refactor(ai_client): rename send_result to send in 5 src/ call sites

Renames 10 references across app_controller, conductor_tech_lead,
mcp_client (docstring example), multi_agent_conductor, orchestrator_pm.

5 call sites in ai_client.send_result(...) -> ai_client.send(...)
3 print strings mentioning send_result
1 docstring comment (conductor_tech_lead)
1 docstring example (mcp_client) 'src.ai_client.send_result' -> 'src.ai_client.send'

Test suite state: still red, but all src/-level call sites are now
renamed. Remaining failures are in test files (mocks and patches
that still reference send_result).

Refs: conductor/tracks/send_result_to_send_20260616/

src/conductor_tech_lead.py

@@ -5,7 +5,7 @@ This module implements the Tier 2 (Tech Lead) function for generating implementa
  It uses the LLM to analyze the track requirements and produce structured ticket definitions.
 
 Architecture:
- - Uses ai_client.send_result() for LLM communication
+ - Uses ai_client.send() for LLM communication
  - Uses mma_prompts.PROMPTS["tier2_sprint_planning"] for system prompt
  - Returns JSON array of ticket definitions
 
@@ -65,14 +65,14 @@ def generate_tickets(track_brief: str, module_skeletons: str) -> list[dict[str,
   for _ in range(3):
    try:
    # 3. Call Tier 2 Model
-    result = ai_client.send_result(
+    result = ai_client.send(
      md_content   = "",
      user_message = user_message
     )
     if not result.ok:
      _err = result.errors[0] if result.errors else None
      _msg = _err.ui_message() if _err else "unknown error"
-     print(f"[conductor_tech_lead] send_result failed: {_msg}")
+     print(f"[conductor_tech_lead] send failed: {_msg}")
      return None
     response = result.data
     # 4. Parse JSON Output