feat: add AI For Dummies presentation
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# AI For Dummies — reference bundle
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Research captured 2026-09-02. Official documentation is primary; practitioner
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articles are context, not authority.
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## Primary documentation
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- Anthropic — custom subagents: https://code.claude.com/docs/en/sub-agents
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Separate context, tools, permissions, model selection, and worktree isolation.
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- Anthropic — skills: https://code.claude.com/docs/en/skills
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Reusable instruction packages and skill discovery.
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- Anthropic — worktrees: https://code.claude.com/docs/en/worktrees
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Isolated sessions, branches, cleanup, and ignored files.
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- OpenAI — build skills: https://developers.openai.com/codex/skills
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Packaged instructions and resources for Codex workflows.
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- OpenAI API — skills reference: https://developers.openai.com/api/reference/go/resources/skills
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Creating, versioning, listing, and downloading skill bundles.
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- Git — worktree: https://git-scm.com/docs/git-worktree.html
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Linked working trees, branches, shared history, add/list/remove/prune.
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## Research and articles
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- Infobip Research — phased coding-agent workflow: https://arxiv.org/abs/2608.30701
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- Effective asynchronous software engineering agents: https://arxiv.org/abs/2603.21489
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- Launch Receipts — AI coding workflow without losing control: https://launchreceipts.com/articles/ai-coding-agent-workflow
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- GitWorktree.org — three agents, three worktrees case study: https://www.gitworktree.org/cases/parallel-ai-agents
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## Teaching claims
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- Use a stronger model where ambiguity, architecture, decomposition, and review dominate.
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- Use faster models for bounded implementation with explicit context and checks.
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- Give every editing worker an isolated branch/worktree; merge only reviewed diffs.
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- A skill is a reusable procedure plus optional references/scripts/assets, not magical memory.
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- Delegation does not remove human responsibility for intent, boundaries, or evidence.
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