Blog ideas: add filesystem analysis research to idea #001
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# 001 — Why backing up an agent is so hard
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**Status:** Research in progress
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**Tags:** Technical, Backups, DevOps
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## Research notes
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### Real filesystem changes after one week of work on a Linux agent
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```
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504.6M ./usr
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43.3M ./var
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448.9M ./root
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54.0K ./etc
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996.8M .
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```
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Most users only back up the home directory (`/root` = 448.9M). But over half the changes live outside it — `/usr` (504.6M) and `/var` (43.3M) contain installed packages, pip/npm global installs, database files, logs, and system configs. A naive home-dir-only backup misses 55% of what changed.
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At restore time, you get your config back but the agent won't run — missing dependencies, missing system packages, missing database files.
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### What this means for the post
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- Agent environments are not just config files — they're full Linux systems with packages, services, and state scattered everywhere
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- "Backup your home directory" is dangerously incomplete advice for AI agents
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- Derez.ai's full-disk snapshot approach is the right solution
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- This is a strong selling point: the agent works after restore, not just the config
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### Next data points
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Oliver will do two more memory analysis snapshots after running the speed-run setups (Odoo + Cold Email). Those will show how much additional state those integrations add.
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### Outline
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1. The sprawl problem — why agents are harder to back up than a standard server
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*Include the filesystem analysis table*
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2. What a real agent backup needs to capture
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3. How Borg/deduplicated snapshots solve it
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4. How Derez.ai does it automatically (one-click restore)
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5. Best practices for users
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6. Better save than sorry — the selling point
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### References
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- Borg backup docs
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- Hermes Agent directory structure (~/.hermes/)
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- Filesystem analysis: `du -sch /usr /var /root /etc` after one week
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# 002 — Cold email at scale: from one-off to campaign
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**Status:** Idea
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**Tags:** Marketing, Cold Email, Automation
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## Research notes
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- We already have a cold email speed-run post — this would be the "next level"
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- Moving from single emails to sequenced campaigns
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- Follow-ups, A/B testing, reply detection
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- CRM integration for tracking
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## Outline
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1. Why one-off cold emails leave money on the table
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2. Building a sequence: intro → follow-up 1 → follow-up 2 → breakup
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3. Using Hermes Agent tools for reply detection and routing
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4. Measuring open rates, reply rates, conversion
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5. Tying into a CRM (Odoo?) for pipeline tracking
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## References
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- Existing cold email speed-run post
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- Alex Hormozi / Cold email playbooks
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# 003 — Odoo + AI agent: beyond the speed run
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**Status:** Idea
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**Tags:** Odoo, Integration, CRM
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## Research notes
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- The speed-run post shows a basic Odoo connection
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- This post goes deeper: actual workflows that save time
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- Inventory alerts, automated invoice follow-ups, lead scoring
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## Outline
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1. Recap: what the speed run covered
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2. Real use cases:
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- auto-follow-up on stale leads
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- inventory low-stock alerts via email/Slack
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- monthly sales report generated and emailed
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3. Combining Odoo tools with Hermes Agent skills
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4. Security: creating a restricted Odoo user for the agent
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5. Next steps for readers
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## References
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- Existing Odoo speed-run post
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- Odoo External API docs
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- Odoo4projects.com free trial
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<input type="checkbox" disabled checked />
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</div>
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</div>
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<div class="blog-idea-body">
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<div class="blog-idea-body">
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<div class="blog-idea-title">Why backing up an agent is so hard</div>
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<div class="blog-idea-title">#001 — Why backing up an agent is so hard</div>
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<div class="blog-idea-desc">Modern AI agents install packages everywhere — pip in venvs, npm globally, configs scattered across /etc, ~/.config, /opt, custom paths. A naive filesystem backup misses half the environment.</div>
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<div class="blog-idea-desc">Modern AI agents install packages everywhere — pip in venvs, npm globally, configs scattered across /etc, ~/.config, /opt, custom paths. A naive filesystem backup misses half the environment.</div>
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<div class="blog-idea-meta">
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<div class="blog-idea-meta">
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<span class="blog-idea-tag">Technical</span>
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<span class="blog-idea-tag">Technical</span>
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</div>
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</div>
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</div>
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</div>
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</div>
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</div>
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<div class="blog-idea-item" style="margin-top:12px">
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<div class="blog-idea-checkbox">
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<input type="checkbox" />
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</div>
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<div class="blog-idea-body">
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<div class="blog-idea-title">#002 — Cold email at scale: from one-off to campaign</div>
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<div class="blog-idea-desc">Moving from single cold emails to sequenced campaigns with follow-ups, A/B testing, reply detection, and CRM integration.</div>
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<div class="blog-idea-meta">
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<span class="blog-idea-tag">Marketing</span>
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<span class="blog-idea-tag">Cold Email</span>
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<span class="blog-idea-tag">Automation</span>
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</div>
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</div>
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</div>
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<div class="blog-idea-item" style="margin-top:12px">
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<div class="blog-idea-checkbox">
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<input type="checkbox" />
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</div>
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<div class="blog-idea-body">
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<div class="blog-idea-title">#003 — Odoo + AI agent: beyond the speed run</div>
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<div class="blog-idea-desc">Deeper Odoo workflows: auto-follow-up on stale leads, low-stock alerts, monthly sales reports — all via the agent.</div>
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<div class="blog-idea-meta">
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<span class="blog-idea-tag">Odoo</span>
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<span class="blog-idea-tag">Integration</span>
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<span class="blog-idea-tag">CRM</span>
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</div>
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</div>
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</div>
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<p style="margin-top:16px;font-size:0.8rem;color:#666">
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Research notes at <code style="font-size:0.8rem">blog/ideas/###-topic.md</code>
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</p>
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</div>
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</div>
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</div>
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</div>
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