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Unleash your creativity and take control of your ideas with Craft, a powerful app that transforms how you write, organize, and get things done. Create stunning documents, manage tasks, build dynamic collections, and structure your ideas your way.

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Nidhi Dumian
Nidhi Dumian@DumianNidhi·Yesterday
37 Followers
really fun exercise to check if your website answers high-intent, bottom of the funnel questions people are asking on reddit (and if they are doing so, they are asking those exact or very similar questions on LLMs too). I created an agent using @craftdocs (so easy), asked it to scrape the @getclarify website using @firecrawl api and create a google sheet with these columns- url, title, meta description, h1, h2, h3 and faqs step2- asked craft to use firecrawl api again to scrape specific reddit threads (saas, crm, small business, startups) for the last 90 days and create another tab 'reddit-crm-research' within the same sheet with these columns- post title, subreddit, url, main question/pain point, category, similar questions count (frequency) step 3- asked the agent to create a 'gap analysis' tab to do this- 1- for each reddit query, cross reference against the website map. 2- fill gap analysis tab with these columns: reddit question, category, frequency, verdict, matching url, what's missing, suggested action and suggested headings to add for each reddit query. and finally, asked it to follow this exact process: first, find any pages in the website map that seem relevant to that reddit query. second, for each relevant page, check if it clearly addresses ALL the specific pain points. for example: if someone asks "Salesforce is killing my budget, team of 5 needs alternative"- check if the page talks about ALL of these: Salesforce as an alternative, pricing transparency, small team fit, and cost predictability. Not just one of them- all of them. third, give one of these verdicts: -fully answered if page clearly covers all pain points, or - partially answered if page exists but missing some pain points. if so, list exactly what's missing and suggest a specific H2 or H3 heading title for each missing point. - and if not answered, i.e.,no relevant page exists, then suggest a new page with a proposed url, h1, and 3-4 h2 sections to create. big thing to keep in mind- credits go really really really fast if the agent is trying to map each reddit query with each webpage and its content.
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iGiannis
iGiannis@iGiannnis·2d
529 Followers
What happens when you give a @claudeai agent persistent memory and let it build a knowledge graph from your @craftdocs daily notes? I built this with the help of @arscontexta. Here's what I learned. --- I write messy notes all day - thoughts, saved articles, reflections, links. Across multiple topics. An AI agent processes everything through a 4-phase pipeline: Harvest -> Extract -> Connect -> Verify Each phase has a specific job. --- Harvest: pull raw content from my note-taking app Extract: break each source into atomic claims (one idea = one note) Connect: find links across knowledge domains Verify: quality gates on descriptions, schema, link health --- The design choice that made it work: Notes are titled as claims, not labels. "Route optimization breaks down when last-mile variability exceeds forecast confidence" not "Logistics notes." The title IS the idea. --- Two more rules: Every note must be discoverable by a future agent who doesn't know it exists. The system evolves through friction, not planning. No features get added until real pain proves they're needed. --- 150+ notes (and growing) across four knowledge domains - all interconnected, all searchable, all evolving. The real insight: The gap isn't intelligence. It's memory architecture. --- AI agents don't need to be stateless. Give them structured memory, clear methodology, and quality gates - and they stop asking the same questions every session. --- Who else is combining note-taking with structured Claude frameworks? #AI #PKM #ClaudeCode #ArsContexta
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iwashi / Yoshimasa Iwase
iwashi / Yoshimasa Iwase@iwashi86·Jan 28
17.7K Followers
AI導入によって社員の働き方を根本から変えた事例(Craft Docs社の事例) ・同社はこれまでAIブームには慎重だったが、エージェント技術の進化を受けて方針を大きく転換した ・創業者自らが休暇中の2週間を使って、Claude Codeを基盤にした独自のAIツールを開発 ・過去3年間のAIに関する試行錯誤ではユーザーに定着しなかったが、リーズニングモデルの登場が大きな転換点になった ・開発されたツールは「Craft Agents」と呼ばれ、GUIの操作画面を持つAIエージェントになっている ・このツールはエンジニアだけでなく、非エンジニアを含む全社員が日常業務で使用 ・たとえば、カスタマーサポート部門が最大の恩恵を受けており、問い合わせ対応の時間が劇的に短縮された ・以前は30分かかっていた作業が2分程度で終わるようになり、処理できる案件数が大幅に増えた ・エンジニアも恩恵を受けている ・AIがバグ報告の内容を解析し、修正が必要なコード箇所を特定してエンジニアに報告まで行う ・複数のAIエージェントを同時に並列実行させることで、大量のタスクを一度に処理可能 ・マーケティングチームはエンジニアの助けを借りず、自分たちでウェブサイトの構築を行っている ・人事担当者は自国の法制度に合わせた複雑な休暇管理ツールをAIを使って自作した ・財務担当者は銀行の入出金データと社内の請求書を自動で照合する仕組みを構築した ・開発現場ではコードレビューのあり方が変わり、AIとの共同作業による高速開発が主流になった ・数ヶ月を要するはずのシステム移行作業が、AIの活用によってわずか1週間で完了した ・開発チームの体制が変化し、少人数で大きなプロジェクトを動かすスタイルに移行している ・ただし、急激な変化に適応できず、職場を去るエンジニアが出ている。それほど劇的な変化が起きている ・AIの普及により、従来は高価だった高度な機能が標準的なサービスとして提供されるようになる ・異なるサービス間の連携が容易になるため、企業は古いツールを捨てて新しいツールに乗り換えやすくなる ・プログラミングの技術そのものより、AIを使いこなして成果を出す能力が重要視される時代に ・AIの進化が速すぎるため、企業は採用を一時的に止めて組織のあり方を再検討する局面にあるのでは https://t.co/ilhTmx0Pzw
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