AI Tools I Actually Use Every Day

Beyond the Hype

Every week brings announcements of revolutionary AI tools that will transform everything. Most of them don't make it into my actual workflow. Here's what has—the tools I reach for daily, not the ones I tried once and forgot.

I'm a working web developer. My criteria for AI tools is simple: does it save me time while maintaining quality? Does it fit naturally into how I already work? Is the output reliable enough to trust (with verification)?

Claude: My Primary AI Assistant

Claude (from Anthropic) has become my most-used AI tool. I use it for code assistance, content drafting, research, and problem-solving.

What I Use It For

• Code review and debugging: Paste problematic code, get explanations and fixes
• Writing code: Describe what I need, get working implementations to refine
• Documentation: Turn rough notes into readable documentation
• Research: Explaining unfamiliar concepts, comparing approaches
• Content drafting: First drafts of articles, emails, proposals

Why Claude Over Others

• Better at following complex instructions
• Longer context window for large codebases
• More nuanced, less robotic writing style
• Better at admitting uncertainty

Limitations I've Learned

• Knowledge cutoff means it doesn't know about recent library versions
• Can confidently provide incorrect information
• Sometimes over-engineers solutions
• Needs clear, specific prompts for best results

GitHub Copilot: In-Editor Assistance

Copilot lives in my editor and suggests code as I type. It's like autocomplete on steroids.

What It Does Well

• Completing repetitive code patterns
• Writing boilerplate you've written a hundred times
• Suggesting function implementations from names and comments
• Filling in obvious next steps

Real Productivity Gains

• Writing test cases: describe the test, Copilot writes the assertions
• CRUD operations: define the pattern once, it continues
• Documentation comments: write one, it suggests the rest
• Regex patterns: describe what you need, get a starting point

Where It Falls Short

• Complex business logic—it doesn't understand your requirements
• Security-sensitive code—it may suggest vulnerable patterns
• Novel problems—it's great at patterns, not innovation
• Sometimes suggests outdated approaches

Image Generation: Stable Diffusion

I run Stable Diffusion locally for generating images. It's useful for placeholder images, concept visualization, and sometimes final assets.

Why Local Over Cloud Services

• No per-image costs (just electricity)
• Complete privacy—images never leave my machine
• No content restrictions for legitimate business use
• Can run specialized models for specific needs

What I Generate

• Hero images for articles (like this one)
• Placeholder images during development
• Concept images for client presentations
• Social media graphics

Limitations

• Text in images is usually garbled
• Specific compositions require many attempts
• Hands and faces can be problematic
• Requires learning prompt engineering

How These Tools Fit Together

Different tools for different tasks:

A Typical Day

• Morning: Check messages, use Claude to draft any complex responses
• Coding: Copilot suggestions as I type, Claude for complex problems
• Content work: Claude for drafts, then heavy human editing
• Images: Stable Diffusion when I need graphics
• Documentation: Claude to help structure and clarify

What I Tried and Dropped

Not everything sticks. Here's what didn't make the cut:

ChatGPT

Still useful, but Claude has become my default. ChatGPT's writing feels more generic, and it's more likely to give me what it thinks I want rather than what I need.

AI Meeting Transcription

Tried several services. The transcription is good, but I found I never went back to read them. Turns out I don't need AI notes—I need fewer meetings.

AI Email Writing

The emails it wrote didn't sound like me. Clients noticed. I still draft important emails myself; AI helps with routine responses.

Various Specialized Tools

AI tools for specific tasks (SEO, social media, etc.) often underwhelmed. A general-purpose tool with good prompting usually works better.

Honest Assessment of Time Savings

AI tools save me real time, but less than the marketing suggests.

Where I Save Time

• Boilerplate code: 50-70% faster
• First drafts of content: 30-40% faster
• Research and learning: Significant (hard to quantify)
• Debugging: Sometimes faster, sometimes slower
• Documentation: 40-50% faster

Hidden Time Costs

• Reviewing and correcting AI output
• Reprompting when results aren't right
• Debugging AI-suggested code that doesn't work
• Learning to use tools effectively

Advice for Getting Started

If you're not using AI tools yet, here's how to start:

1. Start with one tool

   Claude or ChatGPT. Learn it well before adding more. Most people try too many tools and master none.

2. Use it for real work

   Not just playing around—apply it to actual tasks. That's how you learn what it's good at.

3. Learn to prompt well

   Clear, specific prompts get better results. Include context, examples, and constraints.

4. Always verify output

   AI makes confident mistakes. Check facts, test code, review for errors.

5. Find your workflow

   Tools should fit how you work, not force you into new patterns. Adapt tools to your needs.

The Reality Check

AI tools are genuinely useful. They save me time, help me learn, and handle tedious tasks. But they're tools, not magic.

The people getting the most value from AI are those who:

• Already have expertise in their field (AI augments skill, doesn't replace it)
• Take time to learn the tools well
• Verify and refine AI output
• Use AI for appropriate tasks (not everything)

If you're skeptical about AI hype, you're right to be. If you're ignoring AI tools entirely, you're missing genuine productivity gains. The truth is in the middle: useful tools with real limitations, worth learning but not worth believing everything you hear about them.

Start with one tool. Use it for real work. Learn what it does well and poorly. Then decide if you want more.