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Browser Research to Cited Report
by Vivek K
Turn a research question into a decision-ready report with source grades, claim-to-source mapping, contradictions, and confidence levels.
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See it in action
You say
Research question:
Should our 20-person B2B SaaS company add an AI meeting-notes feature to our existing project-management product?
Context:
- We sell to operations managers at mid-market companies.
- Our current price is about $50 per user per month.
- We do not have an in-house machine-learning team.
- We can use third-party transcription and summarization APIs.
- We want to know whether this feature is a differentiator or becoming table stakes.
- We need evidence on buyer demand, competitor presence, pricing impact, and implementation risk.
- The decision is whether to build a prototype next quarter.
Constraints:
- Limited budget.
- No desire to build custom speech models.
- Must avoid heavy compliance burden.
- Preference for sources from the last 24 months.
Output needed:
- A cited research report.
- Evidence table.
- Source quality grading.
- Contradictions.
- Recommended next action.
Your agent does
Cited Research Report
1. Research Brief
| Field | Value | | Research question | Should a 20-person B2B SaaS company add AI meeting notes to its project-management product | Decision supported | Whether to build a prototype next quarter. | | Overall confidence | Medium | | Decision readiness | Conditional |
2. Executive Summary
Direct answer: Build a narrow prototype only if it integrates into existing project workflows. Standalone AI meeting notes appear likely to become table stakes; differentiate via meeting → tasks, owners, deadlines, and project updates.
3. Key Findings
- Basic AI meeting summarization is becoming common. | Medium | S1, S2
- Stronger differentiator is converting notes into tasks and project updates. | Medium | S3
- Implementation risk is moderate (third-party APIs + privacy). | Medium | S4
5. Source Register
S1 Competitor A pricing | vendor | Tier A | vendor-self S2 Competitor B AI features | vendor | Tier C | vendor-self S3 Customer interview summary | user-provided | Tier B | user-provided S4 Transcription API guidance | secondary | Tier B | independent
6. Contradictions
Table stakes (S1,S2) vs workflow-native differentiator (S3) → prototype the workflow layer.
9. Recommended Next Actions
- Interview 8–12 customers about meeting-to-task needs
- Compare three transcription providers on privacy, pricing, reliability
- Prototype only the meeting-to-task flow if interviews are positive
10. Research JSON
{ "overall_confidence": "Medium", "decision_readiness": "Conditional", ... }
Note: Demo sources are illustrative placeholders. Real runs use verified accessible sources only.
What you get
About this skill
The problem
Generic “research this” prompts produce summaries without defensibility: missing sources, vendor marketing treated as fact, contradictions buried, and no clear signal whether evidence is strong enough to decide. Teams waste hours rebuilding the same structure in Docs or Notion.
What it does
Browser Research to Cited Report runs a disciplined research workflow and returns a decision-ready artifact:
- Scoped research brief (question, decision, includes/excludes, timeframe)
- Executive summary with a direct answer, implications, and key unknowns
- Key findings with confidence levels (High / Medium / Low / Insufficient)
- Evidence table mapping every material claim to source IDs
- Source register with quality tiers (A–D) and independence labels
- Contradictions, assumptions, missing data, and “what would change this conclusion”
- Recommended next actions
- Structured Research JSON for Notion, Airtable, CRM, or internal tools
Frameworks & tools
- Source quality rubric (Tier A–D) and independence rules
- Research integrity rules (no fabricated URLs/quotes/stats; vendor claims labeled)
- Report schema for Markdown + JSON parity
- Agent web search / browse / fetch tools when available
- Safe degradation when only user-provided excerpts are available
Why this beats prompting it yourself
- Enforced claim-to-source mapping — no orphan conclusions
- Source grading and independence so marketing pages don’t masquerade as proof
- Contradictions and confidence levels instead of false certainty
- Decision readiness (Sufficient / Conditional / Insufficient) built into the brief
- JSON artifact ready to reuse — not a one-off chat dump
- Clear safety boundaries: public sources only; no paywall bypass, send, or publish
Use cases
- Should we ship this feature next quarter?
- Competitor landscape with evidence, not vibes
- Vendor comparison before a contract
- Client or internal due-diligence memo
- Market or trend research with recency constraints
- Leadership brief that separates fact, estimate, and interpretation
Known limitations
- Quality depends on accessible public sources (or user-provided excerpts)
- Cannot bypass paywalls, logins, CAPTCHAs, or private systems
- Not legal, medical, tax, or financial advice — research findings only
- Fast-moving topics need recent sources; older material is background only
- If browser tools are unavailable, output is limited to user-provided material or a research plan
- Sample sources in the marketplace demo are illustrative placeholders, not live citations
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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