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Patrice Blanchard🙏 12 karmaSep 19, 2024@TavusThe demo of this AI zagent is pretty stunning. The agent understand what I am saying zand is replying on the spot. Very interesting. The sky seems to be the limit. But how can a small company use this kind of tool in practice.
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All of this tools offer API access, which is useful for developing your own AI tools at a low cost.
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MongoDB - Build AI That Scales🗄️ Database -
We're live folks! Do check us out and drop your feedback or requests.
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AI-powered code reviews that accelerate pull requests and improve code qualityOpenI signed up for early access and have been using codoki for a few months now, eventually brought it into my team as well. Great tool, simple to use, not overwhelming and has caught things in a way thats actually digestible
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" AI-powered test management that simplifies bugs, tests, and releases.”OpenUsing @Bugasura has been a game-changer for our QA workflow. The AI automatically generates precise issue descriptions, assesses impact, and suggests assignments, cutting down bug logging time by more than half while keeping everything organized and collaborative across teams.
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OpenGreat tool for quickly assessing any security risks that may be present on a site. Also made a video about it https://www.youtube.com/watch?v=yfHd-vWsUkc -
AI-native OCR platform, 95%+ accuracy, zero prompt engineering, flags uncertain fields.OpenWe are a team of founders who worked before in data extraction, with traditional manual review of each document to check accuracy / errors. We are so excited about AI and the new LLM models because we have created DeepRead using those and the accuracy is 95% and we flag uncertain fields so no one has to manually review entire documents (whew), only the exceptions! We hope you try it out and please share your review, comments and feedback. Looking forward to hearing from users!

