Agents & AI Engineering
AI engineering is making a model do the same correct thing twice: orchestration, evaluation, and the failure modes that appear once an agent has permissions. Heavy emphasis on security, because an agent that can act is an agent that can be exploited.
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AI Reliability: How to Know Your AI Actually Works
AI reliability means proving your AI feature works — not hoping. The four quiet failure surfaces, deterministic checks, and how to gate every release.
Sep 28, 2026 · 9 min read
RAG Evaluation: How to Grade Your Retrieval
RAG evaluation in plain English: why retrieval feels right but pulls wrong chunks, precision and recall explained, gold sets, and grading it in CI.
Sep 28, 2026 · 8 min read
Model Deprecation: When the Model Changes Under You
Model deprecation breaks AI features nobody touched. What changes when a provider retires or updates a model, and how to find out before your users do.
Sep 28, 2026 · 8 min read
AI Agent Reliability: Catch Quiet Failures
AI agent reliability is about the failures you don't see: happy-path passes, quiet drift, wrong tool calls. What to monitor and how to catch them early.
Sep 28, 2026 · 8 min read
LLM Evaluation: How to Test AI Outputs
LLM evaluation, step by step: what an eval is, how to build a test set, and how eval-driven development replaces "it looked good" with a real verdict.
Sep 28, 2026 · 8 min read
Jev AI Explained: The New Model Changing Automation
Jev AI is TypeSafe's first System One model. It returns typed decisions, not prose. What it does, what it costs, and the two claims worth checking.
Sep 20, 2026 · 10 min read
How Jev AI Works: System One Models and RLCD
How Jev AI works: state in, typed decisions out, evaluated in parallel. The three primitives, the real context budget, and what RLCD does and doesn't prove.
Sep 20, 2026 · 7 min read
How to Set Up Jev AI With Claude Code, Cursor & Codex
Jev AI setup, step by step: install the official TypeSafe skill in Claude Code, Cursor or Codex, add your key safely, and build your first typed decision.
Sep 20, 2026 · 7 min read
Jev AI vs LLMs: Speed, Cost, Limits and Best Uses
Jev AI vs LLMs is the wrong contest. Where a decision model wins, where a language model still has to do the work, and the arithmetic at a million calls.
Sep 20, 2026 · 6 min read
When Not to Trust Jev: 9 Documented Failure Modes
Jev AI limits, from TypeSafe's own documentation: nine published failure modes, what each one breaks, and the calibration figure nobody has released yet.
Sep 20, 2026 · 7 min read
DeepSeek V4.1 Flash Changes the Economics of AI Agents
DeepSeek V4.1 Flash runs agent work for $0.15 in and $0.60 out per million tokens off-peak. What the benchmarks show and what it means for your costs.
Sep 11, 2026 · 10 min read
DeepSeek V4.1 Flash Pricing: What a Task Really Costs
DeepSeek V4.1 Flash pricing is $0.15/$0.60 per million tokens off-peak, and US business hours are off-peak. The per-task math, retries and review included.
Sep 11, 2026 · 6 min read
DeepSeek V4.1 Flash vs Opus 5: Where It Wins and Loses
DeepSeek V4.1 Flash vs Opus 5 and GPT-5.6 Sol on 19 vendor benchmarks: it wins older agent tests and trails the newest, hardest ones. The full table.
Sep 11, 2026 · 6 min read
Always-On AI Agents: Cheap Tokens Still Run Away
Always-on AI agents got cheap with DeepSeek V4.1 Flash, but cheap per token is not capped per month. How to run agents all day without an open-ended bill.
Sep 11, 2026 · 6 min read
Is DeepSeek V4.1 Flash Safe for Business Data?
DeepSeek V4.1 Flash data privacy: DeepSeek's privacy policy says it stores personal data in China. What open weights change, and four questions to ask first.
Sep 11, 2026 · 6 min read
Agentic AI Security: Securing Autonomous Agents
Agentic AI security means gating an agent's four attack surfaces — install, input, memory, and credentials — before you trust it in production.
Sep 1, 2026 · 7 min read
Prompt Injection: What It Is and How to Stop It
Prompt injection hides malicious instructions inside content an AI agent reads. Learn direct vs. indirect prompt injection and how to gate the kill-chain.
Sep 1, 2026 · 5 min read
MCP Security: How to Vet a Server Before You Install It
MCP security means grading a Model Context Protocol server or agent skill before you trust it. Here's what to check before you install — and why.
Sep 1, 2026 · 5 min read
Non-Human Identity Security: Securing AI Credentials
Non-human identity security means grading the API keys, tokens, and service accounts an AI agent runs on. Here's why NHI is the credential attack surface.
Sep 1, 2026 · 6 min read
AI Agent Memory Poisoning: The Silent Persistence Risk
AI agent memory poisoning writes false data into an agent's memory or RAG store so it's recalled as truth in every future session. Here's how it works.
Sep 1, 2026 · 5 min read
AI Workflows for B2B Teams: 5 to Run Now
AI workflows for B2B teams: run CRM updates, lead scoring, churn detection, handoffs, and forecasting to improve revenue execution.
Jul 8, 2026 · 12 min read
Claude Tag: AI Teammate or Trojan Horse?
Claude Tag brings AI into Slack as a shared teammate. Learn the upside, risks, governance issues, and why founders should own their context layer.
Jun 26, 2026 · 12 min read
Zero Trust for AI: Stop Deepfakes & Poisoned Data
Learn how zero trust for AI helps businesses defend against deepfakes, data poisoning, AI supply chain compromise, and over-permissioned agents.
Jun 22, 2026 · 9 min read
Autonomous SOC: AI Security Operations in 2026
Learn how to use an autonomous SOC AI security operations to replace manual triage, reduce alert fatigue, contain threats faster, and free analysts to hunt.
Jun 17, 2026 · 9 min read