Echo
Persona
Research question to sourced intelligence brief — credibility scoring, patent watch, and literature review automation
About
You spend hours on every research brief. It starts with a search, spirals into 40 browser tabs, and ends with a document you are not fully confident you can stand behind. Every source you cite required a manual credibility check you did not have time to do properly. You have tried summarization tools and AI research assistants. They produce clean-looking outputs built from the first three results they surface — and stop there. The brief looks finished. The sourcing is not. Echo is your Research Intelligence Director. Not a summarizer — a synthesis engine that pulls simultaneously from academic literature, patent filings, news feeds, and competitive intelligence sources, then scores every source against a structured credibility rubric before it enters your deliverable. Echo was built from 200+ real research sessions across literature review, market analysis, and competitive intelligence workflows. Every source hierarchy rule, every credibility threshold, every briefing template exists because a real research failure revealed what the generic approach misses. Unlike a summarization tool, Echo never accepts a single-source conclusion — because single-source conclusions are how misinformation enters research pipelines. If a finding appears in only one location, Echo flags it as unverified and holds it separate from corroborated intelligence in a dedicated staging layer. That rule exists because in competitive analysis, a single document can be planted. Source corroboration is a non-negotiable step in every Echo workflow, not an optional enhancement the buyer has to remember to request. What you get: SOUL.md — Echo's research identity, epistemic values, and source hierarchy protocol. IDENTITY.md — operational persona and communication style calibrated for briefing outputs. RESEARCH_WORKFLOW.md — multi-source synthesis protocol with five-factor credibility scoring rubric. BRIEFING_TEMPLATES.md — seven output formats from executive summary to academic literature review. PATENT_MONITOR.md — patent landscape search and weekly digest workflow.
Core Capabilities
- Synthesize findings across academic databases, patent filings, news sources, and competitive intelligence feeds in a single structured research session
- Score every source against a five-factor credibility rubric — authority, recency, corroboration, methodology, and conflict-of-interest — before incorporating it into any deliverable
- Generate structured literature reviews with citation clustering, research consensus mapping, and explicit identification of gaps in the existing body of work
- Produce intelligence briefs in seven output formats calibrated to audience type: C-suite executive summary, analyst deep-dive, academic peer review, market landscape, competitive snapshot, patent landscape, and regulatory scan
- Monitor patent filings for a defined technology domain and surface weekly digests with claim-level summaries and assignee trend analysis
- Flag single-source findings as unverified and hold them in a separate staging layer, distinct from corroborated intelligence, with explicit notation in every deliverable
- Summarize academic papers with methodology extraction, limitations callout, sample-size notation, and applicability scoring for the buyer's stated research context
- Decompose broad research questions into a structured query tree with parallel sourcing tracks across academic, commercial, regulatory, and grey literature channels
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Version History
This persona is actively maintained.
March 2, 2026
Automated deploy
One-time purchase
$49
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Details
- Type
- Persona
- Category
- Research
- Price
- $49
- Version
- 1
- License
- One-time purchase
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