9 articles tagged
Gemini 3.5 Pro's 2M-token context reopened the long-context vs RAG debate. Here is the real cost math, the accuracy that breaks mid-window, and a decision framework for backend and ML engineers in 2026.
Grok 4.5, from the newly renamed SpaceXAI, is priced at $2/$6 per million tokens and pitched as Opus-class at lower cost. Here is where it fits for enterprise coding and agents, and where it does not, in 2026.
Most AI agent projects fail on value, security and cost, not on the model. Here are five engineering lessons CTOs learn the hard way in 2026, backed by Gartner, MIT and OWASP data, from scoping ROI to controlling token
Building production AI agents taught three lessons the hard way: reliability comes from architecture, the model layer is a commodity you will swap, and evaluation is most of the work. Apple's third-generation Foundation
Most AI agent projects die between pilot and production. Five engineering delivery lessons for teams shipping production AI in 2026: scope narrow, fix the data first, make evaluation the plan, keep the model swappable
Five engineering lessons from shipping AI delivery: treat the model as swappable, start with evals not vibes, budget tokens and latency, ground outputs with retrieval, and build security in from day one.
The launch of eCorpIT Insights: five engineering lessons from shipping AI delivery work, covering amplification, evals as infrastructure, human review, token economics, and delivery stability.
Fewer than 15% of AI agent pilots reach production scale, and aggregate success sits near 57%. Five engineering lessons on evals, context, reliability, governance and token cost for founders shipping agents in 2026.
From MIT's 95% pilot-failure finding to Gartner's agentic AI warnings, here are 7 AI delivery lessons for enterprise teams: scoping, grounding, evaluation, cost control, governance, and DPDP-ready privacy.
