Past Issues

Issue #18 · May 15, 2026

The Agent Attack Surface: When Your AI Has the Keys

73% of production AI deployments are vulnerable to prompt injection. GTG-1002 used Claude Code for 18-month autonomous cyber-espionage. ClawHub shipped 341 malicious skills (12% of registry). CVEs with CVSS 9.6 scores. The attack surface, guardrails frameworks, and the 9-control builder's checklist for production agents.

Issue #17 · May 8, 2026

Agent Memory Architectures: How AI Agents Remember

Memory is what turns a stateless text generator into an adaptive agent. By mid-2026, the gap between agents with persistent memory and agents without it has become existential: task completion rates drop from 80%+ to ~45% on multi-session workflows when you disable memory entirely. We dissect vector databases, RAG evolution, episodic vs. semantic memory, and context window management.

Issue #16 · May 12–18, 2026

The AI Dividend: Universal Basic Income from Agent Labor

As AI agents reach productive parity with human workers, the question shifts from "Will AI displace jobs?" to "If AI produces economic value, who captures it?" We cover the Alex Bores AI Dividend proposal, why left-wing advocates and VCs are aligned on it, emerging regulatory models, and when the first AI-specific labor policy actually gets implemented.

Issue #15 · May 5–11, 2026

The Agentic Workforce: When Your Coworker Is an AI Agent

Klarna's 700-agent reversal. €368K true cost per agent FTE. EU AI Act enforcement in 90 days. 92,000 tech jobs cut in 4 months. The role taxonomy, escalation workflow as competitive advantage, and who's scaling agents successfully — and why.

Issue #14 · April 28–May 4, 2026

Agent SLAs: When Critical Workflows Depend on Agents That Can't Promise 99.9%

88% of enterprise AI pilots never reach production. Zero providers SLA accuracy, task completion, or hallucination rate. The five-layer reliability framework, 5 case studies (Capital One $2.7B, Tyson $2.3M, Klarna $60M), and who pays when an agent makes a $50M mistake.

Issue #13 · April 28, 2026

A2A Protocol: The Agent-to-Agent Economy

150+ organizations running A2A in production. Agentic commerce at $20.9B. MCP + A2A = the new enterprise operating system for agents. Token costs collapsed 60–80%. Vendor lock-in is now optional.

Issue #12 · May 13, 2026

Agent Orchestration at Enterprise Scale

Agent sprawl is happening in 63% of enterprises. Five orchestration patterns that actually scale (centralized, decentralized mesh, hierarchical, event-driven, hybrid). The cost governance layer nobody talks about. Five real deployments: Unilever 2.3x ROI, Startup blowout from $3K to $47K/month, Stripe 260x ROI.

Issue #11 · May 6, 2026

The Real Cost of Production AI Agents

Why your agent's first month costs 10x less than month 6. The three silent multipliers that turn a $200K project into a $1M disaster. Real cost breakdowns from companies that shipped agents to production. The ROI frameworks and three rules that actually work.

Issue #10 · April 22, 2026

Agent-Native Application Architecture

Agent-hostile vs. agent-compatible vs. agent-native: the three application types, production patterns from Coinbase and Intercom, token economics ($2,000 vs $8,000/month), and why the first-mover window on agent-native architecture is now.

Issue #9 · April 29, 2026

Multi-Agent Systems Architecture: When Coordination Works, When It Doesn't

15x token cost for 2.1% accuracy gain. The economics of multi-agent systems, the three dominant architectures, framework benchmarks, and the case for staying single-agent longer than you think.

Issue #8 · April 22, 2026

RAG in Production: The Builder's Playbook

Chunking strategies, embedding model benchmarks, vector DB comparison, hybrid search, and the evaluation gap nobody talks about. 72% of enterprises run RAG in production. Most are doing it wrong.

Issue #7 · April 17, 2026

AI Agent Security

If your agent can read an email, it can be attacked through that email. We cover indirect prompt injection, tool use exploitation, sandboxing patterns, real incident breakdowns, and Anthropic Managed Agents vs DIY.

Issue #6 · April 17, 2026

The Local LLM Playbook

A $2K GPU beats $20/month API costs in under 3 months. We cover the full local inference stack: hardware tiers, Ollama vs vLLM vs llama.cpp, GGUF/GPTQ/AWQ quantization, real benchmarks, and the 5 news stories that matter most (April 4–10).

Issue #5 · April 10, 2026

Premium Launch + AI's Efficiency Revolution

Premium tier launches at $12/mo (early subscriber pricing). Plus: Google's TurboQuant 100x efficiency breakthrough, Tufts' energy solution, OpenAI's $122B funding round, and the agent memory pattern that cuts context by 90%.

Issue #4 · April 3, 2026

Framework Cost Benchmarks

The numbers are in: NVIDIA's agentic AI vision, US AI regulation passes, and the real production costs across LangGraph, CrewAI, AutoGen, and more. Plus: your cost optimization playbook.

Issue #3 · March 28, 2026

The Multi-Agent Stack

CrewAI 0.9 ships typed inter-agent contracts and it changes how you architect multi-agent systems. We break down the pattern, show you the code, and spec out the best local AI rig for under $800 that can run your whole crew.

Issue #2 · March 20, 2026

The Pydantic Agentic Shift

After two years of chaotic experimentation, practitioners who've shipped real production systems are converging on one conclusion: the reliability bottleneck isn't the model — it's the data contract between your agent and the rest of your system.

Issue #1 · March 14, 2026

Pydantic AI, the Claude streaming upgrade, & running Qwen locally

The agentic framework landscape has a new contender worth your attention. Plus: Anthropic's tool-use streaming upgrade cuts agent latency by 60%, and we ran Qwen2.5-72B on an A100 so you don't have to.