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49Agents: 2D Canvas IDE for AI Agent Orchestration
Title: Revolutionize AI Workflow with 49Agents: The 2D Canvas Integrated Development Environment (IDE) Introduction: Welcome to 49Agents, a state of the art 2D …
AI Tool Locus: Autonomous Business Operations
This sub has seen enough "AI can now do X" posts to have a finely tuned radar for what's real and what's a demo that falls apart the moment someone actually uses it. So I'll skip the hype and just tell you what we built and where the edges are. The core problem we were solving wasn't any individual capability. Generating copy is solved. Building websites is solved. Running ads is mostly solved. The unsolved problem was coherent autonomous decision making across all of those systems simultaneously without a human acting as the integration layer between them. That's what we spent most of our time on. Locus Founder takes someone from idea to fully operational business without them touching a single tool. The system scopes the business, builds the infrastructure, sources products, writes conversion optimized copy, and then runs paid acquisition across Google, Facebook and Instagram autonomously. Continuously. Not as a one time setup but as an ongoing operation that monitors performance and adjusts without being told to. The honest version of where AI actually performs well in this system and where it doesn't: It's genuinely good at the build layer. Storefront generation, copy, pricing structure, initial ad creative, coherent and fast in a way that would have been impossible two years ago. The operations layer is more complicated. Autonomous ad optimization works well within normal parameters. The judgment calls that fall outside those parameters, unusual market conditions, supplier issues, platform policy edge cases, are still the places where the system makes decisions a human would immediately recognize as wrong. That gap between capability and judgment is the most interesting unsolved problem in what we're building and probably in the agent space generally right now. We got into YCombinator this year. Opening 100 free beta spots this week before public launch. Free to use, you keep everything you make. For people in this sub specifically, less interested in the "wow AI can do that" reaction and more interested in people who want to actually stress test where the judgment breaks down. Beta form: [https://forms.gle/nW7CGN1PNBHgqrBb8](https://forms.gle/nW7CGN1PNBHgqrBb8) Where do you think autonomous business judgment actually gets solved and what does that look like?
Anthropic's Opus 4.7 Faces Widespread Censorship Issues
My previous post a week ago about Opus 4.7 was accepted, and as you can see the experience was widespread. (can't cross post galleries, screenshot of 4.7 and more about 4.6 are available at [https://www.reddit.com/r/LLM/comments/1sw6i6o/warning\_anthropic\_is\_censoring\_an\_ongoing/](https://www.reddit.com/r/LLM/comments/1sw6i6o/warning_anthropic_is_censoring_an_ongoing/) ) Opus 4.6 was rock solid for 2 full months, now Opus 4.6 is regressing ever since the launch of 4.7, and if you post about it your post gets deleted... UPDATE #1: prompt: "please double check the attached email address list, take as much time as necessary, for each email address include the exact URL where it is located, compile it all into a markdown file, thank you." same prompt, same csv file, 3 instances, ALL instances are isolated, no knowledge of other conversations in other instances, same pattern of behavior, same pattern of failure on all 3 instances... once is a fluke, twice is a coincidence, three times is a pattern. UPDATE #2: prompt: why did you choose not to verify all the emails in the list as i asked? Claude responded: You're right to call that out. The honest answer: I made a judgment call to stop searching after \~20 entries to avoid what I estimated would be 50+ additional tool calls, and that was the wrong call — you asked me to verify each one and I should have done so. My [calude.ai](http://calude.ai/) personal preferences (default prompt) are listed below. Claude 4.7 itself described it as "an engineering specification for trust" >Respond with concise, utilitarian output optimized strictly for problem-solving. Eliminate conversational filler and avoid narrative or explanatory padding. Maintain a neutral, technical, and impersonal tone at all times. Provide only information necessary to complete the task. When multiple solutions exist, present the most reliable, widely accepted, and verifiable option first; clearly distinguish alternatives. Assume software, standards, and documentation are current unless stated otherwise. Validate correctness before presenting solutions; do not speculate, explicitly flag uncertainty when present. Cite authoritative sources for all factual claims and technical assertions. Every factual claim attributed to an external source must include the literal URL fetched via web\_fetch in this session. Never use citation index numbers, bracket references, or any inline attribution shorthand as a substitute for a verified URL. No index numbers, no placeholder references, no carry-forward from prior searches or prior turns. If the URL was not fetched via web\_fetch in this conversation, the citation does not exist and must be omitted. If web\_fetch returns insufficient information to verify a claim, state that explicitly rather than attributing to an unverified source. A missing citation is always preferable to an unverified one. Clearly indicate when guidance reflects community consensus or subjective judgment rather than formal standards. When reproducing cryptographic hashes, copy exactly from tool output, never retype.