AKEL Pipeline Flow
Last modified by Robert Schaub on 2026/02/08 21:46
AKEL Pipeline Flow
High-Level Flow
flowchart TB
subgraph Input["📥 Input Layer"]
URL[URL Input]
TEXT[Text Input]
end
subgraph Retrieval["🔍 Content Retrieval"]
FETCH[extractTextFromUrl]
PDF[PDF Parser
pdf2json]
HTML[HTML Parser
cheerio]
end
subgraph AKEL["🧠 AKEL Pipeline"]
direction TB
subgraph Step1["Step 1: Understand"]
UNDERSTAND[understandClaim
━━━━━━━━━━━━━
• Detect input type
• Extract claims
• Identify dependencies
• Assign risk tiers]
LLM1[("🤖 LLM Call #1
Claude/GPT/Gemini")]
end
subgraph Step2["Step 2: Research (Iterative)"]
DECIDE[decideNextResearch
━━━━━━━━━━━━━
• Generate queries
• Focus areas]
SEARCH[("🌐 Web Search
Google CSE / SerpAPI")]
FETCHSRC[fetchSourceContent
━━━━━━━━━━━━━
• Parallel fetching
• Timeout handling]
EXTRACT[extractEvidence
━━━━━━━━━━━━━
• Parse sources
• Extract evidence]
LLM2[("🤖 LLM Call #2-N
Per source")]
end
subgraph Step3["Step 3: Verdict Generation"]
VERDICT[generateVerdicts
━━━━━━━━━━━━━
• Claim verdicts
• Article verdict
• Dependency propagation]
LLM3[("🤖 LLM Call #N+1
Final synthesis")]
end
subgraph Step4["Step 4: Summary"]
SUMMARY[generateTwoPanelSummary
━━━━━━━━━━━━━
• Format results
• Build two-panel summary]
end
subgraph Step5["Step 5: Report"]
REPORT[generateReport
━━━━━━━━━━━━━
• Generate markdown]
end
end
subgraph Output["📤 Output"]
RESULT[AnalysisResult JSON]
MARKDOWN[Report Markdown]
end
%% Flow connections
URL --> FETCH
TEXT --> UNDERSTAND
FETCH --> PDF
FETCH --> HTML
PDF --> UNDERSTAND
HTML --> UNDERSTAND
UNDERSTAND --> LLM1
LLM1 --> DECIDE
DECIDE --> SEARCH
SEARCH --> FETCHSRC
FETCHSRC --> EXTRACT
EXTRACT --> LLM2
LLM2 --> DECIDE
DECIDE -->|"Research Complete"| VERDICT
VERDICT --> LLM3
LLM3 --> SUMMARY
SUMMARY --> REPORT
REPORT --> RESULT
REPORT --> MARKDOWN
Pipeline Steps Detail
Step 1: Understand (understandClaim)
- Detects input type: question | statement | article
- Extracts claims with dependencies
- Assigns risk tiers (A/B/C)
- Detects context(s) and temporal boundaries
- Discovers KeyFactors (optional decomposition questions)
- Applies Gate 1: Claim Validation
Step 2: Research (decideNextResearch + extractEvidence)
- Iterative research cycle (typically 2-3 rounds)
- Generates search queries targeting gaps
- Fetches and parses sources (HTML, PDF)
- Extracts evidence from each source
- Continues until research is complete or max rounds reached
Step 3: Verdict Generation (generateVerdicts)
- Generates verdicts for each claim
- Aggregates claim verdicts into KeyFactor verdicts
- Aggregates KeyFactor verdicts into context answers
- Generates overall article verdict
- Applies Gate 4: Verdict Confidence Assessment
Step 4: Summary (generateTwoPanelSummary)
- Builds two-panel summary (Overview + Key Findings)
- Formats verdict data for display
Step 5: Report (generateReport)
- Generates markdown report
- Includes all sections: Summary, Claims, Sources, Verdict
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