Real-world notes for founders navigating the messy road from idea to launched product.
OpenAI will add your feature to ChatGPT and kill your startup. Unless you build a real moat. Here are five strategies that create defensible AI products, not wrappers.
Most teams pick the wrong approach and waste months. Here's the decision framework: when to use prompt engineering, when to add RAG, and when fine-tuning actually makes sense.
90-95% of AI initiatives fail to reach sustained production value. Don't be a statistic. Here's a 2-week validation sprint to find out if your AI product idea is worth building before you spend six months building it.
You budgeted for API calls. You didn't budget for prompt engineering, monitoring, content moderation, and human escalation. Here's the real total cost of ownership for an enterprise AI chatbot.
Choosing between GPT-4, Claude, Mistral, and LLaMA isn't about picking the 'best' model—it's about matching capabilities to your business needs and budget. Here's the decision framework that actually matters.
Choosing an LLM provider for your startup? Compare OpenAI, Anthropic, and open-source options on cost, quality, reliability, and integration complexity.
Learn practical strategies for reducing AI costs without sacrificing quality, from caching to model routing to prompt optimization.
Learn the decision framework for when to build custom, buy off-the-shelf, or skip AI chat entirely for your startup.
AI features can make your MVP slower, more expensive, and harder to iterate. Learn the warning signs that AI is adding complexity your product doesn't need.
