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Article URL: https://www.nofire.ai/blog/who-audits-the-ai-agent Comments URL: https://news.ycombinator.com/item?id=49194708 Points: 4 # Comments: 0

Article URL: https://felonybench.org/ Comments URL: https://news.ycombinator.com/item?id=49194758 Points: 2 # Comments: 0

Article URL: https://www.bloomberg.com/news/articles/2026-08-06/google-shifts-ai-power-to-california-in-race-against-anthropic-openai Comments URL: https://news.ycombinator.com/item?id=49194834 Points: 1 # Comments: 0

Article URL: https://www.cnbc.com/2026/08/05/google-is-expanding-its-ai-empire-and-losing-the-people-who-built-it.html Comments URL: https://news.ycombinator.com/item?id=49194970 Points: 4 # Comments: 0

Article URL: https://www.usesaint.com/ Comments URL: https://news.ycombinator.com/item?id=49194986 Points: 1 # Comments: 0

Article URL: https://spectrum.ieee.org/ai-scientist-research-paper-format Comments URL: https://news.ycombinator.com/item?id=49195038 Points: 2 # Comments: 1

Article URL: https://imagetovideoai.tools/ Comments URL: https://news.ycombinator.com/item?id=49195054 Points: 1 # Comments: 0

Article URL: https://serendb.substack.com/p/dont-let-your-corporate-agentic-brain Comments URL: https://news.ycombinator.com/item?id=49195062 Points: 2 # Comments: 0

Article URL: https://tahachoukhmane.com/wp-content/uploads/2026/03/CdSLA-2026-AI-Financial-Advice.pdf[pdf] Comments URL: https://news.ycombinator.com/item?id=49195109 Points: 3 # Comments: 0

Article URL: https://juju-chu.com/ Comments URL: https://news.ycombinator.com/item?id=49195269 Points: 1 # Comments: 0

Article URL: https://apps.apple.com/us/app/ai-agents-101/id6792491701 Comments URL: https://news.ycombinator.com/item?id=49195365 Points: 1 # Comments: 0

Article URL: https://github.com/finxter/awesome-ai-book-writing Comments URL: https://news.ycombinator.com/item?id=49195388 Points: 1 # Comments: 0

I started off doing consulting and automations and I chose the trades and construction niche. It has slowly evolved into a productized consulting SaaS product that I can reuse throughout this niche. So far I have 30k revenue through 7 months with setup fees and monthly retainers. I now have $4400 mrr ongoing as well from my 5 clients. When is a good time to be selective with future clients that fit the mould of what I have built for past clients vs continuing to be very custom to appease to ...

Duration May–Aug 2026 We analyzed different content themes, campaign objectives, and audience segments.​ Company Background: We are a SaaS company building AI native ticketing system for the support platforms like Github, Discord, Forums to resolve issues. category: AI agents, and support platforms Content marketed: short text + website+ images and sometimes blogs (from medium) Theme: solution pages for each integration like github integration page link was uploaded and showed th...

Hi everyone. I am building a voice-to-action ai assistant for your desktop, and am looking for feedback on my pre-launch page. I am thinking of using this page to get early emails and build a waitlist prior to launch and would like to get some feedback on it before I start to do a cold outreach campaign. I have only shown the page to a handful of people, so... basically, I just want to know if there are any gaps or things I could improve before I start actively promoting it. As for my tool, ho...

I passed 50 visitors to my website where I house my products and my bounce rate has been declining. Nothing purchased yet but a little bit of a rush.

One of my posts went viral on Reddit about how I left my job at Google 2 years ago and have been trying and learning by building different startups since then. The comment section was flooded with people saying how all my ideas are stupid, that it is never going to work out, why haven't I done x,y,z and so on. I have seen my friends and so many other founders giving up on their dreams because the world was just cruel to them and told them "It would never work out". So, if you ...

We've reached a point where LLMs are capable enough to power many agentic workflows, yet relatively few AI agents make it into stable, long-term production. In your experience, what's been the hardest engineering challenge to solve? Tool reliability? Long-term memory? Planning and reasoning? Context management? Evaluation and benchmarking? Authentication and permissions? Multi-agent orchestration? Cost and latency? Human-in-the-loop approval? Something else? If you've...

I used LLMs + TTS to build the history-learning tool I always wanted: type any topic and it researches and writes a full two-host episode — narration + artwork — in a couple of minutes. The part I think is actually novel: you can interrupt it. Mid-episode you tap the mic, ask a question out loud ("wait — did the Trojan War actually happen?"), and the hosts stop, answer, then pick the story back up. Because it's history, I made grounding non-negotiable — claims are tied to real sour...

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