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Each /slop Is a Calibration Signal — AI-SLOP Detector v3.6.0 and the Claude Code Skill
Reasoning / Verification Engines

Each /slop Is a Calibration Signal — AI-SLOP Detector v3.6.0 and the Claude Code Skill

Every /slop invocation records to a project-scoped history. After 10 re-scanned files, bounded self-calibration adjusts detection weights for your codebase. Here is the mechanism, the data, and what actually shipped in v3.6.0.

Inference quality, validation, and proof surfaces#AI#AGI#AI Alignment#Deep Learning#Machine Learning#Prompt Engineering#Product Management#Software Development#AI Code#Architecture#Data Orchestration#Code Review
AI-SLOP Detector v3.5.0 — Every Claim, Verified Against Source Code
Reasoning / Verification Engines

AI-SLOP Detector v3.5.0 — Every Claim, Verified Against Source Code

AI-SLOP Detector v3.5.0 made 7 claims on LinkedIn —self-calibration logic, download numbers, defect detection. Here's every claim verified against actual file paths and line numbers. The code speaks for itself.

Inference quality, validation, and proof surfaces
Can AI Review Physics? Yes — That Is Why We Built SPAR
Reasoning / Verification Engines

Can AI Review Physics? Yes — That Is Why We Built SPAR

SPAR is a deterministic framework for claim-aware review: checking whether an output deserves the claim attached to it.

Inference quality, validation, and proof surfaces#AI#AGI#AI Alignment#AI Governance#Deep Learning#Machine Learning#Cognitive Science#AI Research#Scientific Integrity#Software Development#AI Code#Contextengineering#Architecture#Data Orchestration
I Built an Ecosystem of 46 AI-Assisted Repos. Then I Realized It Might Be Eating Itself.
Reasoning / Verification Engines
Governed Reasoning

I Built an Ecosystem of 46 AI-Assisted Repos. Then I Realized It Might Be Eating Itself.

An ecosystem of 46 AI-assisted repos can become a closed loop. This article explores structural blind spots, self-validating toolchains, and the need for external validators to create intentional friction.

Inference quality, validation, and proof surfaces#AI#AGI#AI Ethics#AI Alignment#AI Governance#AI Hallucination#Mlops#Machine Learning#Deep Learning#SR9/DI2#Cognitive Science#Scientific Integrity#AI Research#Software Development#Business Strategy#Security#Architecture#Contextengineering#AI Code
Why Reasoning Models Die in Production (and the Test Harness I Ship Now)
Reasoning / Verification Engines
Governed Reasoning

Why Reasoning Models Die in Production (and the Test Harness I Ship Now)

Project note, essay, or technical log from the Flamehaven writing archive.

Inference quality, validation, and proof surfaces#AI#AGI#AI Ethics#AI Alignment#AI Governance#AI Hallucination#Mlops#Machine Learning#Deep Learning#SR9/DI2#Software Development#AI Code#Contextengineering#Architecture
Implementing "Refusal-First" RAG: Why We Architected Our AI to Say 'I Don't Know'
Reasoning / Verification Engines
Governed Reasoning

Implementing "Refusal-First" RAG: Why We Architected Our AI to Say 'I Don't Know'

Implementing refusal-first RAG means teaching AI to say “I don’t know.” This article explains evidence atomization, Slop Gates, and grounding checks that favor verifiable answers over plausible hallucinations.

Inference quality, validation, and proof surfaces#AI#AGI#AI Alignment#AI Governance#AI Hallucination#Mlops#Machine Learning#Deep Learning#SR9/DI2#Cognitive Science#Security#Architecture#Contextengineering
LOGOS LawBinder: From Governed Reasoning to Audit-Grade Execution
AI Governance Systems
Governed Reasoning

LOGOS LawBinder: From Governed Reasoning to Audit-Grade Execution

This article explains how LOGOS v1.4.1 improves production AI reasoning with multi-engine orchestration, complexity-aware governance, and audit-friendly failure tracing.

Control, auditability, and safe boundaries#AI#AGI#AI Ethics#AI Alignment#AI Governance#AI Hallucination#Mlops#SR9/DI2#Cognitive Science#Machine Learning#Deep Learning#Contextengineering#Architecture#Software Development#Prompt Engineering
LOGOS v1.4.1: Building Multi-Engine AI Reasoning You Can Actually Trust
Cloud & Engineering Foundations
Governed Reasoning

LOGOS v1.4.1: Building Multi-Engine AI Reasoning You Can Actually Trust

LOGOS v1.4.1 is a multi-engine AI reasoning orchestrator that enforces consensus, traces failures, and applies governance profiles to reduce drift and make production reasoning more trustworthy.

Operational surfaces that survive real deployment#AI#AGI#AI Ethics#AI Alignment#AI Governance#AI Hallucination#Deep Learning#Machine Learning#SR9/DI2#Cognitive Science#Architecture#Contextengineering#AI Code#Software Development#Prompt Engineering
LawBinder v1.3.0: Governance as a Kernel (Not a Guardrail)
AI Governance Systems
Governed Reasoning

LawBinder v1.3.0: Governance as a Kernel (Not a Guardrail)

LawBinder v1.3.0 shows how AI governance can run like a kernel, using deterministic Rust-based enforcement, replayable audit signatures, and bounded-latency policy checks in the critical path.

Control, auditability, and safe boundaries#AI#AGI#AI Alignment#AI Hallucination#AI Governance#LLM#Deep Learning#Machine Learning#SR9/DI2#AI Code#Architecture#Contextengineering
HRPO-X v1.0.1: from HRPO paper production-hardened runnable code
Reasoning / Verification Engines
Governed Reasoning

HRPO-X v1.0.1: from HRPO paper production-hardened runnable code

Project note, essay, or technical log from the Flamehaven writing archive.

Inference quality, validation, and proof surfaces#Mlops#AI#AGI#AI Ethics#AI Alignment#AI Governance#AI Hallucination#Contextengineering#AI Code#Architecture#Software Development#Prompt Engineering#SR9/DI2#Cognitive Science
Turning a Research Paper into a Runnable System
AI Governance Systems
Governed Reasoning

Turning a Research Paper into a Runnable System

Turn a research paper into a runnable system. This article shows how HRPO’s core equations were implemented with bounded policy lag, KL rejection, and execution checks to test real-world fidelity.

Control, auditability, and safe boundaries#AI#AI Ethics#AI Alignment#AI Governance#Deep Learning#Machine Learning#SR9/DI2#AI Research#Scientific Integrity#AI Code#Architecture#Contextengineering
🧠 Why Your 128K Context Still Fails — And How CRoM Fixes It
Reasoning / Verification Engines

🧠 Why Your 128K Context Still Fails — And How CRoM Fixes It

Most large language models fail in long prompts due to context rot. CRoM is a lightweight framework that improves memory, reasoning, and stability without heavy pipelines.

Inference quality, validation, and proof surfaces#AI#AGI#AI Alignment#AI Governance#Future of Work#Deep Learning#LLM#Machine Learning#Prompt Engineering#Cognitive Science

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