Interactive Demo vs Custom POC for Presales

Interactive demos explain your standard product. Custom POCs validate prospect-specific workflows. A practical framework for knowing when to use each in presales.

AI Code Security Review Needs Threat Models

AI can find security bugs at scale, but B2B SaaS teams still need readable trust boundaries, scoped tools, and human-owned release gates before generated code reaches users.

Namanyay Goel

AI Latency UX Needs Product Feedback

AI features can answer correctly and still feel broken. Product teams need progress feedback, fast paths, and scoped workflows before AI waits become user trust problems.

Namanyay Goel

AI Prompt Injection Needs Source Review

AI prompt injection risk changes when generated documents become new sources. Product teams need source review, narrow context, and approval trails before AI writes into trusted workflows.

Namanyay Goel

Specialist AI Models Need Workflow Logs

Specialist AI models don't start with training — they start with workflow logs. Capture examples, corrections, and approvals to build models that beat frontier on your task.

Namanyay Goel

AI Proof Automation Needs Product Boundaries

AI proof automation can make generated software safer, but SaaS teams still need API scopes, review states, and product runtime controls around AI-built apps.

Namanyay Goel

Context Engineering for AI App Builders

Context engineering for AI app builders isn't about longer prompts — it's about defining product boundaries, API access, permissions, and review states.

Namanyay Goel

AI Coding Benchmarks Need Product Readiness

Model scores help teams choose a coding model, but SaaS leaders need separate checks for permissions, API use, writes, cost, and customer-safe sharing.

Namanyay Goel

Frontend Secret Leaks in Generated Apps

AI-generated apps increase the number of frontends your team ships. Treat every generated page as an untrusted client — no secrets in browser code.

Namanyay Goel