What I Built With Claude's Newest Model in One Afternoon (And What It Replaced)
I've been experimenting with Claude's newest model, Fable, and I want to tell you about the thing I built with it, because it genuinely surprised me.
Here's the situation I was in. I'm a solopreneur. No research team, no data analyst, no junior marketer to hand a project to and say, "Come back to me in two weeks." If I want market intelligence, I either buy it, outsource it, or go without it. Most of the time, as a fractional CMO working across multiple edtech clients, I've gone without it. Not because it isn't valuable. Because the cost and the timeline have never made sense for one person.
So I decided to see what would happen if I treated Fable like a research analyst instead of a writing assistant.
The brief that started it
I gave it a role, a task, constraints, and my vision for the desired outcome. I’d read from other Claude experts that when it comes to Fable, less is more in terms of the initial prompt. My first prompt looked something like: “You're a research analyst working with me, a fractional CMO serving K-12 and higher ed edtech companies. Build a brand tracker scanning Reddit and trusted edtech industry voices. I want quantifiable share of voice, brand themes, sentiment, something trackable over time, and exportable to blog content. Ask clarifying questions before you start.”
That last line mattered more than I expected. Fable came back with real questions. Open discovery or a fixed watchlist of brands? Which segments matter? (Fable prompted me with the following segments: K-12, higher ed, AI in education, and workforce. I couldn’t pick, so I selected all four to be refined later.) Which sources actually count as trusted? Those questions settled the whole foundation before a single search happened.
What came out of it
Four iterations later, in one working session, I had a two-file, browser-based dashboard tracking 17 brands and 6 industry themes across 4 market segments. It scores share of voice three ways (earned, owned, and total, so a brand's own promotion never gets to count as market perception. This distinction was prompted by Fable, and I loved it.) It clusters sentiment with actual citations behind every score, not just a number I'd have to take on faith. I wanted to see how a brand’s campaign work could influence SoV, so it created an "amplification ratio" that shows whether a brand's campaign spend is actually landing with the market or just shouting into the void. And it created a rule that’s very helpful for me and my clients: if my client shows up with zero mentions in a given week, the dashboard shows the zero. It doesn't hide it. That zero, next to a competitor holding real share of voice, is a very useful data point.
The value of iteration: None of this happened because I typed one perfect prompt. It happened because Fable and I went back and forth like colleagues. I'd ask "what would you change to make this as accurate as possible?" and it would name real weaknesses (SEO listicle farms inflating the counts, a brand's own blog counting toward its own share of voice) and fix them. When we tightened the source list, total tracked mentions actually dropped from 88 to 54. That initially felt like a flaw until I realized it reflected the accuracy I was looking for.
What this replaced (and made possible)
Here's the part I keep coming back to. If I'd wanted this same capability without Fable, I had two options, and neither of them works for a solo operator.
Option one: hire it out. A single deep competitive intelligence report from a freelance analyst typically runs somewhere between $5,000 and $15,000 for multi-competitor analysis, according to a 2026 market research cost breakdown from MX8 Labs, and freelance market researchers themselves bill $40 to $300 an hour. And that gets you a one-time snapshot, not something that updates weekly.
Option two: buy the software. Enterprise social listening platforms like Brandwatch, Meltwater, and Talkwalker are the tools built for exactly this kind of tracking. They are all extremely valuable enterprise tools, yet none of them are built for a company of one, and many of my clients are too early stage to afford them. Vendr's 2026 pricing data puts Brandwatch's median annual contract around $50,000, with entry pricing on Meltwater starting around $15,000 to $25,000 a year and Talkwalker's base plans around $9,600 a year, all requiring 12-month commitments.
I built something that does the job those tools are meant to do in an afternoon, for the cost of a Claude subscription.
That's the real story here. It's not that AI wrote something for me. It's that AI made a category of work financially and logistically possible for a solopreneur that simply wasn't possible before.
What I'd tell another solo operator
I'm not saying Fable replaced judgment. It didn't decide which sources counted as trustworthy; I did. It didn't decide that a quiet client still deserved to be shown on the dashboard; I did. What it replaced was the weeks of manual research, the analyst I couldn't afford to hire, and the enterprise software contract I could never sign as a business of one.
If you're building a personal brand or running a business solo, I'd encourage you to try the same thing I did: Treat AI like a business colleague, like another employee in your company. In this case, I treated Claude like a research partner with whom I collaborated and iterated to create a really valuable output.
I'll be running this tracker weekly from here, and I'm planning to share some of what it surfaces (starting with a genuinely interesting finding: the biggest conversation in edtech right now isn't about any one brand, it's about vendor trust and data security) in upcoming posts.
Let's Talk
If you're a fellow solopreneur or fractional leader curious about how you're using AI to close the resource gap, I'd love to hear about it.
Sources
Vendr, "Brandwatch Software Pricing & Plans 2026" and "Meltwater Software Pricing & Plans 2026," 2026. vendr.com/marketplace
MX8 Labs, "What Market Research Actually Costs in 2026: A Transparent Breakdown," May 2026. mx8labs.com