feat: add mem9 integration documentation, enhance AI-to-AI prompting guidelines, and create daily logs for May 1 and May 7

agent-memory/workflows/ai-to-ai-prompting.md

@@ -1,7 +1,7 @@
 ---
 type: agent-workflow
 status: active
-updated: 2026-04-17
+updated: 2026-05-06
 tags:
   - process
   - ai-prompting
@@ -58,6 +58,9 @@ Use this structure by default:
 - Include "Do not assume REST is active by default" for REST migration tasks.
 - Include "Separate external issue from regression" for AO/Discourse issues.
 - Include "Validate against Fid4/consumer path when needed" for XFlow integration tasks.
+- For VS Code multi-root Copilot workflows, preserve repo-provided customizations such as `.github/prompts`, `.github/instructions`, `.github/agents`, `.github/skills`, and `AGENTS.md`. Shared `fidelity-ai-copilot` customizations should supplement these repo files, while repo-specific instructions should be treated as the practical authority when they conflict.
+- For Fidelity Jira/Confluence access from GitHub Copilot CLI or VS Code, do not assume the approved access method. First have the target AI read the current Fidelity-provided human instructions from Confluence or local exported docs, then configure the smallest matching workflow. If those instructions require terminal `curl` with environment variables such as `COPILOT_JIRA_URL` and `COPILOT_JIRA_TOKEN`, enforce that path; otherwise follow the documented Fidelity-approved method. Never print, persist, or hardcode tokens.
+- Treat `fidelity-ai-copilot` as a self-improving AI harness rather than a static prompt dump: the target AI should notice recurring useful workflows, newly discovered internal instructions, and tool changes, then propose small auditable updates to instructions, skills, prompts, agents, specs, or validation checklists. It should ask before making broad changes and keep product repos clean.
 
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