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AI tools for entrepreneurs: 8 picks worth testing
Startups and entrepreneurship

AI tools for entrepreneurs: 8 picks worth testing

Oliver Fenwick AI 7 min read
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A solo YouTube host spent nights and weekends testing eight AI repos and skills, then sorted out which ones are actually worth an entrepreneur's time.

Greg Isenberg spends evenings and weekends testing software most founders never hear about. On his YouTube channel, he recently walked through eight GitHub repositories and AI skills he tries himself, explaining what each one does and one concrete way it could make money for someone running a lean business. The list is a useful reminder that AI tools for entrepreneurs don’t have to come with a subscription fee attached — most of what he tested is free to download, and the real cost is the AI model you choose to run it with.

Launch Videos and Customer Research: Tools That Start the Conversation

Two of the eight picks work as a pair. The first, Brag, turns a project or a website link into a short launch video complete with music, motion, and post copy. Isenberg uses a lighter version called Brag Slim, built for the Opus 5.5 model, and picks a vertical, square, or landscape format before redoing any scene that feels off.

What makes Brag interesting for a small business isn’t the video itself — it’s what doing the work upfront replaces. A finished launch video, like a quick design fix done without being asked, can open a conversation in place of a cold email. That only works if the product behind the video is actually different from the one down the street, a point worth weighing alongside our piece on why lookalike brands fail to stand out even with good marketing behind them.

The second tool, Agent Reach, sets up the research an agent needs to dig through YouTube, Reddit, and X for a given topic. Isenberg uses it for customer research, searching for phrases like “I export it,” “I copy this into,” or “does anyone know a workaround,” then reaching out to the people who wrote those posts. It’s a direct way to find a real complaint before building anything to fix it. Of the eight tools he tested, Isenberg named Brag and Agent Reach his two favorites — one covers the pitch, the other covers the homework that should come before it.

Voice, Decks, and Teams of AI Agents

Voice Studio is a desktop app for AI voice work, similar in spirit to familiar cloud voice tools but built to run models locally on your own hardware — a faster computer helps. It generates speech, clones a voice from a short recording, and dubs video into other languages. Isenberg’s suggested starting point is practical: record yourself briefly, then translate the tutorials behind your three most common support questions, with a fluent speaker checking the result before it goes live. Done consistently, that habit turns into a recurring service: translated onboarding videos for other companies, billed monthly.

PPT Master turns documents or notes into an editable slide deck and accepts a company’s own template. Isenberg tests new tools like this on a proposal he’s already written, with the private details stripped out, so he knows what a good result looks like before trusting the tool with a live pitch.

OpenRig organizes coding agents into something closer to a small team: one agent builds a change, another checks it, and the work passes back and forth between them. It works with Codex and Claude Code, runs on Mac or Linux with Node and Tmux installed, and changes some of an agent’s existing settings — worth reading closely before running it. That kind of arrangement fits a pattern we’ve tracked before: the agent harness isn’t disappearing, it’s changing what the job looks like, shifting a developer from writing every line to reviewing what a team of agents produced. The caution about settings is worth taking seriously, too — tools like this are most useful when they come with real limits, not just promises, which is exactly the argument in our look at why AI safety starts with limits, not promises.

Three Skills Worth Installing Before You Build Anything

Alongside the repos, Isenberg tested three “skills” — reusable sets of instructions for an AI agent, sometimes bundled with scripts and examples, built so you stop rewriting the same giant prompt every time you want the same kind of help.

  • Free Tools, from Corey Haynes’s marketing collection, helps work out what to build and give away to attract the right customers — the lead-magnet question every small business eventually asks.
  • Grill Me, built by Matt Pocock, interviews you about an idea or a decision in rounds, following up on your own answers and logging the assumptions you make along the way, so you can check them against a real customer before you build anything.
  • Impeccable gives agents design guidance — the kind of everyday guardrail that keeps an AI-assisted interface from looking like it was assembled by five different people with five different opinions.

Isenberg says he’d run an idea through Grill Me before building something he’s genuinely excited about, which is often the exact moment founders skip validation altogether.

Does the Math on Ten Clients at $1,000 a Month Actually Work?

Isenberg’s back-of-envelope case for why any of this matters commercially comes down to one line: ten clients paying $1,000 a month is $10,000 a month, and that cash flow is what funds the move from doing services by hand to building the technology itself.

Ten clients paying $1,000 a month is $10,000 a month, and that cash flow is what funds the move from doing services by hand to building the technology itself.

The posts Agent Reach is built to surface — complaints on Reddit, X, and YouTube about a task people still do manually — are themselves a sales pipeline. Fixing one of those tasks by hand, for pay, is a service. Packaging the fix as a tool later is the business. None of this is new, exactly; founders have always built out of necessity with whatever is on hand, in the same way that many decisive inventions were born in wartime, under pressure and without much budget. What’s changed is how cheap the first version of “whatever is on hand” has become.

Key Takeaways for Entrepreneurs

The thread running through all eight picks is the same one running through most useful AI tools right now: they work best when they replace a task you already understand, not when they promise to hand you an entire business plan. AI tools for entrepreneurs are increasingly free to download, with the real cost sitting in the model subscription behind them. That means the barrier to trying one of these on a weekend has mostly disappeared.

The bigger takeaway is about sequencing. Research the complaint before pitching the fix. Test the tool on something low-stakes before trusting it with a client. Interview your own assumptions before you spend a weekend building around them. None of the eight tools Isenberg covers will build a business on its own, but used in that order, each one removes a little more of the busywork standing between an idea and a paying customer.

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Oliver Fenwick AI

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Oliver Fenwick AI

Startup reporter

Every pitch sounds great until you ask about cash flow.

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