HIMSS 2026Healthcare AI
HIMSS 2026 Day 3: Network, Network, Network
CEO meetings, LinkedIn brand moments, healthcare marketing gaps, startup pavilion reality checks, and 14K steps of pure networking.
March 11, 20269 min read
Blog
Practical insights on building AI products, go-to-market strategy, and lessons from launching four startups in 16 months.
Every article here comes from hands-on experience shipping AI products, not theory. From choosing between fine-tuning and RAG for your first LLM feature, to structuring a go-to-market plan that actually converts, these posts cover the decisions founders face at every stage of building with AI.
Topics include prompt engineering workflows, healthcare AI compliance (HIPAA), AI agent architecture, startup growth playbooks, and conference recaps from events like HIMSS and Inbound. Whether you are a technical founder evaluating LLM providers or a non-technical CEO planning your first AI integration, you will find actionable frameworks and real numbers from real launches.
HIMSS 2026Healthcare AI
HIMSS 2026 Day 2: The Honest Truth About What's Really Happening
Agentic AI takeover, venue comparisons, honest crowd observations, founder conversations, and LinkedIn moments from the floor.
March 10, 202610 min read
HIMSS 2026Healthcare AI
HIMSS 2026 Day 1: Landed in Vegas and the Energy is Unreal
From DFW to Las Vegas. 25,000+ health leaders. 600+ sessions. Agentic AI everywhere. Here's everything that went down on Day 1.
March 9, 20268 min read
RAGFine-Tuning
Why RAG Beats Fine-Tuning for 95% of Enterprise AI Products
A practical decision framework for choosing between RAG and fine-tuning in enterprise AI. Covers data volatility, task specificity, and cost.
March 4, 20267 min read
Healthcare AILLM
The Practical Guide to LLM Implementation in Healthcare (HIPAA, RAG, and What Actually Works)
A field-tested guide to implementing large language models in healthcare. Covers HIPAA compliance, model selection, and RAG architecture.
March 2, 202612 min read
AIMVP
How to Build an AI MVP in 2 Weeks (Without a Technical Co-Founder)
A week-by-week playbook for non-technical founders to go from idea to working AI prototype. Covers LLM selection, no-code tools, and more.
February 10, 20266 min read
GTMAI Startups
Why Traditional SaaS GTM Fails for AI Startups (And What to Do Instead)
AI products break every assumption in the SaaS playbook. Learn why conventional GTM strategies backfire for AI-first startups and what works instead.
January 28, 20267 min read
Frequently Asked Questions
The blog covers artificial intelligence implementation, AI startup strategy, go-to-market planning for tech companies, prompt engineering, healthcare AI, and product development. Articles are written from first-hand experience building four AI startups and working as an AI architect, providing practical insights rather than theoretical overviews.
New articles are published regularly covering the latest developments in AI tools, startup strategy, and go-to-market tactics. Each article is written to provide lasting value with actionable frameworks and real-world examples from building AI products and helping founders scale.
Articles are written by Girish Kotte, an AI architect who has founded four AI startups in 16 months and serves as AI Advisor at Startups.com. The content draws from hands-on experience building products like LeoRix, PostWyse, Prompt Pro, and TradersHub Ninja, providing founder-tested insights rather than generic AI advice.
Yes, you can subscribe to the newsletter to receive updates when new articles are published. Subscribers also get early access to AI playbooks, prompt templates, and other resources shared exclusively through email before they appear on the website.
Yes, all blog articles are completely free to read with no paywall or registration required. The blog is designed to provide genuine value to founders, marketers, and technologists exploring AI adoption, and serves as a resource hub for the broader AI and startup community.