How we validated a new AI product the un-SaaS way — three lead magnets, three customer interviews, and a WhatsApp number instead of a dashboard.
How we validated a new AI product the un-SaaS way — three lead magnets, three customer interviews, and a WhatsApp number instead of a dashboard.
Before your product team commits to building an AI agent feature, read this. Camplight’s engineers ran the experiments — here’s what the cost models, hallucination risks, and architectural limits actually mean for your roadmap.
When launching a new B2B product, branding decisions shape trust, adoption speed, and team alignment. Learn how to decide between extending your existing brand or creating a new one — and why B2B product branding is a strategic investment, not a design afterthought.
Discover the three engineering principles — test-driven development, working in small steps, and modular architecture — that make AI-assisted product development reliable and production-ready at Camplight.
A tech cooperative shares how they’re validating an AI coaching product with real experiment data. 96 ignored cold messages, 55 Reddit comments before a post got removed, and the framing that actually resonates. Every experiment documented with real numbers.
If your 2026 AI roadmap still says “launch a chatbot,” you’re behind. We spent four days at MWC Barcelona and basically nobody serious was talking…
If we do not work together, we will not survive discussion on hackernews For most of history that sentence meant “humans must cooperate with each…
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