AI for Everyday Automation 7 AI workflows to save hours at work every week (Dipankar Sarkar) (z-library.sk, 1lib.sk, z-lib.sk)

【One-Line Pitch】 A practical playbook for busy professionals who want to stop losing hours to email, meetings, research, and reporting, using ChatGPT, Claude, and Perplexity to turn recurring chores into repeatable AI-assisted workflows. Best for knowledge workers who already sense AI could help but need a concrete, low-friction way to start. 【Book Arc】 - **Opening (~0%–10%)**: Sets the premise that small recurring tasks—email, meetings, research, reports—collectively drain hours weekly, and previews the seven-workflow structure plus setup appendix. - **Early (~10%–25%)**: Introduces an "audit, arm, go" method: score tasks by time consumed versus cognitive uniqueness, build a personal "hit list," and pick tools (ChatGPT, Claude, Perplexity) matched to each job. - **Early (~25%–35%)**: Delivers a first hands-on win—one real task done with AI in under 30 minutes—establishing the core loop of gather input, prompt, review, refine, and use. - **Middle (~35%–50%)**: Moves from copy-paste to connected workflows, starting with Gmail-to-Claude email triage, classification, batch drafting, voice guides, and templates. - **Middle to Late (~50%–85%)**: Extends the connected pattern across meetings (briefs, transcription, action items), research briefs, document and task extraction, spreadsheet analysis in plain English, and repurposing one source into many formats. - **Ending (~85%–100%)**: Assembles everything into a weekly system with companion Skills installation and a day-by-day Week One checklist, supported by a setup and troubleshooting appendix. 【Key Takeaways】 - **Automate by time-versus-uniqueness, not by novelty** (Early): Tasks that consume hours but require little original judgment—email triage, status reports, meeting follow-up—are the highest-value targets; strategy and relationship calls stay human. - **The core loop is gather, prompt, review, refine, use** (Early): Treat AI as a fast first-drafter and yourself as the editor; steer with follow-up prompts instead of rewriting from scratch. - **Connected beats copy-paste** (Middle): Linking AI tools to Gmail, calendar, and task managers removes manual overhead and is the pattern that powers every later chapter. - **A voice guide keeps drafts sounding like you** (Middle): Custom instructions plus accumulated corrections make AI output progressively more personal and usable. - **Know when to write manually** (Middle): Performance feedback, conflict resolution, legally sensitive, and relationship-critical messages should stay human—if a 10% tone error causes real damage, write it yourself. - **Every workflow has a fallback** (Middle): When integrations are blocked, the same prompts work manually with modest extra copy-paste time, so adoption isn't gated on IT approval. - **Plain-English data work replaces formula wrangling** (Late): Spreadsheets can be cleaned, analyzed, charted, and summarized by describing intent, with AI running code behind the scenes—subject to reviewing the numbers. - **One source, many outputs** (Late): A single set of source material can be distributed into posts, announcements, client emails, and newsletter sections from one conversation. 【Reading Tips】 - Start with the audit chapter and write your own hit list before reading further; the book is explicitly designed to be read out of order, so jump to whichever workflow matches your biggest time sink. - Do the "first win" walkthrough immediately rather than reading all seven workflows first—the book's own argument is that the barrier is action, not knowledge. - Deep-read the email and meetings chapters if you live in your inbox and calendar; skim the spreadsheet and content chapters if those aren't your bottlenecks. - Pay attention to the "when to write manually" and privacy guidance—these guardrails matter more than any single prompt template. - Keep the appendix handy during setup; integration and Skills installation is where most friction will occur. 【Coverage Limits】 This guide is based on stratified excerpts covering the front matter, table of contents, and early-to-middle chapters; the later workflow chapters and appendix are represented mainly through summaries and headings, so specific prompt wording and worked examples beyond those shown are not detailed here.