The shift from prompting to agentic workflows

2026-06-16 · Source: Visually AI by Heather Cooper · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation · Depth: Intermediate, medium

Summary

The AI creative landscape is rapidly transitioning from direct text prompting to sophisticated agentic workflows, where users describe desired outcomes and AI agents autonomously plan, select models, and assemble assets. Platforms like Runway Agent now enable multi-scene video generation from a single message, integrating tools such as Gen-4.5 and Aleph. Google's DeepMind introduced Gemini Omni on May 19 at I/O, aiming for comprehensive content creation, with Gemini Omni Flash already live in several Google products. MiniMax Hub offers a native desktop app for integrated image/video generation, scripting, and editing, featuring "Free Canvas" and "Workflow" views. Lovart, opened in April, routes requests across 20+ specialized image and video models, including Nano Banana Pro and Flux 2, and supports PDF ingest for brand guidelines. Additionally, Krea 2, launched May 12, is a new foundation image model emphasizing "no baked-in aesthetic" and introduces Moodboards for style and concept blending, achieving high style-fidelity benchmarks.

Key takeaway

For AI Product Managers evaluating new creative tools, the shift to agentic workflows significantly streamlines complex multi-model production. You should explore platforms like Runway Agent for integrated video creation or MiniMax Hub for desktop-based, multi-tasking creative agents. Consider Krea 2 for projects requiring precise style control via moodboards, as these tools reduce manual prompting and accelerate asset assembly, allowing your teams to focus on high-level creative direction.

Key insights

AI agents are automating complex creative tasks by interpreting high-level goals and orchestrating specialized models.

Principles

• Agentic systems select optimal models for specific sub-tasks.
• Reference inputs (e.g., moodboards) guide aesthetic and conceptual outcomes.
• Consistent character generation is achievable across diverse scenes.

Method

Users describe a desired creative outcome; an AI agent then plans the necessary steps, selects appropriate models, and assembles the final asset.

In practice

• Utilize moodboards to bias image generation for specific styles.
• Employ PDF ingest for automated brand guideline application.
• Define characters once for consistent visual identity in video.

Topics

• AI Agents
• Generative Video
• Generative Image
• Creative Workflows
• Runway ML
• Krea AI
• Multimodal AI

Best for: Computer Vision Engineer, Entrepreneur, Creative Technologist, AI Product Manager, Marketing Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Visually AI by Heather Cooper.