Prevent Autonomous AI Agent Mistakes
Deploy 0.07ms execution governance boundaries for LangChain, AutoGen, and CrewAI.
Blog & Research Catalog
Engineering research, security post-mortems, and economics playbooks for governing AI agent execution.
What Is AI Execution Governance? A 5-Minute Guide for Business Leaders
Why prompt filters fail in production and how deterministic execution boundaries prevent autonomous AI from making catastrophic data loss or billing mistakes.
The Hidden Inflation of AI: Why Model Collapse Is a Business Risk
Examines degrading economics and operational risks of recursive AI model training on enterprise margin. Exogram provides ground truth verification.
GitHub Copilot Is Generating More Code Than Your Team Can Review: Why Senior Engineers Are Now the Bottleneck
Identifies the review capacity crunch created when AI code generation outpaces senior engineering verification velocity. Exogram automates execution governance.
Fable 5 vs. GPT-5: Comparing Frontier Reasoning Paradigms
Compares deterministic versus probabilistic reasoning architectures for enterprise execution. Exogram provides sub-millisecond execution control.
Most AI Projects Just Burn Cash. Here’s How to Make Them Profitable.
Calculates the AI Volatility Tax and provides formulas for establishing positive inference unit economics. Exogram cuts token spend by up to 50%.
In the Vibe Coding Era, What Does a Software Engineer Even Do?
Defines the 4 Laws of Probabilistic Software Development and the shift from code authoring to system verification. Exogram automates runtime execution governance.
The AI Product Business Test: 5 Questions Before You Ship
Diagnostic evaluation to audit whether an AI feature has viable gross margin potential before deployment. Exogram optimizes AI unit economics.
AI Unit Economics: Burn Rate and Technical Insolvency
Formulas for modeling when API costs cross gross margin contribution thresholds into technical insolvency. Exogram cuts token spend by up to 50%.
Generative AI Margin Squeeze & SaaS COGS
Examines infrastructure shifting into variable COGS and gross margin compression in SaaS platforms. Exogram offloads tasks to restore margins.
Token Burn Analytics: Real-Time LLM Cost Allocation
Per-tenant token tracking architectures to attribute inference expenses directly to customer subscriptions. Exogram enables precise cost accounting.
Zombie Code Remediation: Reclaiming 30% R&D Efficiency
Prunes dead code paths and un-governed AI integrations to reclaim 30% engineering capacity. Exogram provides static and runtime audit tools.
Salesforce and SAP are putting AI agents inside your workflows. Who tells them no?
Enterprise SaaS providers are embedding autonomous AI agents directly into transactional workflows with authority to issue refunds, alter contract terms, and spend corporate capital.
How to Stop Unauthorized AI Agent Database Actions
Why probabilistic system prompts fail when AI agents execute direct database operations, and how to install sub-5ms binary proxy gates to prevent unauthorized state mutations.
Why Redundant Requests Are Driving Hidden AI Costs
Details the cost impact of un-cached duplicate inference requests and introduces semantic caching mechanisms at the edge perimeter.
Is Anything Standing Between Your AI Agent and Your Database?
Examines the execution layer vulnerability where autonomous agents possess direct database write credentials without proxy gates.
The Moment Your AI Starts Taking Actions, the Rules Change
When AI models transition from read-only text generation to taking autonomous actions across enterprise APIs, real-time execution boundaries are required.
AI Agents Won’t Crash the Economy. Bad Governance Might.
Analytic review of agentic macro-economics, systemic risk, and the necessity of governance for autonomous AI systems.
Your Claude API Bill Is Higher Than Your Revenue: Why Simple Python Tasks Are Blowing Up AI Costs
Analyzes model-task mismatch where frontier LLMs are misallocated to low-complexity tasks, destroying SaaS unit economics.
The 10-Man Parity Rule: When AI Adoption Accelerates Faster Than Organizations Can See
Documents the threshold where AI tooling enables 10-person engineering teams to match output of 50-person teams, compressing hiring economics.
Autonomous AI Agent Governed Autonomy Architecture
Blueprint for separating probabilistic inference from deterministic action execution across enterprise multi-agent systems.
The Architecture of Runtime Governance
Technical specification for state integrity checks, admissibility gates, and cryptographic audit ledgers in autonomous AI agent systems.
Why I Built Exogram: Reasoning is Not Infrastructure
A personal essay by founder Richard Ewing on why autonomous AI agents need deterministic governance boundaries, not stacked uncertainty.
Why LLM-Based Guardrails Will Always Fail: The Guardrail DoS Problem
Security researchers proved that poisoned documents can trap LLM-based guardrails in 148x slowdown thinking loops. Why deterministic governance is the only fix.
Vibe Coding Debt: The Silent Killer of AI-Native Startups
Coined the term Vibe Coding Debt to describe how developers accepting AI code without architectural comprehension create exponential maintenance liabilities.
Discovering Shadow AI Agents in Enterprise API Gateways
Audit tactics for uncovering un-sanctioned autonomous tools executing against internal database endpoints.
How to Stop LLM Unauthorized Executions in Production
Why RAG and prompt engineering fail to prevent destructive tool calls—and the infrastructure required to actually fix it.
Prompt Injection Defense: Why LLM-as-a-Judge Guardrails Fail
Demonstrates the vulnerability of using probabilistic models to police probabilistic models, and why deterministic binary gates are mandatory.
State Integrity Hashing Specification for Multi-Agent Systems
Cryptographic hash checking protocols between agentic decision steps. Prevent circular graph loops and context drift across multi-agent teams.
The SLM Repatriation Guide: When to Stop Using OpenAI APIs
Financial breakeven analysis for migrating from commercial API endpoints to fine-tuned local small language models.
Semantic Caching Playbook for Enterprise LLMs
Vector similarity thresholding strategies to reduce redundant inference queries by 40-60% while maintaining accuracy.
Your AI Agent Needs a Kill Switch
Binary execution control layers and state integrity hashing to contain rogue agent behavior and prevent uncontrolled loop cost overruns.
The Subprime Code Crisis
Draws parallels between 2008 financial derivatives and unverified AI-generated code accumulating in enterprise repositories.
More Memory Creates Clutter: Why 1M-Token Context Windows Break AI Agents
Giving an AI agent a massive unformatted context window creates informational clutter; performance requires database-managed structured filing.
Claude Search Fails: Why Prompting Kills Adoption
Why relying purely on prompt instructions for search tools causes enterprise adoption to plummet, and how tool execution boundaries solve user friction.
How to Prevent Memory Loss in AI Applications
Stop AI context decay and errors using a 3-tier memory structure, organized state summaries, and database state separation.
Inside the First Autonomous AI Agent Security Breach
A forensic post-mortem analysis of memory poisoning and unauthorized tool execution in production AI agents, and how proxy gates prevent state corruption.
Architecting Deterministic Security Gates for AI Agents
Implementation specifications for binary admissibility gates in autonomous agent execution pipelines. Intercept unauthorized tool calls in 0.07ms.
LangChain Enterprise Security: Orchestration vs Governance
Why LangChain agent orchestration requires an execution boundary layer to prevent unauthorized tool execution and double-spends in production.
CrewAI vs AutoGen for Production: Multi-Agent Governance
A deep-dive architectural comparison between CrewAI role-based agents and AutoGen conversational swarms when deployed in production.
Enterprise Compliance for AI Agents (SOC2 & EU AI Act)
How to build tamper-proof cryptographic audit trails and state ledgers for autonomous AI agents to satisfy enterprise SOC2, HIPAA, and EU AI Act mandates.
Preventing LangChain Prompt Injections at the Execution Perimeter
How indirect prompt injections hijack LangChain tool calls and why sub-0.07ms deterministic policy gates stop unauthorized database mutations.
Securing Model Context Protocol (MCP) Tools in Production
Hardening Claude Desktop and MCP tool servers against prompt injection, privilege escalation, and rogue local script execution.
AI Agent Financial Guardrails: Preventing Double-Spends & Overruns
How network retries and LLM hallucinations cause duplicate billing transactions, and how cryptographic idempotency locks stop financial fraud.
Why Autonomous AI Systems Require Zero-Trust Execution
Rethinking traditional network perimeter security for non-human AI agents with write access to cloud databases and internal APIs.
The Verification Penalty: Why Human-in-the-Loop AI is a Bridge to Nowhere
The hidden labor cost of human-in-the-loop AI systems. Why advisory AI fails to deliver workflow automation ROI and how to achieve safe autonomous execution.
Ready to Govern Your Autonomous AI?
Stop prompt injection and unauthorized API mutations before tool calls execute.