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... caller turn by turn. So enable_language_lock is now a config flag. When it's on, an explicit request switches and locks, and only another explicit request unlocks. When it's off, the agent follows the caller freely. 5. The agent's own system phrases were speaking the wrong language This one surprised us. Idle warnings, "are you there?" prompts, tool-filler announcements and end-call lines are spoken straight through TTS without the LLM. We found several ways ... ... agent says outside the LLM (warnings, hangups, announcements) is a second language path you also have to maintain. Log every switch decision. Our lock bug was only findable because we logged each one. Make the policy configurable. "Sticky" vs

... agent to research a competitor. You permit it to: Read public websites. Analyse information. Prepare a report. It cannot contact anyone, send emails, or make external commitments. It delegates part of the research to another agent, which delegates again to a third agent. The third agent has access to email. It finds a relevant person and decides that contacting them would help complete the task. Where exactly did that permission come from? The original user never granted it. The first ... ... follow the entire execution chain? Who is accountable when an agent acts several delegation steps away from the original instruction? Can we design delegation systems where capabilities are composable without letting authority expand silently? We want agents to delegate freely

... three months in beta completely free. The goal was simple: get people through the door, gather feedback, and build word-of-mouth. It worked. We were averaging about 150 new signups a week, and users were exploring every feature freely. Last Tuesday, we finally introduced our basic subscription plan ($12/mo). The result was immediate. Within 48 hours, our daily signup rate dropped from ~21 per day to just 8. We hit a brick wall. The most interesting part? People weren ...

... door. Word of mouth was great, signups were steady, and everyone seemed happy. But the week we finally introduced a basic subscription plan acquisition dropped so fast it felt like hitting a brick wall. People who used to experiment freely suddenly turned super skeptical the second credit cards got involved. For those who went through this how long did it take for your signup numbers to normalize after adding that initial price ...

... finally stay in Figma: Plane Warp : pin artwork onto any four-point surface. Screens, packaging, signage, done in seconds. Pin Warp : drop a few pins and bend layers naturally, like Puppet Warp. Liquify : push, pull, and nudge shapes freely when you want something more organic. Custom Mesh : grid-based distortion when you need control over every point. Batch processing : apply one transform across a whole stack of layers at once. Ultra quality export : crisp results you can confidently send ...

... hard to justify looking at fresh launches without people thinking you're just distracted or wasting time, even when you're genuinely looking for things to improve your team's stack. Curious how you all handle this do you freely browse out in the open or do you keep product hunting strictly for your personal time ...

... after reading through five product pages I feel more tired than when I started. Lately I've stopped casually browsing altogether. Curious how you all handle the overload do you stick to a strict routine here or just scroll freely? Comment from Thomas Jack, MBA(@thomas_jack4): I save a bunch of stuff and then forget I saved ...

... logs inside a controlled boundary. Isolated Previews & Execution: Let AI agents install dependencies, run build commands, and generate live previews without touching your primary infrastructure or breaking production. Human-in-the-Loop Safeguards: Let AI test and iterate freely in disposable sandboxes, but keep live production releases behind explicit human approval gates. I'm currently building this in public as a solo founder, actively tackling the hard engineering problems around optimizing build times, package caching, and preview environments ...

... building EzDSH as a solo maker. Looking for a growth co-builder for EzDSH making frontier AI accessible to everyone Mission Make technology accessible to everyone. Vision Turn frontier technology into capabilities that people can use directly, combine freely, and continuously grow with. What is EzDSH? EzDSH is a user-focused desktop distribution built around DeepSeek Harness. It is more than a desktop wrapper. EzDSH aims to bring runtime management, a plugin marketplace, remote operation, integrated workspaces, and repeatable workflows ...

... approval gates govern actions. The harder question is what an agent is allowed to decide while doing the work. We now give agents a mandate: the outcome, scope, rules, ownership, escalation points and evidence required. They can reason freely inside those boundaries. A workflow says what happens next. Governance says what the agent is allowed to decide. How are you defining that boundary today ...

... chat session, and multi-agent systems at roughly 15x. Parallel intelligence is something you buy. A deep audit of an unfamiliar codebase can be worth 15x. A typo fix can't. The rules we actually run by: delegate reads freely. Delegate verification deliberately a reviewer that didn't watch the code get written makes a better skeptic. Delegate writes only when the files split cleanly, one clone per directory, never two hands in one file. And write every delegation brief ...

... builders and even marketers can create their own prototypes using tools like lovable, replit, v0, etc. Current tools force their users to pay per-seat to share their work. I think users should be able to share their work freely, platforms should encourage sharing, and remove as much friction from process as possible - with limitations only regarding possible abuse of platform - and that users data is theirs to keep. Current tools sell AI as a paid premium ... ... analysis the whole e2e timeframe for actionable qualitative feedback could be compressed under one day, and with wider breadth. AI recruitment: I have been exploring ways to leverage AI agents to pool/recruit real users for testing, as an alternative

... Over the past few months, I've noticed that my building habits have changed. When I first started using AI development tools, I would experiment freely, iterate often, and explore different ideas. Now, I find myself thinking about credit usage before I send a prompt or try another approach. Instead of asking, "Is this the best solution?" , I sometimes catch myself asking, "Is this worth spending credits on?" I'm curious if other builders have experienced something similar ...

... emails, databases, customer accounts, and production tools. But the agent can do it is not the same as the agent should do it without asking. I ve found it useful to separate actions into three levels: 1. Observe freely Reading documents, checking analytics, identifying errors, or preparing recommendations. The agent can inspect and report, but cannot change anything. 2. Act within limits Updating a draft, tagging a support ticket, changing a small field, or performing an action below a predefined ...

... people getting comfortable, which you already said yourself. Does Pushary let the customer define that ladder, or is the destination something you configure for them? Comment from Aria(@ariajinling): I agree: degradation has to be an explicit, author-authored alternative, not a timeout-time improvisation. If an action has no degraded form, it needs a stronger escalation path or a shorter approval window. For partial work, I would preserve a compact execution ledger: completed steps, external effects, and the invariants ... ... instead of believing the completion message. Every gate described in this thread sits before the action. Nothing here checks afterwards whether the thing that claims to have happened actually did. Comment from Dale Mooney(@dalemooney): @aadilghani   The gate versus

... task, take steps, make decisions, and sometimes work across different apps. That sounds powerful, but it also creates a new problem: trust. If an agent needs too much checking, it becomes another thing to manage. If it acts too freely, it can feel risky. The useful middle ground is when it saves time but still keeps you in control. For me, an AI agent starts feeling useful when it handles the boring steps without making me nervous about the important ...

... chose to do. The second: the ask initially sat behind a paid surface, so the people most likely to be having a good time were the ones least able to be asked. Moving one of the two signals somewhere freely reachable mattered more than anything I did to the prompt itself. The part I'm still unsure about: I removed my own read on sentiment and replaced it with nothing. Unhappy people used to land in a form. Now they ...

... correct level. The final step is to preview, save, copy, or export the result. This update is based on the Structure Lab demo. It does not claim that every Canvas pixel or cross-origin IFrame can be freely rewritten. It shows how a visual HTML editor can make both editable surfaces and structural boundaries easier to understand. Comment from Eason Zhou(@eason_zhou): curious about the handoff after export. if a teammate opens the saved HTML later and flags ...

... real reason. What pushed me there was your exact fear: a clean-looking refactor that silently changed an edge case with no test to catch it. The one thing I'd add: I let the agent refactor freely only where I trust the test coverage. If the ugly code is well-covered, the downside basically disappears. If it's not, "ugly but working" beats "pretty but unverified" every time. So it's less about the code and more about ...

... want to know where everyone else draws the line: - Which camp are you in, babysit or let it rip? - Do you have a rule for what an agent can do without asking? (read-only anything, run tests freely, but stop at deploys, rm, db writes?) - What is the worst thing you came back to that an agent did while you weren't looking? - And honestly, how do you tell "it's blocked" from "it's done" from "it's gone ... ... Ghani(@aadilghani): @virko_kask   Agent-state instead of task-type as the urgency signal is better than what I had, and I think you just moved my whole priority model. Category decides if it may reach me, idle-vs

... pipelines like Gesto, making it easier to collect, label, and export hand landmark data for training models. I'm at a fork in the road on direction, and I'd love your input: 1. Open source it release it freely (currently GPL-3.0), let the community use it, contribute, and shape where it goes. 2. Build a paid/commercial version invest in polish, support, and features, and offer it as a proper product. A few things I'm weighing: Open source ... ... hear your thoughts genuinely undecided here and want to build something people actually want. Comment from Sundar Balamurugan(@sundar_balamurugan): @pablo_ani  Yeah, I never thought about launching paid in the first stage. I am talking Opensource vs

... finally in TestFlight. Would love some honest eyes on it before I open it up wider. It's called Wayline. A more beautiful way to walk and drive through the city. What's in it: - Cinematic 3D routes. Toggle freely between 2D map, 3D, and AR views. - A calm voice that only speaks when it matters. - Curated place discovery: Eat & Drink, Culture, Outdoors, Shopping, Nightlife, Stay. - An AR beacon for direction to destination - NYC subway overlay on the home ...

... each day Simple explanations for selected objects Cosmic Capture, allowing users to save beautiful space views Support for multiple languages, including English, Vietnamese, and Chinese To enjoy the app, just open the link, choose a guided journey or explore freely, click on objects, read the short descriptions, and capture your favorite space view. The long-term goal of AS2AI is to make astronomy more accessible, visual, and inspiring for general users especially beginners, students, and anyone who simply enjoys looking ...

... between what people say and how they say it is where the real signal lives. The "hidden between the words" framing is spot on. How well does it handle text-based async interviews vs live voice? That's where I'd be most skeptical but also most excited. Comment from Nolan Vu(@nolan_vu): @dharan_tej_reddy  Respect for taking this on solo at 22, that's not a small bet to make ... ... entire roadmap. Comment from Nolan Vu(@nolan_vu): @thenameisarian  Interesting, alternative