--- title: "Green Scores, Red Systems" newsletter: "MLOps Community" date: 2026-04-23 source: https://aaif.live/newsletters/mlopscommunity/2026-04-23-green-scores-red-systems --- # Green Scores, Red Systems *MLOps Community — Agentic AI Foundation, 2026-04-23* Project Glasswing - cracked [https://techcrunch.com/2026/04/21/unauthorized-group-has-gained-access-to-anthropics-exclusive-cyber-tool-mythos-report-claims/]. ## You Can't Deploy a Score Accuracy is a comfort metric, not a product metric. What do you optimize for: Accuracy or Outcomes [ACCURACY](https://gatewaze.mlops.community/offer/surveys/?sid=yesno&question=Accuracy+is+a+comfort+metric%2C+not+a+product+metric.What+do+you+optimize+for%3A+Accuracy+or+Outcomes&y=ACCURACY&n=OUTCOMES&oneclick=true&accept=true) [OUTCOMES](https://gatewaze.mlops.community/offer/surveys/?sid=yesno&question=Accuracy+is+a+comfort+metric%2C+not+a+product+metric.What+do+you+optimize+for%3A+Accuracy+or+Outcomes&y=ACCURACY&n=OUTCOMES&oneclick=true&accept=true) ## A Model Interface Knowing what’s going out matters more than getting it out. ## OpenXData is back on April 29 A free virtual day on open data infrastructure, 30+ talks and workshops across two tracks covering: * open table formats * columnar storage in the AI era * query engine performance * ultra-low latency feature serving Speakers from Datadog, Cloudera, LanceDB, Booking.com [http://Booking.com], IBM, Anthropic, and more. All hosted by MLOps Community founder Demetrios Brinkmann - so alongside the talks expect impromptu musical interludes, shenanigans, and a live giveaway for people joining on the day. April 29, 9am-3pm PT. Free to register [Free to register](https://www.openxdata.ai/) [https://www.openxdata.ai/](https://www.openxdata.ai/) ## Curated finds to help you stay ahead ## It's 2026, and We're Still Talking Evals Bad evals do not just miss bugs - they teach you to trust the wrong thing. This discussion argues that agent evaluation starts before launch, shifts once real users arrive, and never settles into a fixed checklist. The hard part is not scoring outputs, but defining what “good” means for your product, spotting failure modes that matter, and feeding that back into iteration without drowning in noise. * Pre-launch evals should model realistic user personas and scenarios, not just tidy prompts the team invented. * In production, the useful signals are often specific failure patterns, regressions, and drop-off behavior, not a single headline accuracy number. * Off-the-shelf tooling helps with traces and dashboards, but mature teams still need custom evaluators tied to their own business goals and user behavior. The result is a more reliable agent because you are measuring the failures that matter instead of chasing numbers that look clean. [https://podcasts.apple.com/gb/podcast/its-2026-and-were-still-talking-evals/id1505372978?i=1000762921485](https://podcasts.apple.com/gb/podcast/its-2026-and-were-still-talking-evals/id1505372978?i=1000762921485) [https://home.mlops.community/home/videos/its-2026-and-were-still-talking-evals](https://home.mlops.community/home/videos/its-2026-and-were-still-talking-evals) [https://open.spotify.com/episode/0Dr0Y6zxsKsENWNMnX9SBS?si=bMnu1JGfRp6NgVUSNS6O3A](https://open.spotify.com/episode/0Dr0Y6zxsKsENWNMnX9SBS?si=bMnu1JGfRp6NgVUSNS6O3A) ## The 5xP Framework: Steering AI Coding Agents from Chaos to Success Letting a coding agent loose without clear context is how simple tasks turn into expensive messes. This piece argues that the real bottleneck in AI-assisted development is not code generation, but giving the model a compact, durable map of the project so it stops guessing about goals, tools, and workflow. * The proposed 5xP framework splits context into product, platform, process, profile, and project principles. * A short root AGENTS.md points to focused markdown files, so the agent loads only the context it needs. * The main claim is practical rather than theoretical: concise, editable project context beats verbose scaffolding and repeated prompt micromanagement. The value is not in fancy prompting but in giving the agent enough structure to stay useful as the project gets more real. [Read the blog](https://home.mlops.community/home/blogs/the-5xp-framework-steering-ai-coding-agents-from-chaos-to-success) ## IN PERSON EVENTS * Boston [https://luma.com/19c49kvs] - April 27 * San Francisco [https://luma.com/kejjqoj0] - May 6 * Amsterdam [https://luma.com/l8tnzkqx] - May 7 * New York [https://luma.com/h8muplvs] - May 11 * Paris [https://luma.com/a2swgs9x] - May 14 * San Francisco [https://luma.com/p8d635rz] - May 15 * London [https://luma.com/9k4ohvyj] - May 28 * Barcelona [https://luma.com/qxgxj3bt] - June 3 * Austin [https://luma.com/k1ds9ks0] - June 17 ## VIRTUAL EVENTS Coding Agents Lunch and Learn [https://home.mlops.community/home/events/coding-agents-lunch-and-learn-show-and-tell-community-builds-ideas-and-experiments-jax0j6o2cy?agenda_day=69e639e0e18b09e8bc3000e5&agenda_track=69e639e1e18b09e8bc3000fd&agenda_stage=69e639e0e18b09e8bc3000eb&agenda_filter_view=stage&agenda_view=list] - April 24 ## Thanks For Flagging [https://forms.gle/8EDvXGizxyFVKfwy8](https://forms.gle/8EDvXGizxyFVKfwy8) --- Source: https://aaif.live/newsletters/mlopscommunity/2026-04-23-green-scores-red-systems