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The Productivity Show

AI Tips for Everyday Productivity — How to Use AI to Reclaim Your Time (TPS604)

47 min episode · 2 min read
·

Episode

47 min

Read time

2 min

Topics

Productivity, Artificial Intelligence, Product & Tech Trends

AI-Generated Summary

Key Takeaways

  • Multi-tool specialization: No single AI tool handles everything well. Use ChatGPT as a daily driver, Claude for coding and Excel analysis, Gemini for image and video generation, and Perplexity for real-time research and social media sentiment analysis. Matching each tool to its strength produces significantly better results than defaulting to one platform for all tasks.
  • Context files as AI assets: Create plain text files containing your writing style, voice, values, and business details. Load these into any LLM session to eliminate repetitive re-explaining. Maintain separate context files per medium — LinkedIn posts, professional email, personal email — so the AI writes in the correct register without additional prompting each time.
  • Closing the feedback loop: When editing AI-generated content, make all revisions inside the chat interface rather than in Word or Gmail. After four to five rounds of in-chat corrections, the model learns your preferences. Alternatively, paste your final edited version back into the chat and instruct it to analyze and internalize your style for future outputs.
  • Three-level AI progression: Level one is AI-assisted prompting — the model advises but you execute. Level two is AI workflows — tools connect to Gmail or calendars and perform actions directly. Level three is AI agents — a digital employee monitors your inbox, cross-references your calendar, and pre-drafts replies for human approval before sending, reclaiming significant daily time.
  • Perplexity Computer for autonomous research: Perplexity's agent feature runs multi-step tasks autonomously across the web. One prompt enriched hundreds of business leads — pulling company size, location, and contact data — without manual intervention. The tool also supports source filtering, allowing queries restricted to social media or Reddit only, making targeted sentiment analysis faster than any standard LLM search.

What It Covers

Tan and Brooks break down practical AI tool usage across five platforms — ChatGPT, Claude, Perplexity, Gemini, and Notebook LM — covering real workflows for research, content creation, lead enrichment, and SEO audits, plus a three-level framework for progressively integrating AI into daily work.

Key Questions Answered

  • Multi-tool specialization: No single AI tool handles everything well. Use ChatGPT as a daily driver, Claude for coding and Excel analysis, Gemini for image and video generation, and Perplexity for real-time research and social media sentiment analysis. Matching each tool to its strength produces significantly better results than defaulting to one platform for all tasks.
  • Context files as AI assets: Create plain text files containing your writing style, voice, values, and business details. Load these into any LLM session to eliminate repetitive re-explaining. Maintain separate context files per medium — LinkedIn posts, professional email, personal email — so the AI writes in the correct register without additional prompting each time.
  • Closing the feedback loop: When editing AI-generated content, make all revisions inside the chat interface rather than in Word or Gmail. After four to five rounds of in-chat corrections, the model learns your preferences. Alternatively, paste your final edited version back into the chat and instruct it to analyze and internalize your style for future outputs.
  • Three-level AI progression: Level one is AI-assisted prompting — the model advises but you execute. Level two is AI workflows — tools connect to Gmail or calendars and perform actions directly. Level three is AI agents — a digital employee monitors your inbox, cross-references your calendar, and pre-drafts replies for human approval before sending, reclaiming significant daily time.
  • Perplexity Computer for autonomous research: Perplexity's agent feature runs multi-step tasks autonomously across the web. One prompt enriched hundreds of business leads — pulling company size, location, and contact data — without manual intervention. The tool also supports source filtering, allowing queries restricted to social media or Reddit only, making targeted sentiment analysis faster than any standard LLM search.

Notable Moment

Tan described running an overnight technical SEO audit by connecting Claude's Chrome extension to Google Search Console and Analytics simultaneously. Claude autonomously browsed the site, clicked through reports, captured screenshots to interpret page layouts, and delivered a complete audit by morning — a task typically outsourced to agencies.

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