How is the 10d Academy curriculum structured?

The curriculum is built on an Agent-Centric 3x3 Matrix structured around three engineering pillars: CORE (LLM reasoning & control loops), ACTION (MCP servers, tool calling & web actuators), and KNOWLEDGE (vector search, hybrid RAG & stateful Durable Objects) across Foundations (Free), Practitioner (Pro), and Mastery (Max) tiers.

What is the Model Context Protocol (MCP) and why is it taught here?

MCP is the open standard for connecting AI models to external tools, databases, and local systems. In Action Practitioner, engineers learn to build, secure, and deploy custom TypeScript and Python MCP servers for Claude, Cursor, and enterprise host applications.

How do 10d Academy pricing tiers work (Free, Pro, Max)?

Foundations tracks (Free tier) are open to all allowlisted developers with no credit card required. Practitioner ($3,000/seat) and Mastery ($5,000/seat) cohort seats include full access to production templates, LangSmith trajectory evals, LangGraph multi-agent swarms, and 100% fee-credit backing.

How does the 100% Fee-Credit Guarantee work?

Every dollar spent on paid 10d Academy cohort seats ($3.0k–$5.0k) is credited 100% toward future custom agent delivery or done-for-you consulting with 10d engineers within 12 months. Your education investment directly offsets future custom development.

What deliverables do PMs, Leaders, and Engineers receive?

PMs receive certified AI specification templates, Pydantic guardrail rubrics, and LangSmith evaluation frameworks. Engineers receive production LangGraph & MCP repositories, Cloudflare Durable Objects state templates, and the Certified 10d Agent Engineer Credential.

How does the waitlist and allowlist enrollment work?

To ensure high-quality cohort support, 10d Academy operates an allowlist mechanism. Developers request access with their email, and allowlisted users receive an instant OTP code to access the platform. Non-allowlisted users are queued for upcoming cohort openings.

How long does each 30-day track take per day?

Each track is structured for 15–20 minutes of daily hands-on building — combining interactive dialogue explanations, in-browser code execution, and quantitative evaluation rubrics across a 30-day blueprint.

How does 10d Academy differ from generic prompt engineering courses?

Generic courses teach static prompt wrappers. 10d Academy builds production agent engineering capabilities — teaching developers how to design ReAct loops, build MCP tool servers, implement BM25 + dense hybrid RAG, and deploy stateful multi-agent swarms.

Fact · ~6 minFact

Myth: AI Auditing Is an Unverifiable Black Box | Fact: 10d Delivers Deterministic Audit Trails

Think AI auditing is an opaque mystery? Discover how 10d produces clear, deterministic execution logs and mathematical proof traces for 100% auditability.

Myth: AI Auditing Is an Unverifiable Black Box | Fact: 10d Delivers Deterministic Audit Trails

Published by 10d Engineering • 6 min read • Category: Myths & Facts

❌ Myth

"Automated auditing systems are untrustworthy black boxes. If an automated system flags a transaction or approves an expense, nobody can explain how it came to that conclusion!"

✅ Fact

10d Audit Platform operates on 100% deterministic, step-by-step execution trails. Every single assessment generates a cryptographically verifiable proof record showing the exact rule, input payload, and decision logic applied!

🔮 The ELI5 Analogy: Magician's Hat vs. Clear Glass Clock

The Myth (Black Box): A magician pulling a rabbit out of a top hat. You have no idea where the rabbit came from or if there's a trap door! 🎩
The 10d Fact (Glass Clock): A clock made of clear glass. Every gear, lever, and tick is completely visible. You can trace every single movement back to the spring that started it! ⚙️

📊 Myth vs. Fact Breakdown

Aspect	Myth: Black Box Assumption 🌑	Fact: 10d Deterministic Engine ☀️
Traceability	Untraceable decision outputs	100% step-by-step execution lineage
Verification	"Trust us, it works"	Cryptographically signed JSON audit logs
Reproducibility	Answers change randomly	Re-executing same input produces 100% identical output
Regulatory Compliance	Fails external audit scrutiny	Exceeds SOC2, ISO27001, and SEC requirements

📜 Complete Step-by-Step Proof Trace

Every decision made by 10d produces a complete, human-readable proof trace:

json

{
  "auditId": "AUD-2026-88412",
  "timestamp": "2026-08-06T00:31:52Z",
  "ruleEvaluated": "RULE-FIN-OVER-50K-REQUIRES-VP-APPROVAL",
  "inputFact": { "amount": 75000, "approverRole": "Manager" },
  "logicExecution": "75000 > 50000 AND approverRole != 'VP'",
  "verdict": "NON_COMPLIANT_FLAGGED",
  "proofHash": "sha256:e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"
}

🚀 Key Takeaway: Don't let fear of "black boxes" hold back your enterprise. With 10d, automated auditing is more transparent and verifiable than manual human checks!

Myth Check Passed

Start Auditing Now

Next in Myths & Facts

Myth: Edge Auditing Sacrifices Security | Fact: 10d Operates Local-First AST Guardrails

Edge auditing doesn't mean exposing sensitive data. 10d local-first engine validates code and payload ASTs on-premise without data leakage.

Fact · ~6 minFact

Myth: AI Auditing Is an Unverifiable Black Box | Fact: 10d Delivers Deterministic Audit Trails

Think AI auditing is an opaque mystery? Discover how 10d produces clear, deterministic execution logs and mathematical proof traces for 100% auditability.

Myth: AI Auditing Is an Unverifiable Black Box | Fact: 10d Delivers Deterministic Audit Trails

Published by 10d Engineering • 6 min read • Category: Myths & Facts

❌ Myth

"Automated auditing systems are untrustworthy black boxes. If an automated system flags a transaction or approves an expense, nobody can explain how it came to that conclusion!"

✅ Fact

🔮 The ELI5 Analogy: Magician's Hat vs. Clear Glass Clock

The Myth (Black Box): A magician pulling a rabbit out of a top hat. You have no idea where the rabbit came from or if there's a trap door! 🎩
The 10d Fact (Glass Clock): A clock made of clear glass. Every gear, lever, and tick is completely visible. You can trace every single movement back to the spring that started it! ⚙️

📊 Myth vs. Fact Breakdown

Aspect	Myth: Black Box Assumption 🌑	Fact: 10d Deterministic Engine ☀️
Traceability	Untraceable decision outputs	100% step-by-step execution lineage
Verification	"Trust us, it works"	Cryptographically signed JSON audit logs
Reproducibility	Answers change randomly	Re-executing same input produces 100% identical output
Regulatory Compliance	Fails external audit scrutiny	Exceeds SOC2, ISO27001, and SEC requirements

📜 Complete Step-by-Step Proof Trace

Every decision made by 10d produces a complete, human-readable proof trace:

json

{
  "auditId": "AUD-2026-88412",
  "timestamp": "2026-08-06T00:31:52Z",
  "ruleEvaluated": "RULE-FIN-OVER-50K-REQUIRES-VP-APPROVAL",
  "inputFact": { "amount": 75000, "approverRole": "Manager" },
  "logicExecution": "75000 > 50000 AND approverRole != 'VP'",
  "verdict": "NON_COMPLIANT_FLAGGED",
  "proofHash": "sha256:e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"
}

🚀 Key Takeaway: Don't let fear of "black boxes" hold back your enterprise. With 10d, automated auditing is more transparent and verifiable than manual human checks!

Myth Check Passed

Start Auditing Now

Next in Myths & Facts

Myth: Edge Auditing Sacrifices Security | Fact: 10d Operates Local-First AST Guardrails

Edge auditing doesn't mean exposing sensitive data. 10d local-first engine validates code and payload ASTs on-premise without data leakage.

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