... would sit with, and it is a limit on what I sell. A gate would not have helped. Nothing asked. The agent was doing things that 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 it is a system whose silence is distinguishable from health, which ... ... Claude Code for most of what I build, and these go through it. The drafts are mine though: my thinking, my call, and nothing goes out that I haven't read line by line. Which is on topic

... biggest update is in-scene entity editing you can swap or edit specific characters and objects within a single scene without breaking the overall visual composition. You can also trim, add, or delete individual clips post-generation, and fine-tune Foley, swap multi-language TTS voices, and edit subtitles right on the timeline. 5-Minute Video-to-Video (V2V) You can now transform real videos up to 5 minutes long. To prevent timeouts and memory crashes, our engine automatically slices ... ... generations fast and affordable, we pair silent models with a custom audio engine. It automatically detects visual actions to generate synced Foley and sound effects, or syncs visual cuts to custom music tracks up to 2 minutes long. Smart Topic

... experimenting with AI-assisted content creation for a highly technical B2B industry. One issue I keep running into is accuracy. AI can generate a polished article very quickly, but when the topic involves manufacturing processes, tooling, tolerances, materials, or failure analysis, the output often sounds convincing while missing important technical details. My current workflow is: Collect notes from engineers and production teams Use AI to organize the information Turn it into articles, short videos, FAQs, and social posts Have someone ... ... others are solving this. If you work in a technical or niche B2B industry, how do you keep AI-generated content accurate without slowing the whole workflow down? Are you using RAG, an internal knowledge base, custom prompts, fine-tuning

... notes, a recording, a screenshot, a question, or a topic, and turn it into the format they need. Underneath that, the system is meant to learn from behavior: which explanations work, where difficulty should move, when a visual or interactive question would help, and what should be revisited next. We are also training the Metis model family from scratch specifically for Lernex rather than fine-tuning

... right now: getting the router to know when it's wrong. Picking the best model is easy on paper; knowing mid-task that the approach is off and correcting without burning a full iteration is the real problem. Still tuning it. PH: https://www.producthunt.com/prod... Just launched today genuinely curious what this crowd thinks. Comment from Nolan Vu(@nolan_vu): @maaz_shaikh7  Really like this framing, "people don't need more prompts, they need fewer better ones they ... ... Would love for you to try it, we have a 10 day free trial period. Comment from Zeeshan Akhtar(@zeeshan_akhtar1): Build an AI Search visibility tool that doesn't backlog SEO. Provides tracking, actionable ideas to improve it, topic

... other services. Partnered with Bombora for high quality buying intent data and Prospeo / Hunters etc for B2B data. Agents generate the base line company profile and ICP along with Intent topics, users may edit / create new to fine tune

... daily tasks, email drafts, articles, posts, ideas on completely different topics, calculations basically, my whole life. I d love it to automatically recognise what each note is about and either place it in the right folder or add relevant topic

... keep it paced for 24/7. The real ceiling is usually your LLM provider's rate limits, not the app. Comment from Yelkhan (@alrady): @freya24  That's the dream There's already a cross-session memory layer (it remembers topics, regulars, running threads). But structured gameplay memory "my base is here, my goal is diamonds, my build style" is exactly the next step. Persistent goals + spatial memory = feels like a real player. Roadmap'd Comment from Freya(@freya24): Would ... ... before the full reply is even done so audio starts ASAP instead of waiting on the whole response. Sentences are pipelined: while sentence 1 is playing, sentence 2's TTS is already being synthesized in parallel. TTS is tuned

... workflow is healthy. Fast approval on a high-risk or unusual action should create a tiny are you sure you looked? pause. Then the real calibration comes later by joining latency, risk tier, and outcome. Would you let users tune which risk tiers get that mirror? Comment from emoji kitchen(@emoji_kitchen2): How do you stay aware of what your AI coding agents are doing? Comment from Wesley Breukers(@wesley_breukers): @aadilghani  For the rules, I have a specific ... ... Telegram for immediate notification and Discord to cross-communicate: I'm (or my users) creating records about ideas to implement or discuss, Claude read it, update to-to records, we discuss, then Claude write comments to necessary topics

... would you say you're 100% sure she used AI to write that comment? Comment from Abdul-Hafiz Aderemi(@hafiz_aderemi): @lara_bishop  can you give examples? Comment from Abdul-Hafiz Aderemi(@hafiz_aderemi): This is a topic I'm interested because almost everyone LinkedIn has turned into an expert at recognising AI content. I'll be reading the comments. Comment from Shyun Bill(@shyunbill): Look for that eerie "digital shimmer" where lighting is too perfect or shadows ... ... discussions. Comment from Stoyan Minchev(@stoyan_minchev): I don't. search for methods. As long as the content can genuinely make me better, smarter, does not really matter how it is created. Sometimes people use AI just to fine-tune

... where i also started working on "Global Memory Architecture" for this and this is going to be very essential. Now let's say if any micro lab or a team of small developers built any model or fine tuned any model that outperforms these big models at any specific tasks, and if in future we allow these people hosting their models on our platform and if chats with their model are ranking on the feed or the model is ranking ... ... precise, reliable connections, your system does something similar but for conversations across models. https://netherportalcalculator.net/ Comment from MAHENDRA BENIWAL(@mahendra_beniwal): @blakeskrable  Exactly... and one more thing i would say that sometimes you don't get enough topics

... heavy users. The live product is at lucidextractor.liceron.in if you want to see it. Happy to do a quick call to walk through the architecture for your research! Comment from Chris Conlee(@conleec): This is a great research topic, Ryan. As a solo founder launching PictaBase today, I can tell you that for a "pro-sumer" tool, the stack isn't just about what's easy it's about what's provable and sustainable . I built PictaBase ... ... network first, which will make it easier to open doors to monetization later. Comment from Ryan Hendrickson(@ryan_hendrickson): @matthew_kenchington  Nice! Do you provide some of your previous writing samples when you sign up, and it fine tunes

... indirect relationships between ideas. Node coloring: Automatically color-code nodes by tags. Hover for tooltips showing topics, customize colors in settings. Multi-select & bulk actions: Hold Cmd/Ctrl and click to select multiple nodes, then perform bulk operations like deletion. Graph presets: Save filter settings, color schemes, and layouts as named presets. Switch instantly between different views of your knowledge. Graph settings: Fine-tune

... jakub_malek1  Today, it seems, they launched two products solving our problem: For VC application audit: https://ybombinator.site/ For a messy workspace: https://screensorts.app/ :D Comment from Nika(@busmark_w_nika): @nikhilshahane  Just out of curiosity, which topics related to AI and digital agencies are interesting to you? :) I would like to contribute more in these terms. Comment from Nika(@busmark_w_nika): @solomon_nwabuoku  To be honest, I am not so technical ... ... created a no-code AI Lab so that anyone can train their own small, specialized AI models using their proprietary data, without needing any technical skills. We abstract everything, from GPU configuration to data processing, pipelines, and hyperparameter tuning

... started turning my personal habits into a checklist to build discipline and make these habits non-negotiable over time. Here s mine: 15 minutes of meditation Read at least 10 pages of a book Read one English article (any topic) Take notes on new vocabulary from that article Go for a run or work out Learn knitting Practice writing Python I can't do all of these every day although I really want. However my time budge has limits. Instead ... ... minutes to write a simple or complex problem I am trying to navigate, an affirmation to follow that problem, and a closing sentence to reflect on. After I finish, I let my body process the emotion so I can tune

... with AI, the greatest technology the world has ever seen, I predict the return of three pricing structures which are just so, inherently, human. And that, kinda, makes sense I've written a more in-depth Substack on the topic that I'll link to at the bottom, but here's the TL;DR to avoid you needing to switch platforms. A short summary of the thinking AI models are converging faster than we expected. For most users ... ... signals, and what it costs. In economic terms, some AI products may behave like Veblen goods where the price itself is part of the appeal. Second, fragmentation increases. Rather than one AI for everyone, we ll see many AIs tuned

... Start a Substack newsletter and post weekly Launch my community for creative solopreneurs Personal goals: Continue learning Spanish Comment from Simon Gelfand(@webshark): @busmark_w_nika  Probably Linkedin Comment from Simon Gelfand(@webshark): @busmark_w_nika  stay tuned ... launching a helpful tool on Tuesday for it Comment from Simon Gelfand(@webshark): I think my biggest goal is to be more active on social sites. More commenting, more posting ... get in to a good rhythm. Comment from Vladimir Solovev ... ... That's a shame. :DDD Comment from Nika(@busmark_w_nika): @kavyashree_s1  Regarding public speaking, I have a few tips: practice in front of the camera practice in front of the mirror write down topics

... agents, fine-tuning, function calling, automation, and how teams can move faster with less manual work. I m here to answer any and all of your questions, so fire away! Comment from Henrik Thorenfeldt(@henrik_thorenfeldt): cool topic

... create interactive presentations in minutes I ve always believed that great ideas deserve more than static slides. Most of us spend hours designing decks, only to end up with something our audience quickly tunes out With Oina, we re changing that. You type a topic

... high touch engineering-in-loop . Check out his latest tweets on X or recent podcast with Dwarkesh Patel where he touches on the topic. At Navam we are vibe coding several non-trivial white label products across multiple AI stacks, models, and frameworks running up 177K lines of working production-ready code and months of tuning

... Lately, I have been experimenting with how to feed context into GPT models more effectively. For example, when fine-tuning or working with larger context windows, I have noticed that the dilemma is in organizing the surrounding information, rather than the prompt itself. Last week, I came to know that it's called Context Engineering. I am curious how others here approach it: How do you decide what information is essential vs noise when building AI workflows? Have you noticed ... ... worked far better for me. Comment from hira siddiqui(@hira_siddiqui1): @ashok_nayak it will be launched on 4 November. Never launched before Comment from Coire(@coire): Hi Ashok, I've been in the weeds on the same topic

... Comment from Nika(@busmark_w_nika): @vladbalan  Congrats on a successful post, it seems that many of the comments are positive. That's rare for Reddit :D Comment from Nika(@busmark_w_nika): @rajan_batra3  Staying tuned :) Comment from Nika(@busmark_w_nika): @lattecino  Cool. I would like to see the results and your journey. Will you be sharing anything in these terms (case study)? :) Comment from Munmun Desai(@munmun_desai1): @busmark_w_nika  X works ... ... feeling Reddit keeps a close eye on duplicate posts, and it might look like spam even if the post is relevant. It probably depends on the specific subreddit and how the text is written or adapted to the topic

... great way to hook people into an episode ( x vs x on a topic for example.) Comment from Lina Huchok(@lina_huchok): Really enjoyed this, @zhiqi_shi Zhiqi, the way you framed perspective-shifting as moving from your story to our story really stuck with me. Too often content gets stuck in one angle (rant, tutorial, or personal log), and the audience tunes

... your audience. Here s what it includes: Tailored Content Calendar: Organize your posts with a clear timeline and structured workflow. No more guessing what s next or scrambling for ideas! Engaging Themes & Content Ideas: Never run out of topics again! Get a list of themes that will keep your blog fresh, relevant, and engaging. SEO-Optimized Strategy: Craft each piece of content with search engines in mind. Learn how to seamlessly integrate keywords and boost your organic reach. Actionable ... ... rank higher and attract organic visitors. Engage Your Audience: Stay on top of your content goals and create posts your audience will love. Measure Success: Use KPIs to evaluate the performance of your content, so you can fine-tune

... administrative regulations to hold people accountable, and sound procedural protections to ensure final decisions are made correctly in context. It is about building a process we can trust, not just a tool. Comment from Adi Singh(@adi_singh5): Fascinating topic! Do you think AI bias can ever be fully mitigated with better training data, or is human judgment still the safer bet despite its flaws? Comment from Dheeraj(@dheerajdotexe): This is really cool question, Dmytro. Personally, comparing two hypothetical human ... ... should apply their learnings in a specific way, there is certain to be bias for hiring, L&D, retentions, and so on. When we look at how UnitedHealthcare for example applies AI, we saw that it was basically tuned