How to Verify Your Coding Agent Didn't Disable Monitoring: A 4-Point Audit
Check permissions, delegation prompts, diffs, and deployed monitoring before you trust a coding agent's self-report.
Agents
Automation and agents that actually ship work.
Test Claude dynamic workflows with planted bugs in your repo
Plant known defects, compare single-agent and workflow finds, and set a session budget before you enable Claude dynamic workflows.
Give every AI agent a token budget before it becomes a surprise invoice
Assign each AI agent a token tier, cap, alert threshold, and guardrails before it scales, so finance gets a budget instead of a surprise invoice.
How to build a failure map for an AI agent before you pilot it
Run the agent on full-workday tasks, grade every rubric criterion, and log misses by fact, file, decision, or deadline before you pilot.
Audit an Always-On Agent Before It Starts Working: Dots Access Check
Before an always-on agent starts working, audit what it can read while idle, how purchases are approved, and which plugin scopes it opens by default.
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Test your agent monitor before trusting a clean block log
A five-step failure check for coding-agent monitors: force a blocked operation, add a deadline, test retries, and compare model settings.
Score Your AI Agent on What It Learned, Not What It Knows
Build a repeatable AEI-style agent harness that tests declared access, safety, and learning persistence before you trust it with real work.
Score coding agents on private tasks, then price the harness
Run a small private-code scorecard, measure first-attempt success, and separate the harness cost from the model before you buy.
Run this AI agent permission audit to stop Unit 42-style breaches
Inventory each agent's reachable systems, scope its credentials, and flag standing tokens, repo secrets, and secrets-management access before they become an attack chain.
Run your own test battery before repointing agents to Atria Dawn
Use a fixed set of your own multi-step tasks, full trajectory logs, and a go/no-go threshold before swapping in a new agentic model.
Three-question check before moving agent state to a managed harness: OpenAI Agents API
Check state ownership, data terms, and cost/exit economics before moving agent sessions to a managed harness, using OpenAI's Agents API as the test case.
Audit agent logs: score results, re-run wider searches
A clean first pass is not proof of safety. Score observable actions and results, then re-audit archives with widened queries before trusting the result.
Check an Agent's Path to a Prisma/Supabase Database Wipe
A routine migration can empty production when an agent holds live credentials. Use a safe shadow database, a clean shell, and human consent.
Four permission checks that stop an AI agent from deleting production
An agent is safe in production only when it has scoped identity, sandboxed destructive actions, separate confirmation, and peer review as a gate.
Test AI Agent Memory on 100 Support Conversations
Build a fixed 100-conversation harness to score what an AI support agent recalls, forgets, and leaks before it meets customers.
Agent Eval Containment: Egress, Caches, Aborts
A containment checklist for agent evals: egress controls, shared-cache isolation, abort conditions, and verification probes that catch side channels.
Score AI coding agents with a Three.js scene
Use a constrained Three.js scene to score AI coding agents on shipped code, runtime behavior, edit count, cost, and failure modes.
How to audit AI-agent-generated code before you adopt it: the DoltLite test
Use DoltLite as a case study to audit AI-agent PRs: check upstream deltas, test divergence, storage churn, and baseline performance.
Test WPS Before Deploying an AI-Built Internal App
A five-question gate helps office teams separate a deployable AI-built app from a clever demo.
Decide if Antigravity’s /boost is worth the extra reasoning with a 5-point scorecard
Reserve /boost for paid-plan work where a single-turn pass is likely to miss a stated invariant; use a five-point gate to decide when the extra reasoning is justified.
Use This 5-Point Outlook-Down Test to See If Your AI Email Agent Can Keep Email Moving
If your AI email agent only works when the cloud is calm, it is a toy, not an outage workflow.
Run This Agent Attack Suite Before Production: Catch Prompt Injection, Memory Poisoning, and Context Drift
A pre-production agent security test should prove identity, tool scope, memory isolation, drift behavior, and kill path before gateway controls get credit.
Outlook Outage: Test Your AI Email Agent
Give your AI email agent only status-page and Downdetector text, visible mail, and a no-access constraint, then judge whether it cites sources, flags gaps, and gives next actions.