Expand README with full Grokbot operating system and Afterthedemo direction
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# Directory Engine
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# Directory Engine (Afterthedemo)
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**Leonard-powered niche directory business** (inspired by [Startup Ideas Podcast](https://x.com/startupideaspod/status/2091238981337858473)).
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**Leonard-powered niche directory** of real shipped AI products (inspired by [Startup Ideas Podcast](https://x.com/startupideaspod/status/2091238981337858473) + full Billy Howell episode).
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A directory is curated data: "here are the best X in this topic." Built for AI agents. Research agent produces high-quality Markdown pages daily; Leonard (engineer) publishes them. Later: affiliate collection + outbound deal agents. Newsletter on subdomain for sponsors.
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A directory is curated data: “here are the best / most real X in this topic.” Built for AI agents. Research agent produces high-quality Markdown pages; Leonard (engineer) publishes. Later: affiliate collection, outbound deals, niche newsletter on a subdomain.
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Target: $10K–$100K/month once traffic compounds. SEO shift favors curated sources for ChatGPT / Google AI Overviews.
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Target: $10K–$100K/month once traffic compounds. SEO and AI-answer engines increasingly favor curated sources.
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## Core Playbook (for Leonard / Hermes)
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## Current Vertical: Afterthedemo
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Real products that people actually shipped using AI tools (especially Hermes-style agent stacks). Only past-demo work with public, verifiable artifacts. No pure tool lists, no tutorial-first content, no client-service work.
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1. **Pick the niche** — something with taste (e.g. local AI tools & LLM stacks, El Dorado County verified service providers, party board games, pickleball gear). Record decision in `decisions.md`.
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2. **Site foundation** — Astro (excellent for static directories). Structure under `src/content/` or `pages/` as Markdown collections.
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3. **Research agent** — Daily: pick next brand/item → investigate (web, X, reviews, pricing, differentiators) → write polished Markdown page with frontmatter (title, slug, tags, affiliate-ready fields, evidence).
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4. **Engineer (Leonard)** — Receives Markdown → validates → commits to this repo (or site repo) → triggers build/deploy if configured.
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5. **Rinse & repeat** until thousands of monthly visits.
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6. **Only after traffic**: agent that harvests referral/affiliate links + does outbound for deals. Warm traffic → newsletter sponsors.
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See `decisions.md` and `status.md` for the locked filters and staged content pillars.
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**Rule**: Never solicit deals before traffic exists.
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## Core Playbook
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1. Pick / lock the niche (taste + evidence bar).
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2. Site foundation on **Astro** (Cloudflare + Porkbun + GitHub stack).
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3. Research agent investigates one brand/product per cycle → polished Markdown page.
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4. Engineer (Leonard) validates and commits.
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5. Rinse until thousands of monthly visits.
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6. **Only after traffic**: referral/outbound agent + newsletter cross-sell.
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**Rule:** Never solicit deals before traffic exists.
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## Operating System (from full episode)
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See **`best-practices.md`** for the complete system:
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- 4-week cadence: Build team → Execute (no tinkering) → Hire/fire → Automate
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- Chief of Staff pattern (`agents/chief-of-staff-prompt.md`)
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- 5-line routines
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- Adversarial QA loops
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- Anti-patterns to kill
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- Three proven shapes: Newsletter, Shopify, Directory/Site-builder
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## Repo Layout
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```
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directory-engine/
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├── README.md # this file
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├── decisions.md # niche choice, rationale, dates
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├── status.md # current state, next actions for Leonard
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├── README.md
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├── best-practices.md # Full Grokbot operating system
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├── decisions.md
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├── status.md
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├── agents/
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│ ├── research-prompt.md # system prompt + workflow for research agent
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│ ├── engineer-prompt.md # Leonard publish checklist
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│ └── outbound-prompt.md # future: referral + deals (post-traffic)
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│ ├── chief-of-staff-prompt.md
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│ ├── research-prompt.md
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│ ├── engineer-prompt.md
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│ └── outbound-prompt.md # future
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├── templates/
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│ └── page.md # Markdown page template with frontmatter
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├── pages/ # generated / curated pages (or symlink to Astro content)
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│ └── _index.md
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├── src/ # (future) Astro site source
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└── scripts/ # optional helpers
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│ └── page.md
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├── pages/
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└── src/ # future Astro
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```
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## Leonard Operating Instructions
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- Read `status.md` and `decisions.md` first on every run.
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- Use research agent prompt to produce one new page per cycle.
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- Commit with clear message: `feat(page): add <slug> — <one-line summary>`.
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- After commit, update `status.md` with what was done and next candidate.
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- Prefer verified facts + sources. No hallucinated claims.
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- Keep pages useful for both humans and AI overviews (clear structure, lists, comparisons).
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## Next Actions (initial)
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1. Decide niche → write `decisions.md`.
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2. Flesh out `agents/research-prompt.md` and `templates/page.md`.
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3. Seed 3–5 initial pages manually or via first agent run.
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4. Stand up minimal Astro site (or pure Markdown + static generator) and point deploy.
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5. Wire daily cron / Hermes schedule for research → Leonard publish loop.
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## Leonard Rules
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- Read `status.md` + `decisions.md` + `best-practices.md` first.
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- Small team only. Mission-critical agents.
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- Human decides stack and hard calls.
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- Quality and evidence over volume.
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- Automate only after the process is proven.
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## Links
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- Source idea: https://x.com/startupideaspod/status/2091238981337858473
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- Gitea: https://gitea.vps1.afterthedemo.com/Tony_tech/directory-engine
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- Related: Tony_tech/veripath, Tony_tech/personal-agent-os, Tony_tech/agent-outputs
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