Build an Artificial Intelligence agent workflow to create content faster

Christina Blake describes how she built six Artificial Intelligence agents using Claude and Zapier MCP to turn raw ideas into publication-ready posts while preserving her voice. She shares the agent roles, workflow steps and the practical setup that took her under an hour to build.

Christina Blake argues that most Artificial Intelligence blogs read poorly because they rely on generic output rather than the author´s unique insights. Bad Artificial Intelligence content is often regurgitation without original perspective, she says, while good content combines the author´s ideas with tools that handle research, structure and mechanics. Blake cites industry timing benchmarks in the post: 38% of marketers who do not use Artificial Intelligence for content creation report it takes 2 to 3 hours to write a long-form article and the average blog post takes 3 hours and 48 minutes to write. She frames the goal as reclaiming time for strategic thinking rather than replacing human judgment.

To achieve that, Blake built a modular system of six agents and orchestration files that act like a small team, not a single assistant. The agents she describes are idea → outline, researcher, devil´s advocate, seo, editor and a google doc agent to write formatted output to a template. Blake emphasizes specialization over generalization: each agent has one clear job and success criteria, and human checkpoints are required at multiple stages. She notes the system surfaced useful checks, such as the devil´s advocate flagging audience mismatches or overengineering concerns. Her researcher agent also located statistics, including the observation that 85% of marketers use Artificial Intelligence tools for content creation, and the workflow includes repeated human reviews before finalization.

Blake explains the practical setup: she built the system in under an hour by talking through her process with Claude and turning steps into markdown files that define each agent´s persona and instructions. She used Claude combined with Zapier MCP to automate keyword suggestions via DataForSEO and to create google doc templates, but stresses the approach works with other LLMs like chatgpt plus or similar. The recommended process is to map your current workflow, identify bottlenecks, define handoff points, create specialized roles and write a master instruction file that orchestrates the agents. The result, she says, is repeatable content creation that preserves voice while saving time—36% of marketers who use Artificial Intelligence report spending less than one hour writing a long-form post—and can be stood up with modest tooling and a few minutes of setup.

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AMD ROCm software for artificial intelligence

AMD’s open ROCm stack targets artificial intelligence workloads on AMD GPUs with upstream framework support, extensive libraries, and scale-out tooling. The page aggregates models, partner case studies, and developer resources including containers and cloud access.

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