I Replaced 10 Apps With AI — Here's What Worked

The Experiment

I challenged myself to replace 10 of my most-used daily apps with AI-powered alternatives for an entire month. No cheating — if an AI tool could do the job, I had to use it instead.

Here's what I replaced, what actually worked, and what made me crawl back to the original app within 48 hours.

1. Google Search → Perplexity AI

Verdict: ✅ KEEPER

This was the single biggest upgrade of the entire experiment. Perplexity gives you actual answers with sources instead of a page of blue links stuffed with SEO spam. For research queries, it's not even close.

**What surprised me:** I stopped opening 15 tabs to find one answer. Perplexity just... tells you. With citations. My research time dropped by roughly 60%.

**The catch:** For quick navigational searches ("Netflix login"), Google is still faster. I use both now.

Time saved per week: ~3 hours

2. Photoshop → Midjourney + DALL-E 3

Verdict: ⚠️ PARTIAL WIN

For generating social media graphics, thumbnails, and concept art — AI image generators are mind-blowingly fast. What took me 2 hours in Photoshop takes 5 minutes with Midjourney.

**What surprised me:** Midjourney v6 produces images that genuinely fool people into thinking they're photographs. The quality leap from v5 to v6 was enormous.

**The catch:** You can't do precise edits. Need to move an element 3 pixels to the left? Remove a specific object cleanly? Photoshop still wins for production-quality editing. AI generates, Photoshop refines.

Time saved per week: ~4 hours (for draft/concept work only)

3. Grammarly → Claude

Verdict: ✅ KEEPER

I used to pay $30/month for Grammarly Premium. Claude does everything Grammarly does — and more. It fixes grammar, improves tone, restructures paragraphs, and actually understands context instead of just flagging passive voice.

**What surprised me:** Claude caught nuance errors that Grammarly missed for years. It understood when passive voice was intentional and didn't flag it. It suggested better word choices, not just "correct" ones.

**The catch:** No browser extension. You have to paste text into Claude manually. Minor inconvenience for a massive quality upgrade.

Money saved per month: $30

4. Notion → ChatGPT with Memory

Verdict: ❌ FLOP

I tried using ChatGPT as my second brain — storing notes, project plans, and reference material in conversations. It was a disaster.

**What went wrong:** ChatGPT's memory is inconsistent. It "forgets" things you told it three conversations ago. Search is nonexistent. You can't organize anything. Notion's databases, linked pages, and templates are irreplaceable for actual knowledge management.

**Lesson learned:** AI is great at generating content, terrible at organizing it. Notion stays.

5. Canva → ChatGPT + DALL-E 3

Verdict: ⚠️ PARTIAL WIN

For one-off social posts and quick graphics, DALL-E 3 through ChatGPT is surprisingly capable. Describe what you want, get a polished image in seconds.

**What surprised me:** The text rendering in DALL-E 3 actually works now. You can generate images with readable text overlays — something that was impossible a year ago.

**The catch:** No templates, no brand kits, no batch resizing. For anyone managing consistent brand assets across platforms, Canva is still essential. AI generates the raw visuals; Canva makes them brand-consistent.

Best combo: DALL-E for unique images → Canva for layout and branding

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6. Zoom Transcription → Otter.ai

Verdict: ✅ KEEPER

Zoom's built-in transcription is mediocre. Otter.ai is transcription on steroids — it identifies speakers, generates summaries, pulls out action items, and lets you search through meetings by keyword.

**What surprised me:** The AI-generated meeting summaries are actually usable. I send them to clients instead of writing my own recaps. Nobody has noticed (or they're too polite to say).

Time saved per week: ~2 hours

7. Excel → ChatGPT Advanced Data Analysis

Verdict: ⚠️ PARTIAL WIN

For quick data analysis, creating charts, and writing formulas — ChatGPT's data analysis mode is incredible. Upload a CSV, ask questions in plain English, get answers with visualizations.

**What surprised me:** I asked it to "find the outliers in my sales data" and it created a box plot, identified the anomalies, and explained possible causes. That would have taken me 45 minutes in Excel.

**The catch:** For complex spreadsheets with multiple linked sheets, pivot tables, and macros — Excel (or Google Sheets) is still king. AI handles analysis; spreadsheets handle ongoing data management.

Time saved per week: ~1.5 hours

8. Spotify Discover → AI Music Recommendations

Verdict: ❌ FLOP

I tried asking Claude and ChatGPT to recommend music based on my taste. The suggestions were generic "if you like X, try Y" recommendations that any music blog could give.

**What went wrong:** AI doesn't have access to your listening history, mood patterns, or the collaborative filtering that makes Spotify's algorithm so good. It can't analyze audio features or factor in what millions of similar listeners enjoy.

**Lesson learned:** Recommendation engines built on behavioral data still crush general-purpose AI.

9. Loom → AI Video Generators

Verdict: ❌ FLOP

I tried replacing quick screen recordings and video messages with AI-generated videos. Tools like Synthesia and HeyGen can create talking-head videos from text.

**What went wrong:** They look AI-generated. Uncanny valley is real. For internal team updates and client walkthroughs, authentic screen recordings with your actual voice build trust in a way that AI avatars simply cannot.

**Where AI video DOES work:** Training content, product demos for marketing pages, and multilingual translations of existing videos. Not for personal communication.

10. Todoist → ChatGPT Task Planning

Verdict: ❌ FLOP

I asked ChatGPT to be my task manager — breaking projects into subtasks, prioritizing my day, tracking deadlines. It created beautiful task lists... that I could never find again.

**What went wrong:** No persistence. No notifications. No recurring tasks. No integration with calendars. A task manager needs to be a persistent system, not a conversation.

**Lesson learned:** AI is excellent at planning; it's terrible at managing. Use AI to create the plan, then put it in a real task manager.

The Final Scorecard

Here's the honest breakdown after 30 days:

The Pattern I Noticed

The AI tools that worked shared three traits:

The ones that flopped tried to replace **systems** — tools that need persistent data, integrations, and ongoing state management.

My Actual Tech Stack Now

After the experiment, here's what I actually use daily:

The Bottom Line

AI replaced 30% of my software stack completely and improved another 30%. That's a genuine productivity gain of roughly 10 hours per week.

But the hype about "AI replacing everything" is premature. The tools that organize, persist, and integrate your work — Notion, Todoist, Canva, Spotify — aren't going anywhere yet.

The smartest approach? Use AI to **accelerate** your existing tools, not replace them entirely. The combination is more powerful than either alone.

Total monthly savings: $30 (Grammarly cancellation)

Total weekly time saved: ~10.5 hours

Satisfaction level: 8/10 — would experiment again