Ideas for better engineering outcomes.

RAG Architecture for B2B SaaS That Actually Survives Production

Learn how to build RAG architecture design that stays reliable in production for B2B SaaS, covering scaling, security, monitoring, and cost control

By Horia Oltean, Co-Founder Primehire

How to Select a Production AI Engineering Partner: RFPs, Pilots, SLAs

Learn how to vet a specialized engineering partner using RFP scorecards, reference checks, pilot projects, and clear SLAs to reduce risk and deliver results.

By George Cretu, Co-Founder PrimeHire

Consulting Pod for Production AI Operations and Control

See why Series B to D B2B SaaS leaders need a cross-functional consulting pod to establish production AI ownership, controls, reliability, and run standards.

By Co-Founder, PrimeHire

When Staff Augmentation Fits AI Initiatives: Scope, Risk, and Governance

Determine whether AI work needs bounded external execution or an accountable engineering partner, based on decision scope, risk, and governance.

What CTOs Miss When Evaluating Independent Technical Consultants

Learn which signals CTOs miss when choosing an independent technical consultant and how to assess expertise, fit, and delivery for SaaS teams

By George Cretu, Co-Founder PrimeHire

Why Your B2B SaaS Needs a Specialized Engineering Partner, Not Staff

Learn why B2B SaaS teams at Series B to D stop buying seats and retain continuous technical capacity through a specialized engineering partner.

MLOps Consulting for SaaS That Reduces Product Risk

MLOps consulting for SaaS helps CTOs reduce release risk, strengthen model reliability, and build operational capacity needed to ship AI features with control.