·5 min read
The AI Said It's Done. That's When the Work Starts.
AI has compressed the time from idea to working software. It hasn't eliminated the work required to make that software dependable.
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0:00 / 6:51
·9 min read
Differentiate at the Edge. Standardize the Core.
AI will make generic software abundant. The companies that win will not be the ones that generate the most code. They will be the ones that turn software abundance into controlled differentiation: dynamic product surfaces at the edge, connected to a durable production core.
Plamen Petrov
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0:00 / 13:45
·7 min read
AI Demos Are Easy. Don’t Give Every Builder the Keys to the Kingdom.
AI app builders are making software creation faster, but they can also fragment users, tenants, permissions, audit trails, usage events, storage rules, and billing logic. Companies should be able to use any AI builder while keeping one consistent backend control layer.
Plamen Petrov
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0:00 / 10:46
·6 min read
The App Factory Plane: Why Agent-Built Products Need a Production Substrate
AI can generate product logic quickly, but customer-ready products still need a reusable production layer for access, tenants, events, storage, audit trails, usage, billing foundations, and operational control.
Plamen Petrov
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0:00 / 7:48
·7 min read
Agents Don't Need More Autonomy. They Need a Blast Radius.
AI agents are becoming more capable, but production systems need more than autonomy. They need identity, tenant boundaries, permissions, event trails, approval gates, reversibility, and spend controls.
Plamen Petrov
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0:00 / 10:12
·7 min read
The MenuGen Problem: Why AI Agents Need Agent-Native Infrastructure
Karpathy's MenuGen story shows the gap between AI-generated app logic and production-ready software. ScaleMule is building the backend substrate agents need to ship real products without dashboard glue.
Plamen Petrov
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0:00 / 9:41