We modeled a typical solo operator's 14-tool AI stack over 90 days β vendor list pricing, savings estimated conservatively from published benchmarks and user reports. 8 of 14 tools fail an honest hours-saved-per-dollar test, 6 earn their keep. The keepers cost $88/month combined
What happens when a typical solo operator's AI stack β 14 paid subscriptions β goes through an honest 90-day cost-benefit audit? We built exactly that model: every tool at vendor list pricing, hours saved estimated conservatively from published benchmarks and real user reports instead of vendor claims. At day 90 the spreadsheet is unambiguous: eight tools get cancelled, six stay. This is what the math shows, what kills the eight, and why the six earn a permanent line in the budget.
The Methodology
This is a model, not a lab diary β and we say so. For each tool it estimates three numbers per week: minutes a typical operator spends inside the app, minutes saved versus the manual equivalent (estimated conservatively from published benchmarks and user reports, not vendor marketing), and whether the tool produces output that actually ships. At the end of each month every tool gets a score: hours-saved-per-dollar. Anything under 0.1 hours per dollar goes on the watchlist. Anything under 0.05 gets cancelled. No tool gets grandfathered in. We name the survivors and anonymise the cut tools to keep the focus on patterns, not pile-ons.
The Full 14-Tool Table
90-Day Audit: All 14 Tools, Sorted by Hours Saved per Dollar
| Tool | Cost/mo | Hrs Saved/mo | Hrs/$ | Verdict |
|---|---|---|---|---|
| Make.com (Core) | $9 | 14 | 1.56 | Keep |
| Opus Clip (Starter) | $19 | 8 | 0.42 | Keep |
| Kit (Creator) | $25 | 6 | 0.24 | Keep |
| Cal.com (Pro) | $15 | 3 | 0.20 | Keep |
| Gamma (Plus) | $10 | 4 | 0.40 | Keep |
| Fireflies.ai (Pro) | $10 | 5 | 0.50 | Keep |
| All-in-one AI writer | $89 | 3 | 0.034 | Cancelled |
| AI project mgmt + summaries | $49 | 1.5 | 0.031 | Cancelled |
| AI SEO research tool | $39 | 1 | 0.026 | Cancelled |
| Social scheduler (#2) | $29 | 0.5 | 0.017 | Cancelled |
| AI design tool | $25 | 0.5 | 0.020 | Cancelled |
| AI meeting scheduler (#2) | $25 | 0 | 0 | Cancelled |
| AI presentation tool (#2) | $16 | 0 | 0 | Cancelled |
| Notion-style AI workspace | $16 | 0.5 | 0.031 | Cancelled |
The 8 Cancellations: What Killed Them
The losers are not bad tools. Most are well-reviewed, well-funded, and used by thousands of operators. They lose because of how they fit into a real working week, not because of feature gaps. Four patterns showed up over and over.
- Redundancy with a tool already in the stack. Two of the eight (the second meeting scheduler and the second presentation tool) overlap ~80% with tools the stack already pays for. The pattern user reports describe again and again: you think you'll switch. You never do.
- The chat-wrapper problem. Three of the eight are essentially nicer interfaces around an LLM most operators already pay for via ChatGPT or Claude. Once you notice it, you can't unnotice it.
- The workflow that never gets built. Two of the eight only pay off after you set up new processes (project management with AI summaries, AI SEO research) β the kind that keeps getting postponed. After 60 days of postponement, a tool is clearly not solving an active problem.
- Hidden cost in switching. The all-in-one AI writer is the most expensive cut at $89/month. The real cost isn't the subscription β it's the roughly ten hours of migrating prompts, templates, and brand guidelines in, and later migrating them back out.
The most expensive cancellation pattern is the all-in-one tool. Anything that promises to replace 4-5 other tools usually does each job at 60% quality. You cancel four small subscriptions, sign one large one, then discover the large one can't actually do the niche thing you bought it for. Now you're paying twice.
The 6 Keepers β and Why They Stayed
Each of the six survivors clears a high bar: it saves at least two hours per week, it integrates into a workflow that runs every week (not every quarter), and the cost is recoverable in fewer than five working days of saved time. Here's what each one earns in the stack.
Make.com β $9/mo (Core plan, 10k operations)
The highest hours-per-dollar tool in the audit by a wide margin. The classic pattern from user reports: manual invoicing handoffs, lead-import flows, and a handful of separate Zapier zaps all collapse into Make scenarios. The visual builder takes a weekend to learn and then pays for itself for years.
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Opus Clip β $19/mo (Starter)
Repurposes a long-form podcast or video into 8-12 short clips per upload. Eight hours per month saved versus manual editing. The hours saved are real because we'd otherwise hire an editor at $40-60/hour for the same output.
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Kit β $25/mo (Creator, 10k subscribers)
Email infrastructure for creators and one-person businesses. The visual automation builder, native commerce, and tagging made it cheaper and simpler than the $49/mo all-in-one marketing tool we'd been using. Six hours per month saved on segmentation and broadcast prep.
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Cal.com β $15/mo (Pro)
Self-hosted scheduling that integrates with our calendar, payment processor, and CRM in one config. Replaced two paid schedulers (one was cancelled in this audit). Three hours per month saved on calendar back-and-forth β small in isolation, large across 36 weeks per year.
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Fireflies.ai β $10/user/mo (Pro, annual)
Records, transcribes, and summarises every call across Zoom, Meet, and Teams. Five hours per month saved on note-taking and action-item follow-up. The AskFred search across past meetings is the feature that made it sticky β searching by topic across 90 days of calls is something we now rely on weekly.
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Gamma β $10/mo (Plus)
Replaces PowerPoint and Google Slides for client decks. Four hours per month saved versus a manual design workflow in the model β and the output looks better, which matters more than the time savings for client-facing decks. The second AI presentation tool in the stack gets cancelled because Gamma covers the same ground.
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The Cost Math: 90 Days, in Dollars
Keepers vs Cancellations: 90-Day P&L
| Bucket | Monthly cost | Monthly hrs saved | Value at $50/hr | Net result |
|---|---|---|---|---|
| The 6 keepers | $88 | 40 | $2,000 | +$1,912/mo |
| The 8 cancellations | $288 | 7 | $350 | +$62/mo |
| Net stack (keepers only) | $88 | 40 | $2,000 | 22.7x return |
Combined break-even on the keeper stack: $88/month Γ· $50/hour = 1.76 hours/month. The stack saves 40 hours/month. That is a 22.7x return on subscription cost, or roughly a four-day payback every month. 5 Rules for Your Own 90-Day Audit
- Two-hour rule. Any new tool must save at least 2 hours/week within 30 days or it gets cancelled. No exceptions for tools we 'might use more later'.
- No category overlap. One scheduler, one writer, one slide tool, one automation hub. If a candidate overlaps with a tool already in the stack, the bar is replacement-or-nothing, not coexistence.
- 14-day calendar reminder on every trial. The default in our brain is 'I'll evaluate it later'. The calendar reminder makes 'later' a specific Tuesday.
- Migration cost is a real cost. Before signing up for any all-in-one tool, estimate hours to migrate in and hours to migrate out. If those exceed two weekends, default to no.
- Free tier first, paid tier when forced. In the model, five of the eight cut tools sit on paid tiers β upgraded because the free tier didn't show enough. The paid tier usually doesn't either. Free tier is the honest version of the product.
If you can't run a clean 90-day audit yourself, run a 30-day one. Pick three tools you're least sure about, set a hard cancel date, and log hours-saved per week. Most cancellation decisions become obvious in week three.
Run Your Own 90-Day Audit
Pick the category in your stack that's drained the most money over the past quarter and run the math first. Our free calculators give you the hours-saved-per-dollar number for any tool you're evaluating in email, content writing, scheduling, meetings, and ten other categories. For the framework behind the math, see how to calculate AI tool ROI. For more tools that hit the 30-day payback bar, see 10 AI tools that pay for themselves in 30 days.
Daniel P. is the founder of TaskROI. He builds the calculators and cost models behind every article β based on vendor list pricing and industry research by McKinsey, Harvard Business Review, and the Federal Reserve.