Preservation and sustenance — maintaining working state under perturbation, memory anchoring, consistency enforcement, and protective stabilization. Maps Vishnu's sustaining presence to AI reasoning: holding what works steady, anchoring verified knowledge against drift, and ensuring continuity through change. Use when a working approach is at risk from scope creep, when context drift threatens verified knowledge, after shiva-bhaga dissolution to protect what survived, when a long session risks losing earlier decisions through context compression, or before making changes to a currently functioning system.
Preserve and sustain what is working — anchoring verified knowledge, maintaining consistency under perturbation, and protecting functional patterns from unnecessary change.
shiva-bhaga dissolution — what survives needs active protection during reconstructionReadBefore protecting anything, identify what is currently functional and verified.
Preservation Inventory:
+---------------------+---------------------------+------------------------+
| Category | Verification Method | Anchoring Action |
+---------------------+---------------------------+------------------------+
| Verified Facts | Confirmed via tool use | Record source and |
| | (file reads, test runs, | timestamp; do not |
| | API responses) | re-derive |
+---------------------+---------------------------+------------------------+
| Working Code | Tests pass, behavior | Do not refactor unless |
| | confirmed, user approved | explicitly requested |
+---------------------+---------------------------+------------------------+
| User Requirements | Explicitly stated by | Quote directly; do not |
| | the user in this session | paraphrase or infer |
+---------------------+---------------------------+------------------------+
| Agreed Decisions | Decisions made and | Reference the decision |
| | confirmed during this | point; do not revisit |
| | session | without new evidence |
+---------------------+---------------------------+------------------------+
| Environmental State | File paths, configs, | Verify before assuming |
| | tool availability | unchanged |
+---------------------+---------------------------+------------------------+
shiva-bhaga)Expected: A concrete inventory of verified, working elements with their evidence base.
On failure: If the inventory is sparse — little is verified — that itself is valuable information. Run heal to re-ground before attempting to preserve unverified assumptions.
Name the forces threatening the stable state.
For each source, assess: is this a real threat or an anticipated one?
Expected: Named perturbation sources with assessed severity (active threat vs. anticipated risk).
On failure: If no perturbation sources are apparent, preservation may not be needed — consider whether brahma-bhaga (creation) or continued execution is more appropriate.
Apply specific techniques to protect what works from identified threats.
Expected: Each identified threat has a specific anchoring response. The stable state is explicitly protected.
On failure: If anchoring feels excessive — protecting everything equally — prioritize. What is the one thing that must not change? Protect that first.
Preservation is not passive — it requires ongoing attention during subsequent work.
Expected: The working state survives the current task intact. Changes were made only where needed and did not disrupt functioning components.
On failure: If a preserved item was inadvertently changed, assess the damage immediately. If the change broke something, revert. If the change was neutral, update the inventory. Do not leave the inventory stale.
shiva-bhaga — destruction precedes preservation; what survives dissolution is what Vishnu sustainsbrahma-bhaga — creation builds on the preserved foundation; new patterns emerge from stable groundheal — subsystem assessment reveals what is genuinely functional vs. superficially stableobserve — sustained neutral observation detects drift before it threatens stabilityawareness — situational awareness (Cooper color codes) maps directly to perturbation detection