Grok for Research & Fact-Checking: Live Data Prompts

I'm researching [topic]. Here's my scope:

Timeframe: [specific dates or rolling window]
Source preference: [official/academic/news/social]
Depth: [overview | detailed analysis | comprehensive review]
Output format: [briefing | annotated bibliography | comparison table]

Phase 1 — Gather:
Search for the most relevant and recent information. For each
source found, note: title, date, source type, and a 1-sentence summary.

Phase 2 — Analyze:
Once you've gathered sources, synthesize them into [output format].
Highlight areas of consensus, areas of disagreement, and gaps
where information is missing or unclear.

Verify this claim: "[exact claim text]"

Verification steps:
1. Identify the specific factual assertions in this claim
2. Search for the original source of this claim
3. Search for at least 2 independent sources that address each assertion
4. Compare what sources say — do they agree, disagree, or add nuance?
5. Check if any numbers or statistics in the claim are accurately cited

Output:
- Claim: [restate]
- Verdict: Confirmed / Partially True / Misleading / False / Unverifiable
- Key evidence: [summarize what sources say]
- Nuance: [what context changes the interpretation]
- Sources: [list with URLs and dates]

Fact-check the following claims. For each one, provide a verdict
and brief evidence summary.

Claims:
1. "[claim 1]"
2. "[claim 2]"
3. "[claim 3]"

For each claim:
- Verdict: Confirmed / Partially True / Misleading / False / Unverifiable
- Evidence: 2-3 sentences with source references
- Confidence: High / Medium / Low (based on source quality and quantity)

Present as a table, then expand on any claims rated "Low" confidence
or "Misleading."

Track the development of [story/event] over the past [timeframe].

For each major development:
- Date and time (as specific as possible)
- What happened
- Key actors involved
- How it changed the overall trajectory

Then provide:
- A narrative summary of how the story evolved
- The current status as of today
- What's likely to happen next (based on stated plans, scheduled events,
  or expert predictions — not speculation)

Identify emerging trends in [domain/industry] based on current data.

Look for:
- Patterns across multiple recent news articles and announcements
- Shifts in public discourse on X/Twitter
- New products, policies, or publications that signal direction changes
- Data points that contradict the conventional wisdom

For each trend:
1. Name it clearly
2. Cite 3+ supporting data points with sources
3. Rate its maturity: Emerging / Accelerating / Established
4. Explain why it matters

Distinguish between actual trends (sustained patterns) and hype
cycles (short-lived buzz). Be explicit about which is which.

Help me build a literature review on [specific research topic].

Search for:
- Recent publications (last 12 months) on this topic
- Seminal papers that are frequently cited in recent work
- Any preprints or working papers that haven't been formally published

For each paper/source:
- Full citation (authors, title, venue, year)
- Key findings in 2-3 sentences
- Methodology summary
- How it relates to my research question: [your question]

Organize by: [chronological | thematic | methodological]

Note: If you cannot find specific paper details, say so rather than
approximating. I'll verify all citations independently.

Research the current specification for [standard/protocol/API].

I need:
1. The latest version number and release date
2. Key changes from the previous version
3. Current implementation status across major platforms
4. Known issues or limitations documented by implementers
5. Links to official specification documents

Prioritize official sources (W3C, IETF, official repos) over
blog posts or tutorials. If the spec is in draft status, note that
prominently.

For every source you cite, assess its quality:

Tier 1 (High confidence):
- Official documentation, government data, peer-reviewed publications
- Primary source reporting from established outlets

Tier 2 (Moderate confidence):
- Industry analysis from known firms
- Technical blogs from recognized practitioners
- Reputable news outlets' secondary reporting

Tier 3 (Low confidence):
- Anonymous social media posts, forums, unverified blogs
- Sources with clear commercial bias
- Single-source claims without corroboration

Label each source with its tier. If your answer relies heavily
on Tier 3 sources, flag that prominently.