How to Find First Users for AI Agents: A Roadmap for B2B SaaS Founders
Founder, Hustlin.ai · September 26, 2026
How to Find First Users for AI Agents: A Roadmap for B2B SaaS Founders
The landscape of B2B SaaS is shifting. We have moved past the era of simple "software as a tool" and entered the era of "software as a teammate." However, building a sophisticated AI agent is only half the battle. For many founders, the most daunting hurdle isn't the prompt engineering or the vector database—it’s the cold start problem. Knowing how to find first users for AI agents requires a different playbook than traditional SaaS because you aren't just selling a UI; you’re selling trust, autonomy, and an outcome.
In this guide, we will break down the specific strategies B2B founders can use to identify, reach, and convert their first 10 to 50 users for an AI-driven product.
1. Identify "Hair-on-Fire" Problems Suited for Autonomy
Before you start your outreach, you must realize that AI agents are currently viewed with a mix of excitement and skepticism. To find your first users, you cannot target "nice-to-have" automations. You need to find "hair-on-fire" problems—tasks that are high-volume, tedious, and expensive for a human to perform, yet structured enough for an agent to handle.
When researching how to find first users for AI agents, look for industries where:
- Data entry and retrieval are bottlenecks: (e.g., legal discovery, medical billing, or logistics).
- Response time is critical: (e.g., customer support or lead qualification).
- The cost of a human error is high but the logic is repeatable: (e.g., compliance monitoring).
Your first users will be those who are so frustrated by the status quo that they are willing to tolerate the "beta" nature of an early AI agent in exchange for a solution.
2. Leverage Niche Communities and "Builder" Ecosystems
The early adopters of AI agents are often other builders and forward-thinking entrepreneurs. They understand the technology's limitations and are more likely to provide the high-quality feedback you need to iterate.
Don’t just blast your link on General Slack channels. Instead, go where the "builders" hang out. Platforms like Hustlin.ai are designed specifically for this purpose—acting as a hub where entrepreneurs come to launch and grow their startups in the new AI-powered economy. By engaging in these ecosystems, you aren't just looking for "customers"; you are looking for design partners who want to be at the forefront of the intrapreneurship movement.
Other places to look include:
- Specific Subreddits: Look for r/AutoGPT, r/LangChain, or niche industry subs like r/SalesOps.
- Discord Servers: Join developer-centric and founder-centric servers where the "AI-curious" gather.
- Product Hunt (Ship): Use early-access lists to gauge interest before a full launch.
3. Mastering Outreach: How to Find First Users for AI Agents via Direct Connection
Cold outreach for AI agents shouldn't look like a standard sales pitch. Because agents are autonomous, your prospects’ biggest fear is "losing control" or the agent "hallucinating" in front of a client.
To overcome this, your outreach should focus on a "Shadow Mode" offer. Instead of asking them to replace their current workflow, ask them to let your agent "shadow" their work for a week to show what it would have done.
The "How to Find First Users for AI Agents" Outreach Script Template:
> "Hi [Name], I noticed [Company] handles a high volume of [Specific Task]. We're building an AI agent specifically to automate the [Pain Point] part of that workflow. We aren't looking for a sale—we're looking for a design partner to let our agent run in the background and compare its output to your current manual process. Would you be open to seeing the comparison data after five days?"
This low-friction entry point lowers the barrier to entry and provides you with the real-world data you need to prove your agent’s ROI.
4. Content as a Proof of "Reasoning"
With traditional SaaS, you show screenshots of the dashboard. With AI agents, you need to show the "thought process." Founders who succeed in finding first users often do so by "building in public" and sharing the agent's logs or reasoning chains.
When people search for how to find first users for AI agents, they often overlook the power of educational content. Create videos or LinkedIn posts that show:
- The "Chain of Thought": Show how the agent handled a complex, non-linear task.
- The Error Handling: Show what happens when the agent gets stuck and how it asks for help. This builds immense trust.
- The Integration: Show the agent moving data between two tools (e.g., from an email to a CRM) without human intervention.
By showing the "brain" behind the agent, you attract users who have been burned by "dumb" automation in the past and are looking for the sophisticated reasoning your agent provides.
5. The "Concierge" Onboarding Strategy
For your first ten users, do not aim for a self-serve "PLG" (Product-Led Growth) model. AI agents are notoriously difficult to configure for the first time. If a user spends 10 minutes trying to connect their API keys and fails, they are gone forever.
Instead, offer a "Concierge Onboarding."
- Do the setup for them: Manually configure their first "run."
- Monitor the logs: For the first week, watch every action the agent takes.
- Correct in real-time: If the agent makes a mistake, fix it before the user even notices.
- Lifetime "Founding Member" pricing.
- Direct access to the founding team's Slack/WhatsApp.
- A seat on your product roadmap committee.
This high-touch approach ensures that your first users actually experience the "magic moment" of the agent working autonomously. This success leads to the case studies and testimonials that will drive your next 100 users.
6. Utilizing Intrapreneurship Platforms
In the enterprise world, the decision-makers are often "intrapreneurs"—people within a large organization trying to innovate from the inside. These are your ideal first users for B2B AI agents.
Platforms like Hustlin.ai serve as a bridge here. By positioning your agent as a tool for the "builder" within a company, you tap into a segment of the market that is actively looking for ways to leverage the AI economy to improve their internal operations. These users have the budget and the problem, but they need the right platform to discover the tools that can help them scale their internal initiatives.
7. Incentivize with "Lifetime" Value
Early users of AI agents are taking a risk on you. They are dealing with bugs, evolving UIs, and the occasional hallucination. Reward that risk.
Instead of a standard 14-day trial, offer your first 20 users:
When you treat your first users like stakeholders rather than just customers, they become your most vocal advocates.
Conclusion: Starting the Engine
Learning how to find first users for AI agents is less about mass marketing and more about precision engineering your early relationships. It requires finding the intersection of a painful problem, a builder-friendly community like Hustlin.ai, and a transparent "shadow-mode" approach to building trust.
Focus on the "unscalable" work today—the manual onboardings, the deep-dive feedback calls, and the custom configurations. The insights you gain from these first few users will be the foundation upon which you build a truly autonomous, scalable AI powerhouse. The AI economy is moving fast; the best time to find your first user was yesterday. The second best time is today.