I struggle to launch my AI/SaaS ideas despite confidence in building them; I get stuck between starting a SaaS or an AI agency and doubt my ability to create valuable products.
The feeling you describe is akrasia — knowing what to do but not doing it because the required activation energy feels too high. To overcome this, consider the two business models you mentioned. A SaaS model is highly scalable but requires product‑market fit and can take years to generate revenue, during which you burn runway with no income. An agency model, by contrast, lets you earn money quickly (e.g., $20k in the first month) but is hard to scale and lacks predictable recurring revenue. I recommend a blended approach: start with an agency to generate early cash flow and runway, use that revenue to fund your SaaS development, and then gradually shift from manual implementations to a SaaS product. This path takes longer to reach the same scalability as a pure SaaS, but it yields far more money in the early years and gives you proven business‑owner credibility, which makes raising funds or reinvesting easier.
An agency is just one of many scalable business models, but it’s generally harder to scale an agency to $250k a month compared to SaaS or e‑commerce. It’s relatively easy to hit $10k a month with an agency—one 10k client or a couple of 5k clients can be secured in 30 days, even by a complete beginner. Building a SaaS product that generates $10k recurring revenue in 30 days is far more difficult, as is scaling e‑commerce to the same level because of thin margins and higher workload. Agencies tend to cap out sooner, whereas SaaS and e‑commerce have longer growth curves. For total beginners, starting with a service‑based business is advisable because you lack the technical skill to create a SaaS product and need to learn how to identify and solve business problems first.
I think packaging automation as a SaaS product is cool. I've done this before for many viewers. You can view it as a way to improve consolidation, but essentially you can treat SaaS as either green or blue—just a label. SaaS product growth over time is tricky at first, then you hit product-market fit and scale rapidly. For most of the lifetime, especially the first couple years, you make basically no money, unlike an agency or service implementation where you can earn a fair amount right away. Agency revenue tends to be up and down and hard to scale; after 2-3 years, an agency might still be where it started, while a SaaS product could have completely overshot it. So there are pros and cons depending on the time scale you plan for. Market dynamics also help—SaaS is becoming easier to build with no-code tools. Additionally, you can package an automation as a SaaS but still sell it as a service implementation. For example, take your automation workflow and have Lovable or Bolt create a simple front end for it. If you want more nuance, check out a video where I actually built one. I don't recall which specific video it is, but there's an example: me wearing a backward baseball cap, turning a 2K automation into a 10K SaaS no-code product using Lovable to package the automation I built as a SaaS product resembling a little proposal generator. You can try that approach, but still sell it as a service. Hopefully that answers your question.
He says you first need to anchor what a lot of money means. AI automation agencies have the lowest barrier to entry and lowest capital cost—comparable to website design agencies in the late 1990s or social-media marketing agencies in the early 2010s. In this space, a lot of money is probably just a few hundred dollars. Any business outside this vertical will cost significantly more than a few hundred to get up and running over a three-month period, so you should expect to spend money to make money. Regarding your specific situation—bidding for email-setup projects on Upwork—lack of experience isn't a time issue; it takes only a couple of weeks to become proficient with any tool well enough that someone will pay you to save them time. So you should combine learning and prospecting. He recommends doing Maker School's introductory automation agency tutorials to gain foundational knowledge and learn to read the language of the tools. Once you understand the language, you can communicate with AI, use Google to find answers to specific questions, and you don't need to know how to do everything right away. The key question is whether a future version of you could solve this problem in the next couple of weeks—and the answer is almost always yes.
AI will create ads, films, and music videos much faster and for far less money—no production or audio teams needed, as the AI handles scripting and auto‑fixes everything. The output comes from natural‑language prompting; those who know how to prompt the models will do best, though that skill will fade as models become better at prompting themselves. You can definitely earn $10k/month with this right now, maybe for a couple of years. I’m still a beginner in AI automation agencies, but I know some basics and have built a few automations. Your next step is to get in front of paying customers, articulate their needs and problems, and show how your solution helps. There’s no other path—it’s messy, like entering a gladiatorial arena with tigers; you have to win your first fight to earn praise. Start by signing up on Upwork or freelancer.com, treat yourself as a low‑paid API endpoint, gain experience and money, then move to cold email, ads, or other channels to build a sustainable method.