers at Stanford University, UC Berkeley, and SambaNova Systems.

ACE proved that AI systems using Generation → Reflection → Curation loops outperform standard approaches by +10.6% in production environments.

MACE takes this enterprise AI architecture and makes it accessible to non-technical founders using free-tier tools.

You're not learning "better prompts." You're learning production AI architecture adapted for bootstrapped builders.

Two Breakthrough Innovations

Innovation #1: The Hybrid AI Quality System

The problem everyone faces:

• Use free AI models = Inconsistent, generic outputs
• Use premium AI everywhere = $200+/month burned

MACE's solution: A strategic orchestration system that gets you premium-level quality while spending $0-20/month.

How? By understanding which AI to use when and how to engineer context across free and premium models strategically.

This isn't about prompts. It's about intelligent model orchestration based on the ACE research framework.

Innovation #2: Manual Context Engineering

ACE research showed that proper context curation prevents AI from "forgetting" critical details and improves output quality significantly.

Enterprise systems do this with expensive databases and automation.

MACE does this with a simple Google Doc and strategic human curation.

The result? You maintain context across unlimited sessions, quota resets, and even different AI platforms—at zero cost.

The manual curation step becomes your proprietary IP. Your decision-making about what context matters is what transforms generic AI outputs into strategic business intelligence.

The MACE System: 4 Specialized Agents

Instead of hoping your idea works, you validate it through four expert perspectives:

🏗️ Software Architect - Designs cost-optimized technical blueprints

📚 Software Engineering Tutor - Finds technical red flags before you build
🔍 Market Researcher - Proves people will actually pay 

📈 Business Advisor - Creates monetization strategy

Each agent uses the Hybrid AI approach and feeds into your Manual Context Engineering system.

The output: A complete Go/No-Go decision with validated architecture, confirmed demand, and business strategy—all before you code.

The Critical Handoff: MACE → Vibe Coding

Here's what most people do wrong:

They open Cursor and say "Build me a task manager."

The AI generates code immediately. It's broken. You debug for 20 hours.

Here's what MACE teaches:

You arrive with a validated Technical Project Brief and use a specific handoff protocol that forces your vibe coding tool to prove it understands the architecture before generating code.

This one technique prevents 90% of "broken spaghetti code" problems.

MACE makes your vibe coding 10x more efficient by giving it a blueprint, not a vague idea.

Proof: The Qiche Case Study

The founder: Non-technical. Zero coding background. Zero budget.

The challenge: Ready-to-Build automotive intelligence SaaS without hiring developers or giving up equity.

The process: 3 days of MACE validation → Single session with vibe coding tool

The results:

• ✅ Complete MVP built in one free-tier session (no debugging)
• ✅ 90% gross margins before hosting (API costs: $0.23/month)
• ✅ 96% success rate in testing (production-ready architecture)
• ✅ $200,000+ in avoided engineering costs
• ✅ $0 spent on AI subscriptions during entire process

Key architectural wins MACE caught before coding: Cost-optimized pipeline, failure mitigation protocol, dynamic scaling strategy, verifiable output system.

This isn't a toy project. Qiche is institutional-grade architecture ready-to-build by a non-technical founder using MACE + strategic vibe coding.

The complete case study—including the exact prompt used—is in the bundle.

NEW:10-docs due diligence-ready COMING NEXT MONTH

What Connects Everything

MACE isn't a collection of random tips. It's an integrated system where:

• ACE research principles guide the architecture
• The Hybrid AI System makes it economically viable ($0-20/month)
• Manual Context Engineering preserves your strategic intelligence
• Dynamic interaction principles ensure quality at every step
• The 4-agent validation covers every business angle
• The handoff protocol ensures vibe coding executes what you validated

Every piece connects. Every decision is explained.

What You Get

📘 Document 1: The MACE Founder Framework (10 pages)

Foundation, methodology, the two core innovations, complete FAQ

🛠️ Document 2: The MACE Implementation Kit (9 pages)

Templates, workflows, strategic systems (Hybrid AI + Manual RAG detailed)

🌟 Document 3: The MACE Proof - Qiche Case Study (9 pages)

Real implementation, unredacted prompts, architectural decisions, results

📋 Document 4: The 4-Agent Prompt Pack

Ready-to-use prompts for all agents (copy-paste and customize)

🎥 2 Video Overviews (15 min total)

Complete system walkthrough

🎧 1 Audio Deep Dive (20 min)

Learn while commuting

🤖 BONUS: Interactive NotebookLM

Pre-loaded with all documents—ask questions, generate custom reports

Total: 30+ pages of implementation guides + multimedia learning

Two Validation Paths

⚡ Lightning Mode (4 Hours) Quick validation, 1-page brief, Go/No-Go decision Perfect for: Testing multiple ideas, deciding what to build next

🗓️ Full Plan (8-10 Hours, 3 Days) Complete acquisition-ready blueprint with validated everything Perfect for: Your primary business idea, building to sell

Both paths cost $0 in AI subscriptions (strategic free-tier usage)

Who This Is For

✅ You need MACE if:

• You want to validate before building (not guess and hope)
• You use or want to use vibe coding tools efficiently
• You want 100% equity (no technical co-founder needed)
• You have 4-10 hours for proper validation
• You're willing to talk to potential customers
• You want to understand strategic decisions, not just follow instructions

❌ Skip MACE if:

• You've never used AI tools (learn basic vibe coding first)
• You want overnight passive income with zero work
• You have $50K+ to hire a dev team
• You won't validate with real customers
  

What MACE Delivers

✅ What You Get:

• Research-backed methodology (ACE adaptation)
• 90% reduction in pre-build guesswork
• Data-driven Go/No-Go confidence
• Cost-optimized architecture validated before coding
• Strategic business framework
• $0-20/month costs vs. $200-500/month alternatives
• 10x more efficient vibe coding (blueprint-driven)

❌ What MACE Isn't:

• Not a guarantee of overnight success or viral growth
• Not a replacement for customer validation work
• Not a passive income scheme
• Not a promise of guaranteed revenue

Real talk: MACE gives you the validation framework experienced founders use. You still execute, iterate, and validate with real customers. But you do it with strategic confidence, not blind hope.

The Economics

What comparable services cost:

• Technical architect consultation: $10,000-50,000
• Market validation consultant: $2,000-5,000
• Technical co-founder equity: 25-50% of company
• Premium AI subscriptions: $2,400-6,000/year

MACE delivers equivalent strategic value.

Your investment: €29.90 (until 1st of January)

One prevented failed build pays for MACE 100x over.

Common Questions

Q: I'm not technical. Will this work for me? A: Yes. MACE is designed for non-technical founders. You need basic AI familiarity (ChatGPT level), zero coding knowledge required.

Q: How is this different from other AI courses? A: Other courses teach "better prompts." MACE teaches production AI architecture (based on published research) adapted for founders. Strategic systems, not tips.

Q: Do I need paid AI subscriptions? A: No. The Hybrid AI System uses free-tier models strategically. Total cost: $0-20/month.

Q: I already know vibe coding. Why do I need this? A: MACE is Phase 0 before vibe coding. It makes your coding 10x more efficient by giving you validated blueprints instead of vague ideas.

Q: What if my idea gets "No-Go"? A: That's a win—you saved 3-6 months and $10,000+ by discovering early it wouldn't work. Validate your next idea in 4 hours.

Stop Building Blindly

Without MACE: Build fast in the wrong direction. Realize 3 months later nobody wants it.

With MACE: Validate in 3 days. Build with confidence. Know you're solving a real problem people will pay for.

You don't need another prompting course.

You need the strategic validation layer that sits before vibe coding.

You need Phase 0.

Get MACE Lite Founder 4.0

Complete Bundle - €29.90

✅ 4 comprehensive guides (60+ pages) 

✅ 4-agent prompt pack (ready to use) 

✅ 2 videos + 1 audio (multi-format learning) 

✅ Real case study (unredacted prompts included) 

✅ Interactive NotebookLM (bonus) 

✅ Lifetime access + updates 

✅ 30-day money-back guarantee

[BUY NOW - €29.90]

Build smart. Build validated. Build with MACE.

MACE (Manual Agentic Context Engineering) is an independent adaptation of ACE principles (arXiv:2510.04618) for non-technical founders. Not affiliated with or endorsed by the original ACE research authors.