Lava vs Viktor: Connectors vs Interface Control
Viktor has 3,200+ prebuilt connectors. Lava operates the interface directly. An honest comparison of where each approach wins, including what interface control costs you.
Why Everyone Who Is Serious About AI Is Working In a Terminal
The most capable AI for real work lives in a terminal built for engineers. Why Claude Code took over, why that is a failure mode, and how Lava closes the gap.
Forward Deployed Engineers Are a Symptom, Not a Solution
Needing a forward deployed engineer to make AI work is not a feature. It is an admission the product was built for a demo, not for real work.
3 Bets Every AI Startup Is Getting Wrong in 2026
Most AI startups are making three identical mistakes: SaaS-era pricing, model-plus-software lock-in, and betting on model permanence. Here is the fix.
What Happens to Your Team When Claude Goes Down
When Claude goes down, single-model teams stop. Why multi-model routing is about continuity first, cost second, and why the numbers make it obvious.
MCP Server vs. Full Workspace: The Real Difference
An MCP server gives your AI model access to a tool. A workspace is where the work actually happens. Here is the real difference and why it matters for teams.
How to Bill Your Users for AI: A Guide for Platform Builders
You pay per-token to AI providers and need to pass those costs to your users. Here is what it takes to build platform billing for AI.
Outcome-Based Pricing for AI: When It Works and When It Doesn't
Outcome-based pricing sounds perfect in theory. Here is an honest look at when it works, when it falls apart, and what to do instead.
The Startup Founder's Guide to Smarter Pricing
Practical pricing principles for AI and SaaS founders, from value-based pricing to tier design and iterative experimentation.