This week
Suggest a nameObligation Marketing for AI Builders
The 7-Rung LadderThe 8-Type TaxonomyWrapper or WinnerThe Sample ColumnThe Signal
Updated through the day. Every headline links straight to the source. The two lines underneath are ours.
Enterprise AI adoption stalls when companies treat agents as features, not as first-class developers. Tenex's outcome-based pricing is the carrot, but the real insight is that building with agents requires rethinking the entire SDLC from requirements to testing. This is valuable for enterprises, but most of Latent Space's audience isn't selling to the Fortune 2000. Watch it if you are.
The real angle here is how you price agentic systems to enterprise buyers. Tenex's bet is that outcomes-based pricing (pay for commits shipped, not for tokens burned) changes everything about how you build agents. If that model sticks, it means your agent needs to be reliable enough to ship production code, which is much harder than chat interfaces. Worth listening to if you're building agent infrastructure or selling to Fortune 500 engineering teams.