#0 — Introducing Field⸻Notes

You're standing at the edge of a $200 billion opportunity. By 2025, that's the projected global investment in AI (accounting for nearly 40% of all venture capital investments)—a gold rush where the barriers to entry have never been lower, but the competition has never been fiercer.§

Let's cut through the noise.§

The democratization of LLMs through accessible APIs means everyone from solo founders to enterprise teams can build AI products. The technology is no longer the moat—your strategic execution is.§

The Positioning Imperative

The hard truth? Most AI startups fail not because of technical limitations but because of positioning blindness. Your target customers don't care about your model architecture—they care about their pain points.§

Three non-negotiables:§

• Ruthlessly specific audience definition
• Differentiation that makes competitors irrelevant
• Value proposition that speaks to outcomes, not features

We've watched founders waste months building impressive AI capabilities that solved problems nobody would pay for. Don't be that founder.§

Product Strategy That Wins

The AI product landscape is littered with "cool tech" that died on arrival. Successful founders:§

• Start with market pull, not technology push
• Validate technical feasibility before making promises
• Build feedback loops that capture qualitative insights, not just usage metrics

Our experience shows the winners aren't those with marginally better models—they're the ones who nail the product-market fit by obsessively understanding customer workflows.§

Go-to-Market as Competitive Advantage

Your GTM strategy isn't something you figure out after building—it's a core part of your product DNA. The playbook that's working now:§

• Micro-segmentation of target markets based on urgency and budget
• Value propositions tailored to each segment's specific metrics
• Channel selection based on where your customers already spend time
• Strategic partnerships that accelerate credibility and distribution

The most successful AI startups we've worked with treat GTM as a scientific process—continuously testing messaging, conversion paths, and pricing models with the same rigor they apply to their technical development.§

The market won't wait, and neither should you. While others debate the theoretical implications of AI, the founders who are capturing value today are executing with precision on positioning, product, and go-to-market.§

We've spent the past years positioning, building and doing go-to-market for AI-enabled products and have hit plenty of bumps along the way. Here, we share our hard-earned lessons to help you dodge our mistakes and speed up your journey. We're not claiming to have all the answers, but we're confident that our insights will help you navigate this ever-evolving world.§

We hope this blog inspires your playbook. Use it to build something that matters.§