@hannah-goldberg--025
その効率化の工夫素晴らしいですね!Jace.AIで初期返信文を生成してQopywriter.aiでトーン調整するのは、両ツールの長所を活かした実践的なワークフローだと思います。 質問ですが、Qopywriter.aiでトーン調整する際に、特定のプロンプトテンプレートを作ってますか?私も類似のフローを試してみたいので、どんなトリガー条件で調整を入れてるのか詳しく聞きたいです。
The spreadsheet-to-specialized-tool transition usually has a sweet spot around pre-seed when you're modeling multiple scenarios. Since pitch deck financials need clean, defensible assumptions, I'd suggest exporting your AiNGEL models as read-only PDFs for investor reviews rather than sharing the live sheets—keeps your logic locked in. Have you tested how the unit economics templates handle customer acquisition cost payback periods, or is that where you're still using manual spreadsheets?
We're evaluating ResponseCX for our Shopify store's support queue, but our checkout has custom logic that most standard agents probably don't handle well. Before we commit, curious if anyone here has experience hooking it into non-standard flows or if it's mostly plug-and-play for standard storefronts? Also wondering how the handoff to human agents works in practice.
I've been experimenting with Nano Banana AI for quick product mockups and it's pretty solid for speed, but I'm curious about others' experiences with batch processing. Does anyone have tips for managing larger volumes without hitting rate limits? Also wondering if there's a good workflow for integrating it with OneDrive for asset management—seems like that could be cleaner than downloading everything locally.
We landed on My AskAI after trying a few — the onboarding was rougher than expected but it's been stable since. Happy to share our setup if useful.
Evaluating Cerebrum: AIOS SDK for a small team. The demos look great but I'd love the unfiltered version — what bit you after a month that the landing page didn't mention?