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ResearchPulse AI

Autonomous multi-source research agent for deep market & technical intelligence.

ResearchPulse AI is an autonomous agent architecture built to eliminate hours of manual search and note consolidation. Given a raw research query, it executes parallel search chains, scrapes unstructured web resources, performs hallucination cross-checks, and compiles a citation-backed markdown dossier.

StatusBuilding
Launch DateFeb 2026
Target PlatformsWeb, API, CLI
AI StackClaude 3.5 Sonnet

The Problem

Information Overload and Shallow Search Summaries

Standard LLM chats rely on stale training data or single-query search snippets, missing deep technical context and generating unverified claims.

  • Manual research across 20+ tabs takes hours of manual filtering, reading, and synthesizing.
  • Single-turn LLM search produces shallow summaries without deep structural comparative analysis.
  • Missing citation traceability makes verifying sources frustrating and error-prone.

The Solution

Self-Reflecting Agentic Research Loops

An iterative research graph that formulates sub-hypotheses, validates claims against primary sources, and self-corrects before generating deliverables.

  • Recursive query planner that breaks complex briefs into 8+ targeted sub-investigations.
  • Dual-agent cross-verification: Generator Agent and Critic Agent debate accuracy before consensus.
  • Automated citation indexing linking every single factual assertion back to an archived URL snapshot.
  • Structured export to Notion, Markdown, or PDF with executive TL;DRs and raw evidence tables.
Architecture & Process

Autonomous Research Pipeline

How ResearchPulse turns a single prompt into a 15-page verified intelligence report.

01

Brief Ingestion

User submits domain question, competitors, or technical challenge

02

Sub-Query Decomposition

Agent generates multi-vector search tree and execution matrix

03

Deep Scraping & Vectorize

Fetches whitepapers, GitHub repos, SEC filings, and tech blogs

04

Adversarial Fact Check

Critic agent audits claims for freshness and source authority

05

Executive Synthesis

Outputs structured report with interactive source references

Key Capabilities

Engineered Features

Multi-Vector Web Synthesis

Search Engine

Searches 30+ sources in parallel, reranking excerpts with Cohere for highest relevance density.

Adversarial Fact Verifier

Integrity

Autonomous Critic agent tests numbers and quotes against primary source DOM nodes.

Automated Market Competitor Grids

Business

Extracts pricing models, feature matrices, and user sentiment into comparative tables.

Continuous Monitor Agent

Automation

Schedules weekly autonomous runs to report new developments in tracked niches.

Technology & Models Used

Frameworks & Infrastructure
PythonLangGraphClaude 3.5 SonnetFastAPIPineconeNext.jsDocker
AI Models & Vectors
Claude 3.5 SonnetGPT-4o MiniCohere Rerank

Key Results & Production Metrics

85%
Time Saved per Research Brief
Reduced from 4 hours to 35 seconds
0 Hallucinated
Citations in Benchmark Tests
Strict primary-source URI grounding

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