The $1,000/hour Solo AI business (Full Course)

Corey Gannon built a consulting business around small business owners' fear of falling behind on AI adoption. The core product is a $999 AI tools assessment targeting companies with two to twenty employees and $500,000 to $5 million in annual revenue. The model requires no coding, no audience, and no capital. The consultant prescribes existing off-the-shelf tools rather than building or implementing anything.

The assessment runs in four phases: a 45-minute recorded discovery call, Claude-based transcript analysis to identify pain points and match tools, a client-facing report built in Claude Artifacts, and a 30-minute delivery call. Early assessments get the consultant 60 to 70 percent of the way there and require human judgment to correct bad recommendations, but by the fourth to sixth assessment the Claude output is reliable enough for near-direct use. Tool directories used in research include Futurepedia.io, acquired by HubSpot, and There's An AI For That, which allows sorting by industry vertical. The report contains an executive summary, an effort versus impact priority matrix focused on high-impact low-effort wins, tool recommendations mapped to pain points, a four-day quick start plan capped at 10 minutes per day, and a financial impact slide. Every recommendation must pull one of three levers: making more money, saving time, or increasing quality.

The average client saves seven hours per week at roughly $60 per month in tool costs, producing a monthly net ROI Gannon describes as always in the four-figure range and sometimes five figures. Gannon offers a 100 percent money-back guarantee if at least five hours per week in AI opportunity cannot be identified. Approximately 50 to 60 percent of assessment clients want implementation done for them, turning the $999 fee into a trip-wire that pays the consultant to uncover upsell opportunities worth $3,000, $5,000, or $10,000 or more in lifetime value. The $999 fee can be credited toward a larger engagement to move a hesitant prospect, reducing a $5,000 project to $4,000.

The upsell menu includes process redesign priced at $3,000 to $3,500, simple automation builds using Zapier, Make.com, or n8n, knowledge systems, custom workflows, and recurring retainers. Gannon argues that automating a broken process before redesigning it causes the automation to fail, so redesign must come first. A knowledge system built for a business broker used a custom GPT trained on a listing's marketing package to handle 400 to 500 repetitive buyer emails per listing, reducing the broker's email burden to zero. Roughly 90 percent of automation use cases are described as better served by a Claude skill than by no-code tools, with a typical Claude skill taking 20 to 30 minutes to build. Retainer pricing examples include $3,000 per month for up to two knowledge systems or $2,000 per month for up to three automated workflows.

Gannon also sells a done-with-you AI concierge retainer structured as two 45-minute Zoom sessions per month, priced at $1,800 per month with unlimited Voxer access capped at a 12-business-hour response time. He closed five of the first six people he pitched, raised the price with each successive yes starting at $1,200 and reaching $2,000, and hit $8,000 in monthly recurring revenue within the first ten days. At $1,500 per month for two 45-minute calls the effective hourly rate is $1,000. Of five clients, only three used Voxer and each did so only once over roughly two and a half months, making that component nearly zero work while carrying high perceived value during pitching. Four of five clients achieved their stated 90-day goal within approximately 60 days, which Gannon uses as a natural upsell trigger.

Seven client acquisition methods are presented, all requiring no capital or existing audience. Door knocking is described as the single best way to learn sales and produces near-immediate results. One person visited 30 local service businesses, set up five meetings, and converted two into paying clients. LinkedIn outreach works best when the first message asks questions rather than pitches, and a hyper-local geographic hook increases reply rates. Hosting a local AI for business meetup positions the host as the expert, though meaningful client results typically come from the third through sixth event rather than the first. The AI office hours play involves approaching co-working spaces to offer free weekly consulting sessions to tenants. One community member contacted ten co-working spaces, secured two agreements, door-knocked local businesses to collect $175 in gift cards as attendance incentives, attracted 11 people to the first session, and set up follow-up calls with two of them. Agency partners such as accountants and marketing agencies hold large pools of ideal clients already asking AI questions, and consistent follow-up every two to three weeks is identified as the critical factor that determines whether those relationships produce referrals. Gannon notes that roughly 5 percent of companies currently use any AI tool other than ChatGPT, and that the market is large enough that widespread adoption of this model would still leave substantial opportunity remaining.