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Agent Cost Optimisation: Measure Spend per Accepted Task
Track every attempt and compare cost per accepted task using a runnable Python accounting example.
Power Grid Agents Need Constraint Tests, Not Chat Scores
A June 2026 power-systems benchmark argues that language-model agents can solve grid-engineering tasks, but the useful signal is narrower: the agent must...
Healthcare AI Agents Move Beyond Drug Discovery
Healthcare AI agents are moving into admin, triage and prior-authorisation workflows. The real gate is safety, evidence and accountable handoff.
Multilingual Agents Need Workflow Tests, Not Translation Scores
PolyWorkBench landed on arXiv on 7 July 2026 with a useful correction to enterprise-agent hype: a global workflow is not a translated English task...
Where Agent Adoption Fails: The Function-by-Function Pattern
Function-by-function adoption fails when agents miss workflow ownership, evaluation, integration, or trust boundaries.
Data Agents Need Exploration Budgets, Not SQL Magic
Data Agent Benchmark landed on arXiv on 21 March 2026 with a result that should make enterprise analytics teams pause: the best tested frontier model...
AI Coding ROI Needs Time Studies, Not Seat Counts
By the 2025 developer-survey cycle, AI coding tools had moved from novelty to routine use, which makes adoption a weak success metric [Stack...
Agent Browsers Need Traffic Policy, Not Bot Blocks
Agentic browser traffic is no longer a rounding error in website operations. HUMAN Security's 2026 benchmark report says traffic from AI agents and...
Test-Time Compute: Methods, Costs and Evaluation
Compare sampling, revision and verifier-guided search. Use a runnable selection example and a workload test plan to decide where extra inference earns its cost.
Enterprise AI Pilots Have a 70% Failure Rate
S&P Global found 42% of companies abandoned most AI initiatives. MIT reports 95% of GenAI pilots deliver no measurable return. The technology works. The organizational machinery that carries pilots to production doesn't.