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New Features & Enhancements: • AI Chatroom: Introduced a revolutionary multi-AI conversational environment. Users can now invite multiple AI models into a single chat session, directing messages to specific AIs for their input. This enables complex collaborative tasks, comparative analysis, or simulated debates between different models, with each AI having access to the full conversation history. Responses are manually triggered, providing users with precise control over the interaction flow. • AI Coder: Launched a dedicated, AI-powered coding workspace. This feature allows users to leverage AI models for code generation, debugging, and iterative development. Users can provide prompts to build new projects, import existing code files, and receive AI-generated code suggestions and modifications, complete with diffs to track changes. The Coder environment is designed to accelerate software development workflows by integrating powerful AI capabilities directly into the coding process. • Improved Model Browser Filters: Enhanced filtering options in the Model Browser for more granular discovery of AI models based on advanced capabilities and pricing tiers. • Performance Optimizations: General improvements across the platform for faster load times and a smoother user experience. Bug Fixes: • Resolved minor UI inconsistencies in the chat interface. • Addressed an issue causing occasional delays in model response times. -
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Kinetic Consulting🛠️ 1 tool 🙏 58 karmaMay 19, 2025@MackyThanks for your great feedback Gregory. A feature in Macky that is designed for more specific industry-specific information is the "Ask Macky" one. In this feature you can use your own promopting to get outputs that are specific to the business question being asked. Also, at the end of each output you have an opportunity to ask any detailed question you want about the output to get more specific responses. You can drill down several times to get further insights using this feature. Hope this helps!
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To start a learning application, I think this is a great platform to support adaptive and personalized learning.
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I love that Shakespeare is totally open source and fully focused on allowing users to build with freedom, rather than just another AI SaaS trying to lock users into a subscription tier. You can use it with any other AI provider, or pay as you go for credits with Shakespeare's default AI. It's really easy to talk to the app, build a first draft, and deploy. I also like how you can edit other open source projects and improve them. Really cool tool for people who want to build with AI but care about open source and freedom.
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Finally an API provider that is actually affordable. Nano Banana Pro API saved me over 50% on my bill. Also super impressed that they have access to video models like Sora 2. Wisdom Gate is legit!
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AI-powered instructional design in seconds.Open -
I have used this for several personal assistant applications and it works amazingly. Obviously it is still restricted to the flaws of any model you are using it with, but the ability to constrain prompts is incredibly helpful (especially when it comes to getting things like JSON format from the AI).
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AI-powered English courses at your fingertips.Open -
I just used for a couple of scientific tasks and its output was as good as ChatGPT 4 and Gemini Pro. This is an interesting tool and I will be exploring it further
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Really impressed by the multi-model planning and code review. Having different models collaborate instead of relying on just one actually leads to better decisions. You can feel the difference on more complex tasks.
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I have been using z.ai for two weeks for web development and it's mind blowing for me. What amaze me more is its capacity to understand my existing code with very little context and suggest -or just write- lot of improvement. I did some test to compare it with ChatGPT, Claude, etc. but the results were no even close. And I keep pushing the limits but it doesn't even blink.
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Claude — v5.0Claude Fable 5 State-of-the-art on Cognition's FrontierCode eval, scoring highest among frontier models even at medium effort. More token-efficient than prior Claude models. Stripe reported a codebase-wide migration on a 50M-line Ruby codebase done in a day, versus an estimated two-plus months by hand. Highest score of any model on Hebbia's Finance Benchmark (senior-level reasoning), with major gains in document reasoning, chart and table interpretation, and problem solving. IMC reported near-across-the-board top results on trading-analysis evals (factual lookup, conceptual reasoning, root-cause analysis, expected-value analysis). New state-of-the-art for vision tasks. Extracts precise numbers from scientific figures and can rebuild a web app's source code from screenshots alone. Needs less scaffolding: beat Pokémon FireRed with a minimal vision-only harness, where earlier models needed complex helper harnesses. Stays focused across millions of tokens on long-running tasks and improves its outputs using its own notes. With persistent file-based memory in Slay the Spire, performance improved 3x more than Opus 4.8, and it reached the final act 3x more often. Works autonomously for longer than any prior Claude model
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