10 AI Tools That Are Changing the Way Creators Work

There are now somewhere north of 14,000 AI tools marketed at creators. The honest truth is that we’ve permanently adopted around ten of them. The rest fall into one of three categories:

1. Wrappers around an LLM with no defensible workflow.
2. Genuinely good tools that solve a problem we don’t have.
3. Tools we’ll use once a quarter and forget exist.

What follows is the small set that has actually changed how we work day-to-day.

Disclosure. Some of the tools below have affiliate programs. We have not enrolled in any. Where pricing is mentioned, it’s the rate we’re paying.

1. Claude (Anthropic) — for editing, not first drafts

We use Claude every day, but almost never to write from scratch. The strongest use is “edit this draft to be 30% shorter without losing the argument”. Pasted into a 3,000-word essay, it consistently produces a tighter version that requires only minor passes.

Why it earns the subscription. Long-context handling is the best in the field. We can paste an entire research dossier and ask for synthesis without chunking.

2. Descript — for podcast and video editing

Edit video by editing the transcript. Once you’ve worked this way, going back to a timeline editor feels like quill-and-ink.

Why it earns the subscription. Removes filler words and dead air automatically. The Studio Sound feature alone is worth it for anyone recording in untreated rooms.

Watch out for. The auto-captions are good but not flawless. Always run a human pass before publishing.

3. ElevenLabs — for voice work

For dubbing, voice-clones, and audiograms. The latest multilingual models are convincing enough that we no longer book a Spanish or German voice actor for short-form content.

Why it earns the subscription. Consistency. You can re-render a line without re-recording.

Ethics note. We only clone voices we have written permission to clone. We won’t cover tools that don’t enforce the same.

4. Runway — for B-roll and motion graphics

For 90% of B-roll, generative video has crossed the line from “novelty” to “cheaper than a stock-footage subscription”.

Why it earns the subscription. The new motion-brush features mean you can animate a still photo (or a generated image) in ways that would have taken hours in After Effects.

5. Topaz Video AI — for upscales and restoration

Not generative, but AI-powered. We use it to bring older interview footage up to publishable quality and to deinterlace tape-era source material.

Why it earns the subscription. No browser-based competitor is in the same league. Worth the one-time license.

6. Granola — for meeting notes that don’t suck

Granola sits silently on your laptop, transcribes your meetings, and writes a structured summary against the rough notes you typed during the call.

Why it earns the subscription. It’s the rare AI tool that produces output more useful than what you typed yourself, because it’s grounded in your notes rather than just “summarize this transcript”.

7. Perplexity — for first-pass research

We’ve almost stopped using Google for research-heavy questions. Perplexity returns sourced summaries, fast, with the option to drill into the citations.

Why it earns the subscription. Pro Search and the focus modes (“Academic”, “Reddit”) genuinely change what’s possible to find.

Watch out for. Always click through to verify a citation. Sourced doesn’t mean correct.

8. Cursor — for the technical creators

If part of your work is shipping software (a microsite, a Next.js project, an automation), Cursor is the editor we’ve replaced VS Code with. AI-assisted coding that feels like pair-programming, not autocomplete.

Why it earns the subscription. Multi-file edits are the killer feature. Asking the editor to refactor across the project actually works.

9. Topology — for thumbnail iteration

Generate a hundred thumbnail variants in the time it takes to make one in Photoshop. We don’t ship them straight, but they’re excellent inspiration starters.

Why it earns the subscription. Composition variations on a single concept. We routinely take a generated thumbnail and rebuild it by hand at higher fidelity.

10. Numerous.ai — for spreadsheet brain

A Google Sheets add-in that lets you call an LLM in a formula. We use it to classify thousands of survey responses, summarize transcripts in bulk, and tag URLs.

Why it earns the subscription. Replaces what would otherwise be ad-hoc Python scripts and lets non-technical teammates run the same workflows.

What we tried and dropped

A short rogues’ gallery, in case you’re considering them:

• Notion AI — useful, but underwhelming compared to opening Claude in another tab.
• Jasper — once category-defining, now hard to justify next to direct LLM use.
• GenAI thumbnail tools that promise “100 viral thumbnails per click” — uniformly bad without manual rework.
• AI “clip extractor” tools for podcasts — the auto-selected clips were consistently the wrong moments. We pick the clips ourselves.

How to evaluate a new AI tool

A short test we now run before subscribing:

1. Is the output closer to a draft or a deliverable? Tools that produce rough drafts only earn a place if the “rough” is meaningfully faster than starting from scratch.
2. Is it grounded in your data, or is it generic? Tools grounded in your data (transcripts, sheets, code) compound. Generic tools commoditize.
3. Do you trust the company in 18 months? AI tooling is consolidating fast. We’re wary of betting workflow on tools likely to be acquired and shuttered.

The ten above pass all three for us. We’ll re-run this list at the end of the year.