Marketing Against The Grain Perplexity Computer: The Super Agent Playbook (5 Real Workflows)
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Mar 5, 2026 They explore super agents like Perplexity Computer and how connector-driven skills are reshaping workflows. They demo building a book-cover design skill and other real-world task automations. They discuss agentic teams, model choice, and practical ways to integrate AI with internal data. They stress iterating on skills, recording work to create reliable automations, and avoiding AI clutter.
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Super Agents Are Becoming The Primary Interface
- Super agents converge on the same core use case: connect to your tools, expose skills, and act autonomously across workflows.
- Kieran describes agents as tool + connectors + skills and argues differentiation will be in execution and integrations.
Book Cover Skill Built End to End In Perplexity
- Kipp had Perplexity Computer scrape the top 100 business book covers, analyze images, and produce a Skill MD to generate five cover concepts.
- It spawned four parallel sub-agents, batched 25 covers each, and returned mocks plus a skill file and rationale website.
Agentic Tool Choice Beats Single-Model Approaches
- Perplexity Computer is model-agnostic and selects best-in-class tools per task, which raises output quality.
- Kieran highlights it used external image models and Claude Sonnet 4.6 for text analysis, improving results across steps.