... correct your agent's output because you don't trust the first draft. Do the same for your own state. A five-minute end-of-day check, what actually happened, what I made up, what I'll do tomorrow, catches the spiral before it compounds, the same way a code review catches

... Before opening a PR, I started pasting my code into Claude for a quick review first, just to catch anything obvious before it goes to the lead. A few times it caught things clearly worth fixing: a missed null case, a variable name that didn't match the rest of the file's convention, a catch

... allowed to do. Then the handler credited the customer twice. Why it slipped through The bug wasn't on any line. It was the assumption between the lines: every event arrives exactly once. Reading the diff can't catch that. My tests didn't either. I wrote the fixtures, so I never thought to send the same event twice. My assumptions were just checking my assumptions. What actually caught it Running the failure. Deliver the event, deliver it again, watch ... ... those events ran through, you need a second source of truth that didn't touch your code. balance transactions are a good one. straight answer on the replay: today it's back-to-back redelivery, the retry storm, which catches

... were individually permitted, correctly permitted, and wrong in aggregate, and an approval layer tuned perfectly still produces your Friday. Approval is a control on discrete acts. Drift is about aggregates, and there is no per call decision that catches it. What catches

... more confident than a month ago. What we shipped? Five integrations now recognize the bugs people actually hit and prove the fix with a real before/after: Stripe, Paddle, Clerk, AgentMail, Descope. Not "we support the API," but "we catch the specific way it breaks." Chaos-order proof for billing webhooks. One of you asked whether we could prove a Paddle subscription survives webhooks arriving in any order. We built it, and then went deeper, to the failure devs actually fear ... ... take on faith. Why we're confident (the part that matters)? We tested recognition against real developer questions, harvested from GitHub/Stack Overflow, phrased by strangers, not us. When recognition was thin, the numbers said so (one integration went from catching

... Unity 6 pipelines. If you've shipped a game, you know the pain: naming conventions drift, LODs get misconfigured, code reviews miss the same engine-specific mistakes over and over, and performance regressions sneak in until QA catches them. ShintTools catches

... retries, stale state), grab the receipt url, drop it in the PR. review stops being "looks good, merge" and starts being "here's the run that shows the async path actually held." either way, tell me: what did it catch for you, and what would make it something you can't ship without? reply here or tell me straight, good or bad. i want the real signal. to stay honest like i tried to be all thread: i answered every ... ... loop instead of being bolted on after. And extending Gal's stale-state question: the nastiest cases aren't "stale," they're ordering a refund landing before its capture, a succeeded arriving after a cancel. Schema inference won't catch

... Product Hunt We re building CatchDex, a private collection game for anglers who already take catch photos but want something more useful and fun than a camera roll. The idea is simple: Log a real catch

... Product Hunt We re building CatchDex, a private collection game for anglers who already take catch photos but want something more useful and fun than a camera roll. The idea is simple: Log a real catch

... verified AI disclosure. others will not. over time the receipts with agent transparency outperform on credibility because the alternative (resumes claiming pure human work that we all know used AI) has already lost its signal. the platform does not force the choice. it lets the market price it. Comment from Mustafa Arian(@thenameisarian): TAM Network. an AI-native alternative

... feels a little strange. Comment from Brett Axler(@brett_axler): Claude VS Code / Cursor Gemini Gmail Wispr Flow Comment from Valentine Zubkov(@valzubkov): My 5: 1. Xcode, Zed, Terminal for software development 2. Figma, Final Cut, Ableton for design, video & music production 3. Codex for agentic workflows 4. Gmail, Telegram for communication 5. tinypad for bookmarks & links Comment from Raj Nagulapalle(@rnagulapalle): Here are mine: 1/RawReply, catching

... agent decides to step outside the fence mid-run. Catching it at the decision costs one ping. Catching

... been building agents for a while and kept hitting the same problem. fix a failure, change the prompt or model, same failure comes back quietly. nobody catches it until a user does. built replayd to solve this. captures failed agent runs as regression tests and replays them before you deploy. if the same failure returns after a prompt, model, or tool change, it catches

... something different to us than to it. The teams winning with AI aren't the ones with perfect prompts. They're the ones who put a human in the loop at the right spot. Not reviewing every line. Just catching the assumptions before they become production problems. What's your review workflow look like? Where does the human sit? Comment from Gabe Perez(@gabe): Did you break out Claude into different agents/subagents (or chats) to handle different tasks ... ... will need to put in for a desired customer satisfaction, just that in this case we are our own customers, in other words, how many human hours are needed for a 92% confidence that nothing is gona break vs

... many found they were invisible. But here's what scared me more: Of those who WERE visible, 43% had incorrect information in AI answers. Not "suboptimal." Not "could be better." Wrong. Outdated pricing. Missing features. Wrong founder bios. Competitors credited for your work. And the average error sticks around for 4 6 months . Today, I'm sharing the full dataset: 1,000+ SaaS products, 75,000+ AI answers, and the hard truth about what's being said about you when ... ... analyzed 50 brands that discovered errors and tracked the impact. Error Type Average Revenue Impact Pricing error (higher than actual) 47,000 Pricing error (lower than actual) 23,000 (leakage) Missing critical feature 38,000 Wrong positioning (enterprise vs

... your narrative. What You Can Control But you're not helpless. Here's what works: 1. Monitor constantly You can't fix what you can't see. Daily tracking of AI answers across platforms is the only way to catch errors early. 2. Update aggressively AI favors recent content. Pages updated within 90 days are cited 2.3x more often and more likely to reflect current truth. 3. Create authoritative sources AI learns from patterns. If your site consistently says ... ... responses correctly cited their SOC2 status. Time to full recovery: 3 months Cost of lost deals during recovery: ~ 400k The Opportunity Hidden in the Risk Here's the contrarian take: If you're monitoring AI answers while competitors

... Product Hunt! I m the Project Lead for Lensmor . We ve all been there: You have a folder full of competitor screenshots or a spreadsheet of pricing changes. But the tricky part isn t collecting the data it s knowing what to do with it (and doing it fast enough to matter). That s why we are building Lensmor. It s the first AI agent that doesn't just alert you to competitor