Jordan Bench

Two months ago, I had a side project that felt permanently stuck. For nearly two years, we hovered around 40-50 paying users with no growth in sight. The product was solid, our users loved it, but traction felt impossible. Frustrating doesn't begin to cover it.

I needed a breakthrough.

Then, one night after hours of deep-diving into strategies, frameworks, and growth hacks, I realized something crucial: I wasn't fully leveraging AI, and neither was anyone else around me.

Reality Check: Most People Use AI Superficially

ChatGPT is everywhere. Yet most people (myself included) had been using it like a smarter search bar, asking basic questions and expecting miracles.

The hard truth: AI, especially "deep research" capabilities, was vastly underutilized because most people don’t know how to prompt it effectively or when exactly to deploy it.

I realized AI could do more than spit out generic responses—it could drive critical business decisions if leveraged intentionally.

Framework: Context + Habit = Strategic Deep Research

To truly leverage AI, two things matter most:

Habit: Regularly engaging AI at the right moment to address your real problems.
Context: Providing rich, relevant context so the AI can deliver meaningful insights.

Here's the mental model that turned things around for me:

End-of-Day Context Capture: Jot down or record your day's most pressing questions or challenges via text, voice note, or quick phone call.
AI Prompting: Use captured context to craft precise, context-rich prompts designed to generate actionable insights—not surface-level summaries.
Overnight Processing: Let AI conduct deep, extensive research while you sleep.
Morning Clarity: Wake up to concise, targeted insights ready to inform your day.

This habit became my daily ritual. And the impact? We quadrupled our paying customers from 50 to 200 in just two months.

The Opportunity: AI Research Demand is Exploding

The market opportunity here isn't small, it's massive.

Keyword search trends reveal tens of thousands of monthly searches for terms like "AI research," "AI for researchers," "AI market research," and "competitor research analysis." Clearly, businesses and individuals are actively seeking more sophisticated ways to leverage AI strategically.

Yeah, the field is competitive but that's precisely why it's exciting. Competition validates demand. There's enormous potential starting with individuals (B2C) and expanding into business segments (B2B) like:

Strategy consultants
Product managers and marketers
Corporate development teams
Investor relations and market analysts

The total addressable market (TAM) for strategic, context-rich AI research is large and growing rapidly, creating significant potential for scale and meaningful compensation.

Turning My Personal Success into a Validated Idea

What if I wasn't the only one missing out?

My hypothesis: most people want the strategic insights AI can deliver but they lack the habit, context-capturing systems, prompting skills, or simply the time.

To test this idea, I'm starting with a manual validation phase focused initially on individuals (B2C):

Personalized Context Gathering: I'll manually collect context via text, voice notes, phone calls or whatever's easiest for the user.
Manual Deep Research: Using the gathered context, I'll craft tailored AI prompts and deliver actionable insights by morning.
Pricing as a Service: Initially, I'll price higher to reflect the personalized nature of the service, potentially hiring virtual assistants as demand grows.

Once validated, this model can seamlessly shift to B2B by automating context collection via integrations like CRM, Slack, email, Teams, or phone systems.

Pricing Insights & Positioning (Early Thoughts)

For businesses, here's how this could scale:

$99–$299/month per seat: Ideal for focused teams needing rapid, targeted insights.
$499–$1,500/month: For 10–20 users, deeply integrating into team workflows.
Custom enterprise tier: Tailored for privacy needs, domain adaptation, or white-label delivery.

It's not another chatbot; it's your automated research analyst, plugging directly into your existing workflows, quietly delivering strategic clarity by sunrise.

Next Steps & A Quick Ask

Here's my immediate roadmap:

Validate manually: Start small, test rigorously, and refine.
Launch landing page: Capture early interest and measure traction.
Develop MVP: Productize and scale based on clear validation signals.

Here's where I need your help:

Is this something you'd use, or do you know someone who desperately needs deeper, more strategic AI-driven insights?