A Practical Approach to Adding AI to a Subscription Product

Coffee & Contracts is a marketing platform for real estate agents. Members love its templates and done-for-you content, but making those resources their own still took time and in particular is a learning curve for new members. A strong template was a useful starting point—it just didn’t always sound like them.

One of the team’s roadmap priorities was to bring more of the content-creation process into the product. Members were leaving to draft captions in ChatGPT, create graphics in Canva, and pull everything together across multiple tools.

That gave us a natural place to introduce AI—not for the sake of adding it, but to solve a clear user problem. Members needed an easier way to personalize their content, and external tools had become the simplest way to do it.

Each time they left, Coffee & Contracts lost a little of the value that brought them there in the first place.

The opportunity was clear: help agents create personalized content without leaving the product—and make the experience useful enough that they wouldn’t want to.

The Goal

1. Help agents create content that fits their audience and sounds like their brand
2. Keep members creating on-platform instead of piecing together free tools elsewhere
3. Drive adoption by making AI genuinely useful, not simply available

Why It Mattered

Real estate agents are busy, and creating consistent social content takes time. Writing captions, tailoring ideas to their audience, and making every post sound like their brand adds another job to an already full day. Members use Coffee & Contracts to make social media easier to manage, so any AI we introduced needed to reduce that workload.

Generic AI is everywhere. Adding a caption generator that produces the same kind of content for every agent might save a few minutes, but it wouldn’t create meaningful value for members.

Personalization wasn’t a nice-to-have. It was the whole point: the difference between a feature members try once and one they keep coming back to.

There was a competitive opportunity, too. Coffee & Contracts wanted to bring useful AI tools to market before other real estate platforms—but being first only matters if the experience is good. The brief was to move quickly, solve the right problem, and create something competitors couldn’t easily replicate with a generic AI integration.

What We Built

• We built Content Studio — an AI marketing assistant that lives inside the Coffee & Contracts app. Two decisions kept it from feeling generic: first, it learns who each agent is; then, it combines that context with the team's own real estate marketing expertise.
• A short "ideal client" survey captures each agent's niche, voice, market, and positioning.
• We worked closely with the team's marketing and real estate experts to shape the prompt frameworks behind every tool. The goal was to give agents the kind of focused direction they might get from an experienced social coach—not generic filler.
• That combination of member context and expert guidance powers everything downstream, including personalized reel hooks, b-roll scripts, sharper captions, email drip campaigns, and case-study posts.
• Building on that foundation, we're rolling out an Instagram audit and a lead-magnet and landing-page builder with a built-in CRM. Agents will be able to create content and capture the leads it generates in one place.
• For members who wanted to go further, we shipped a direct Claude integration. They can connect the platform's tools to the AI assistant they already use and create on-brand content from there.
• Behind the scenes, we built an admin layer that lets the Coffee & Contracts team tune prompts and switch AI models themselves—no engineering release required.

That last piece mattered more than it might sound. AI quality lives and dies by the prompt. By putting prompt and model controls in the Coffee & Contracts team's hands, we turned a quality improvement from an engineering release into a same-day change they could make themselves.

It also means the product can keep evolving as the technology does. Coffee & Contracts isn't locked into one model or dependent on developers for every adjustment. They can respond to member feedback, test improvements, and keep the experience useful over time.

The Results

The AI tools rolled out in phases, beginning with AI-generated captions in spring 2025 and expanding through 2026 into a personalized content suite. We instrumented adoption from day one so we could see whether members were actually using what we built.

Together, these numbers show two encouraging patterns: members are increasingly choosing to use the AI tools, and those who engage with them are also more likely to stay.

Within weeks of the first launch, roughly 16% of members were using an AI feature every week. Adoption stayed in the high teens through 2025, then climbed as we expanded the suite and improved the prompts behind it.

Weekly adoption now sits at around 30%, with peaks of up to 32%—close to a third of all members choosing to create inside the product each week.

Over the last 90 days, 60% of newly onboarded members engaged with at least one AI feature. That group cancelled at a rate of about 9%, compared with roughly 13% among members who didn’t use AI.

Using an AI feature doesn’t cause someone to renew on its own, but the relationship is encouraging. Members who engage more deeply with the product are also more likely to stay.

The Takeaway

The lesson wasn’t simply to add AI. It was to start with the friction members were already experiencing and find where AI could genuinely make their work easier.

For Coffee & Contracts, that meant helping agents create personalized content in less time—not adding another generic tool. The value came from combining what the platform knew about each member with the marketing expertise already behind the product.

That’s how AI becomes more than a checkbox feature: it solves a real problem, improves the experience, and gives the product an advantage that’s difficult to copy.