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We taught the AI to doubt itself. Resolution rate across live customers went from 74% to 85%. CoSupport AI 2.0, line by line: – How it thinks: answers in one pass became searches, checks, re-checks. The agent questions its own first draft before your customer ever sees it – What it can do: reads and replies became reads, replies, acts. Refunds issued, orders updated, subscriptions cancelled, with no agent touching the ticket – Why it answered: black box became a decision log on every reply. Your team can audit any answer in about 10 seconds – Where it looks: 7 knowledge sources per ticket became 15 – Out of the box: Shopify and Stripe work from day one Everything changed except the deal. Start a pilot with 1000 free AI responses, we put the KPI in writing: 60% AI resolution by day 60. The agent misses the target, you pay nothing.
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Openzerovoidrage🙏 2 karmaApr 8, 2026@Athanor MarketI tested the product on my own idea and was really satisfied with the result. The analysis feels structured, professional, and much more grounded than a typical LLM chat. It helped me see both the strengths and weak points of the idea and made me want to run it again with a more thoughtful input. I also liked the detailed AI analysis logging, the debate flow, and the potential/readiness matrix. Even after one run, the product already feels valuable for a founder. With deeper UX/UI and technical development, I can see strong potential in it. -
tried quickdata on a stack of rent rolls (pdf+xls), a couple T12s and one chunky OM. setup's just an excel add in, super barebones ribbon button and it goes straight to work (no gimmicks). it mapped a lot of line items correctly and dumped them into my model fast. i like that it plugs into your existing model instead of forcing theirs. a clearer "why" for each auto category would be good.
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Really interesting approach with SquareGen. Quick observation: the product is framed as LLM credit scoring, but lenders don’t buy models — they buy lower default rates. If a lender with a $100M book drops defaults by even 1%, that’s ~$1M saved annually. Positioning around credit loss reduction could massively change the commercial narrative. Happy to share a few thoughts.
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This tool is great for 2 reasons. 1) its incredibly simple to use - other tools require alot of work, this is simple copy paste so you can go FAST. 2) when I use other tools like ChatGPT, I have to re-prompt as soon as I reach my limit, but this tool saves my cover letter and handles the volume
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AI assistant that proactively surfaces the best technical content, data, and actions.Open
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Hmm, looks promising, I will give this software a try for my ads. Let's see how it goes
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