fix: address review feedback on research aggregation example

- Fix handleProgress: use underscore event types (task_start/task_complete)
  and correct property names (event.task/event.agent) per OrchestratorEvent
- Remove Task[] annotation (Task requires id, status, createdAt, updatedAt)
- Rename 13-research-aggregation.ts to 14-research-aggregation.ts
- Remove shared memory key references from prompts (framework handles this)
- Add header note differentiating from example 07 (runTasks vs AgentPool)

examples/14-research-aggregation.ts

@@ -1,23 +1,27 @@
 /**
- * Example 13 — Multi-Source Research Aggregation
+ * Example 14 — Multi-Source Research Aggregation
  *
- * Demonstrates:
+ * Demonstrates runTasks() with explicit dependency chains:
  * - Parallel execution: three analyst agents research the same topic independently
- * - Dependency chain: synthesizer waits for all analysts to finish
- * - Shared memory: analysts write findings, synthesizer reads and cross-references
+ * - Dependency chain via dependsOn: synthesizer waits for all analysts to finish
+ * - Automatic shared memory: agent output flows to downstream agents via the framework
+ *
+ * Compare with example 07 (fan-out-aggregate) which uses AgentPool.runParallel()
+ * for the same 3-analysts + synthesizer pattern. This example shows the runTasks()
+ * API with explicit dependsOn declarations instead.
  *
  * Flow:
  *   [technical-analyst, market-analyst, community-analyst] (parallel) → synthesizer
  *
  * Run:
- *   npx tsx examples/13-research-aggregation.ts
+ *   npx tsx examples/14-research-aggregation.ts
  *
  * Prerequisites:
  *   ANTHROPIC_API_KEY env var must be set.
  */
 
 import { OpenMultiAgent } from '../src/index.js'
-import type { AgentConfig, OrchestratorEvent, Task } from '../src/types.js'
+import type { AgentConfig, OrchestratorEvent } from '../src/types.js'
 
 // ---------------------------------------------------------------------------
 // Topic
@@ -34,8 +38,7 @@ const technicalAnalyst: AgentConfig = {
   model: 'claude-sonnet-4-6',
   systemPrompt: `You are a technical analyst. Given a topic, research its technical
 capabilities, limitations, performance characteristics, and architectural patterns.
-Write your findings as structured markdown. Store your analysis in shared memory
-under the key "technical_findings". Keep it to 200-300 words.`,
+Write your findings as structured markdown. Keep it to 200-300 words.`,
   maxTurns: 2,
 }
 
@@ -44,8 +47,7 @@ const marketAnalyst: AgentConfig = {
   model: 'claude-sonnet-4-6',
   systemPrompt: `You are a market analyst. Given a topic, research industry adoption
 rates, key companies using the technology, market size estimates, and competitive
-landscape. Write your findings as structured markdown. Store your analysis in
-shared memory under the key "market_findings". Keep it to 200-300 words.`,
+landscape. Write your findings as structured markdown. Keep it to 200-300 words.`,
   maxTurns: 2,
 }
 
@@ -55,7 +57,6 @@ const communityAnalyst: AgentConfig = {
   systemPrompt: `You are a developer community analyst. Given a topic, research
 developer sentiment, ecosystem maturity, learning resources, community size,
 and conference/meetup activity. Write your findings as structured markdown.
-Store your analysis in shared memory under the key "community_findings".
 Keep it to 200-300 words.`,
   maxTurns: 2,
 }
@@ -64,9 +65,10 @@ const synthesizer: AgentConfig = {
   name: 'synthesizer',
   model: 'claude-sonnet-4-6',
   systemPrompt: `You are a research director who synthesizes multiple analyst reports
-into a single cohesive document. Read all findings from shared memory, then:
+into a single cohesive document. You will receive all prior analyst outputs
+automatically. Then:
 
-1. Cross-reference claims across reports — flag agreements and contradictions
+1. Cross-reference claims across reports - flag agreements and contradictions
 2. Identify the 3 most important insights
 3. Produce a structured report with: Executive Summary, Key Findings,
    Areas of Agreement, Open Questions, and Recommendation
@@ -80,11 +82,11 @@ Keep the final report to 300-400 words.`,
 // ---------------------------------------------------------------------------
 
 function handleProgress(event: OrchestratorEvent): void {
-  if (event.type === 'task:start') {
-    console.log(`  [START] ${event.taskTitle} → ${event.agentName}`)
+  if (event.type === 'task_start') {
+    console.log(`  [START] ${event.task ?? ''} → ${event.agent ?? ''}`)
   }
-  if (event.type === 'task:complete') {
-    console.log(`  [DONE]  ${event.taskTitle} (${event.success ? 'OK' : 'FAIL'})`)
+  if (event.type === 'task_complete') {
+    console.log(`  [DONE]  ${event.task ?? ''}`)
   }
 }
 
@@ -103,25 +105,25 @@ const team = orchestrator.createTeam('research-team', {
 // Tasks — three analysts run in parallel, synthesizer depends on all three
 // ---------------------------------------------------------------------------
 
-const tasks: Task[] = [
+const tasks = [
   {
     title: 'Technical analysis',
-    description: `Research the technical aspects of ${TOPIC}. Focus on capabilities, limitations, performance, and architecture. Store findings in shared memory as "technical_findings".`,
+    description: `Research the technical aspects of ${TOPIC}. Focus on capabilities, limitations, performance, and architecture.`,
     assignee: 'technical-analyst',
   },
   {
     title: 'Market analysis',
-    description: `Research the market landscape for ${TOPIC}. Focus on adoption rates, key players, market size, and competition. Store findings in shared memory as "market_findings".`,
+    description: `Research the market landscape for ${TOPIC}. Focus on adoption rates, key players, market size, and competition.`,
     assignee: 'market-analyst',
   },
   {
     title: 'Community analysis',
-    description: `Research the developer community around ${TOPIC}. Focus on sentiment, ecosystem maturity, learning resources, and community activity. Store findings in shared memory as "community_findings".`,
+    description: `Research the developer community around ${TOPIC}. Focus on sentiment, ecosystem maturity, learning resources, and community activity.`,
     assignee: 'community-analyst',
   },
   {
     title: 'Synthesize report',
-    description: `Read all analyst findings from shared memory (technical_findings, market_findings, community_findings). Cross-reference claims, identify key insights, flag contradictions, and produce a unified research report.`,
+    description: `Cross-reference all analyst findings, identify key insights, flag contradictions, and produce a unified research report.`,
     assignee: 'synthesizer',
     dependsOn: ['Technical analysis', 'Market analysis', 'Community analysis'],
   },