unremarkable.ai: Practical AI Insights for Business and Product Teams

unremarkable.ai is an independent publication by Ken Collins, dedicated to delivering real-world, actionable AI applications tailored for business and product professionals. Without requiring advanced data science or machine learning knowledge, it empowers teams to leverage AI effectively through expert guidance in ideation, strategy, feasibility, and AI enablement. With a foundation in GenAI and agentic AI architectures using AWS Lambda & Bedrock, and recognized as an AWS Serverless Hero in 2020, the platform bridges the gap between cutting-edge AI and practical implementation. Its content is thoughtfully curated and published via Ghost and Porto, offering a clean, professional experience for readers.

Key Features:

• Practical AI Applications: Real-world solutions for business and product teams.
• No-Code AI Guidance: Enables non-technical users to apply AI without deep expertise.
• Ideation & Planning: Helps teams brainstorm and structure AI initiatives.
• Feasibility Assessments: Evaluates the viability of AI projects in real business contexts.
• Business Strategy Integration: Offers strategic frameworks for AI adoption.
• Education & Coaching: Provides training and mentorship for AI team enablement.
• Newsletter Subscription: Delivers regular updates on the latest insights and posts.
• Expert Authorship: Content driven by Ken Collins, an AWS Serverless Hero with deep experience in GenAI and agentic systems.
• Web3-Ready Publishing: Built with Ghost and Porto for modern, scalable content delivery.

Pricing: unremarkable.ai offers a Free newsletter subscription with optional paid services available through appointment booking, making it accessible and flexible for users at all levels.

Conclusion: unremarkable.ai stands out as a trusted, practical resource for business and product teams seeking to implement AI effectively—delivering expert insights without the complexity, empowering innovation through accessible knowledge and strategic coaching.