... they hit production Output is visible. Review quality isn t. What I built: Cleq a tool that connects to GitHub and tries to make this visible. Detects AI-assisted code in PRs Flags PRs that look risky before merge Guardian Board highlights reviewers who consistently catch issues (not just approve fast) PR Quality Board shows which PRs are well-reviewed vs

... expertise. Reusable Workflows Code review, debugging, implementation, testing which have built-in patterns you can run with a single command. Multi-Model Discussions Ask multiple AIs (Claude, Gemini, Codex, Grok) together and get a consensus result. Governance & Traceability Guard checks, audit trails, execution traces, and policy enforcement so you can trust what s generated. Persistent Memory Context is preserved across sessions so your assistant gets smarter over time. Real-Time Dashboard Monitor runs, providers, agent usage, and success metrics ... ... local UI. Why this matters: AutomatosX focuses on  orchestration , not chat. It plans tasks, routes work through agents and workflows, cross-checks outputs across models, and enforces guardrails

... much larger. Comment from Zypressen(@zypressen): Exactly. When it s your own money, you learn fast. But in a team? That surprise bill isn t just a cost it s a credibility hit . That s why guardrails like hard caps and auto-pause aren t nice-to-have they re non-negotiable for orgs . Comment from Dansaki Samuel(@dansaki_samuel): I m seeing more teams move toward a hybrid model rather than pure usage-based. A flat SaaS base helps ... ... difference from what I ve seen isn t the pricing model itself, but how visible and controllable usage feels (clear limits, alerts, and caps). When teams can t predict spend, churn follows quickly. Curious how you re thinking about guardrails

... sparked an interesting thought experiment: how likely is it that we ll see AGI (AI that thinks and learns like a human) within the next five years? The report highlights a fascinating divergence: the view from money vs. the view from science. Money : the probability inferred from trillions poured into data centers, Nvidia chips, and servers. Investors seem to be betting that AGI is inevitable. Science : the probability inferred from research papers and AI development models. Experts are far more ... ... might be ahead of reality. Expect volatility, overpromised outcomes, and valuable lessons along the way. Meanwhile, AI continues reshaping work, attention, and human behavior. I d love to hear the community s perspective: Are you seeing this money vs

... accuracy matters most tools that work great once, then forget everything I m here on Product Hunt to learn from other builders, share what we re discovering the hard way, and exchange notes on where AI is actually useful versus where it still needs guardrails

... comms. I started my career in tech PR when you had to call busy tech journalists and pitch your story - you learn fast how to be clear and succinct, or risk getting $hitposted on Twitter (true story, the Guardian tech correspondent once called my pitch the 'straw that broke the camels back' online...). Well, I learned the hard way and wrote a piece about it. I must have hit the algo as a few days later I got a really ... ... everything. If you re selling luxury in a downturn, you re not reading the room. Here s what a great cold pitch looks like for me right now: Hey Dan, saw you founded Meet-Ting. I assume your biggest competitor

... many emergencies, outcomes hinge on two things: someone knows you re in trouble and they know where you are . We ve shipped three pragmatic Android updates and would love the community s thoughts and real-world experiences: Reverse Guard pre-set Safe Areas / Ban Points ; when conditions are met instant alert . Multi-interval SafeGuard timing add multiple guard

... launched Contract Guard AI a tool that reads your rental or business contracts, highlights red flags, and explains every clause in plain English. It s like having a first-pass legal assistant that spots what most people miss hidden fees, vague terms, or missing protections. Upload a doc, get a clear risk score in seconds. Try it here https://contractguardai.blueoran... Comment from Zulma(@deleted-9052837): The plain language explanations are a game changer for non lawyers like ...

... earlier 4o model is a kind of hesitation when it comes to certain topics, be it macroeconomics, politics, or anything nuanced. It almost feels like GPT-5 is holding back. I get the need for guardrails (and for good reason), but sometimes it feels like it s afraid of getting misinterpreted, almost like a human. How many of you have noticed it? Are you still subscribed to the earlier models? Comment from Ashok Nayak(@ashok_nayak): @twinkal_shah1, does ... ... ashok_nayak): @d_ferencha, you are right Have you encountered some of its diplomatic replies which was not the case with GPT 4? Comment from Deniz Sert(@realdenizsert): Yes, I've noticed this. OpenAI seems to have put more guardrails

... Project X Incident Runbook while composing. * Scoped & read-only: Chips are TTL (time-to-live) bound, no auto write-back; your current project s memory stays clean. * Inline provenance: Replies show which chip informed which part. * Admin guardrails: Allow/deny lists, approvals, label-based redaction (PII/secrets), and audit logs. Why it helps * Cut repeat explanations across repos/teams. * Reuse proven auth/logging/CI/CD patterns instead of reinventing. * Faster onboarding by bridging Architecture + Conventions. * Safer incident response: pull the right runbook just for this ... ... into a new hire s first week. Open questions (feedback welcome!) * Security model: Is read-only + TTL + provenance enough? What else is mandatory? * UX: Where should chips live in the composer to avoid friction? * Policy defaults: Org opt-in vs

... cart right inside chat + clear funnel/AOV analytics. I d love your take on three things: Boundaries: where should an AI stop (e.g., add-to-cart ok, checkout no)? Trust signals: what proof would you need (copy, receipts, guardrails, undo)? Onboarding bar: if this took <10 minutes to connect, would you try it? If helpful, here s a 30 45s demo clip: LinkedIn demo link I ll reply to every comment today. If you run a Shopify/Woo store and want ... ... stops at add-to-cart; checkout is always human-approved but it can assist in filling the details if human approves it. Trust: instant mini-receipt in chat (item/price/size/returns) + undo window (e.g., 30 min) and an action log. Nudges vs

... land users on a 404. What Migma Email Preflight checks Migma s Preflight bundles multiple checks into one pass so you don t have to stitch tools together. - Link Validator Crawls every URL in the draft, reports 200 vs 404 responses, flags slow endpoints, and surfaces problematic redirects. - Brand Voice Guard

... built Alphalise because I was frustrated with spending hours analyzing trading data without getting clear, actionable insights. Over the years, I ve seen traders and investors waste valuable time bouncing between tools, trying to figure out patterns, strategies, and competitor moves that matter. Most analytics platforms just give you raw numbers or charts. They don t tell you what changed, why it matters, or how to act on it. Alphalise is the first AI-powered analytics platform that simplifies trading ... ... intelligence. Instead of drowning you in data, it delivers: Clear explanations of market moves Predictions based on your chosen timeframe Instant insights you can actually use To get started: Add your trading domain or asset Select timeframe and competitors

... started testing Watchflow s rule engine across some of the most active GitHub repositories: vscode langchain react pytorch kubernetes Only vscode

... verify it. Beyond QR Codes: Invisible and Secure While QR codes offer a basic layer of protection, they re often static and easily duplicated. Ennoventure s invisible digital signatures embedded directly into the packaging provide a secure, tamper-proof alternative impossible to copy and undetectable to counterfeiters. This invisible-by-design approach ensures protection without altering packaging aesthetics or requiring any design changes. Consumers as Guardians

... building SmartDial for outbound sales teams and shipping fast. Right now using Firebase, and it s getting tricky balancing speed with stability. Curious how do you manage staging vs prod environments when you re still validating and iterating weekly? Do you set both up properly from day one, or fake it until things stabilize? Comment from Abdellah Rolam(@rolambuilds): @new_user___1542025a3013bd22f1e340b  Good point and to clarify, it s not really faking. It s more about being scrappy early ... ... used the same environment with guardrails