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News Briefing
Try itMulti-angle news research and competitive intelligence, synthesized into agent-ready briefs.
What it does
Runs multi-angle research on every query — decomposing your topic into multiple search intents, retrieving across hundreds of sources with frontier search models, then cross-referencing and synthesizing findings into concise intelligence. Output is structured for agent consumption so it doesn't flood your main context window. Choose from structured text, PDF reports, interactive HTML dashboards, or Markdown — whichever fits your downstream pipeline.
When to use it
- Morning briefings or pre-market news summaries scoped to a specific sector
- Competitor monitoring and funding trackers over a defined time window
- Deep trend analysis across dozens of publications, packaged as an industry report
- Event coverage digests such as conference announcements or regulatory roundups
The skill document
News Briefing - AI News Intelligence Powered by CellCog
Frontier search models with multi-angle research on every query.
CellCog combines deep reasoning with SOTA search models and multi-intent research to produce accurate, comprehensive news intelligence. Briefs, reports, and digests delivered ready for your agent to consume — without pulling hundreds of articles into your main agent's context window.
How to Use
For your first CellCog task in a session, read the cellcog skill for the full SDK reference — file handling, chat modes, timeouts, and more.
OpenClaw (fire-and-forget):
result = client.create_chat(
prompt="[your task prompt]",
notify_session_key="agent:main:main",
task_label="my-task",
chat_mode="agent",
)
All agents except OpenClaw (blocks until done):
from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
prompt="[your task prompt]",
task_label="my-task",
chat_mode="agent",
)
print(result["message"])
What You Can Get
Daily Briefings
Concise, actionable summaries:
- Morning Briefing: "Give me today's top tech industry news — focus on AI, cloud, and enterprise software"
- Market Open: "Summarize pre-market news affecting FAANG stocks and semiconductor sector"
- Industry Digest: "Summarize this week's most important developments in renewable energy"
- Startup News: "What happened in startup funding this week? Series A+ rounds in fintech"
Example prompt:
"Create a morning briefing for a startup CEO:
Focus areas:
- AI industry developments (new models, funding, regulations)
- SaaS market trends and notable deals
- Macro economic signals (Fed, inflation, tech employment)
Format: Bullet-point brief with one-sentence summaries and source links. Highlight anything that requires immediate attention. Total length: Under 500 words — I need to scan this in 2 minutes."
Competitive Intelligence
Monitor your competitive landscape:
- Competitor Watch: "What has Notion shipped or announced in the last 30 days?"
- Market Moves: "Summarize recent M&A activity in the cybersecurity sector"
- Product Launches: "What new AI developer tools launched this month?"
- Funding Tracker: "List all AI companies that raised $50M+ in the last 2 weeks"
Trend Reports
Deeper analysis of emerging patterns:
- Trend Analysis: "What are the emerging trends in AI agent infrastructure? Analyze recent launches, funding, and technical developments"
- Regulatory Watch: "Summarize new AI regulations proposed or enacted globally in 2026"
- Technology Shifts: "Research the shift from RAG to long-context models — what are the latest developments?"
Custom News Digests
Tailored to your specific needs:
- Role-Specific: "Create a weekly digest for a VP of Engineering at a fintech company"
- Topic-Specific: "Summarize everything published about quantum computing this week"
- Region-Specific: "What's happening in the European tech ecosystem this month?"
- Event Coverage: "Summarize the key announcements from AWS re:Invent 2026"
Why CellCog for News?
The Technical Edge
CellCog doesn't just search once and summarize — it runs multi-angle research across your query:
- Multiple search intents: A single news query is decomposed into multiple research angles
- Frontier search models: SOTA retrieval across hundreds of sources
- Deep reasoning: Cross-references and synthesizes findings, not just concatenates
- Citation quality: Sources traced back to original reporting, not aggregator summaries
| RSS Feeds / News Aggregators | CellCog News Cog |
|---|---|
| Raw article firehose | Synthesized, prioritized intelligence |
| You filter and read | CellCog researches, reasons, and summarizes |
| Same view for everyone | Tailored to your role, industry, and priorities |
| Text links only | Structured briefs, PDF reports, or interactive dashboards |
| Floods your context | Delivers concise, agent-consumable output |
Agent-Optimized Output
CellCog News Cog is designed with agent workflows in mind. The output is:
- Concise — won't overwhelm your main agent's context window
- Structured — clear sections, bullet points, and hierarchies
- Actionable — highlights what matters and why
- Sourced — includes citations when requested
Output Formats
| Format | Best For |
|---|---|
| Structured text | Agent consumption, quick briefings |
| PDF Report | Professional distribution, archiving |
| Interactive HTML | Explorable dashboards with filters |
| Markdown | Integration into docs, wikis, or knowledge bases |
Chat Mode for News
| Scenario | Recommended Mode |
|---|---|
| Daily briefings, quick news summaries | "agent" |
| Competitive intelligence, single-topic digests | "agent" |
| Deep trend analysis, comprehensive industry reports | "agent team" |
Use "agent" for most news tasks. Daily briefings, competitive monitoring, and news digests execute well.
Use "agent team" for deep trend analysis — when you need multi-source synthesis across dozens of publications and research papers.
Tips for Better News Intelligence
-
Define your focus: "Tech news" is too broad. "AI infrastructure and developer tools" is focused.
-
Specify timeframe: "Today's news", "this week", "last 30 days" — recency matters.
-
Set the audience: "For a technical audience" vs. "for a board of directors" changes depth and tone.
-
Request structure: "Bullet-point brief under 500 words" vs. "comprehensive PDF report with sections" — be explicit.
-
Ask for citations: "Include source URLs for each item" — when traceability matters.
-
Indicate priority signals: "Highlight anything about regulation changes or major funding rounds" — helps CellCog surface what matters to you.
If CellCog is not installed
Claude Code, Cursor, Codex + 70 more agents: npx skills add cellcog/skills --skill cellcog
OpenClaw: clawhub install cellcog
CellCog plugin users: run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool)
Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.
Questions people ask
- How is this different from an RSS feed?
- Instead of dumping raw articles, it decomposes your query into multiple research angles, retrieves across hundreds of sources, then synthesizes a structured brief with citations to original reporting.
- Which chat mode should I use for news tasks?
- Use "agent" for daily briefings, competitive intelligence, and single-topic digests. Switch to "agent team" when you need multi-source synthesis across many publications — for example, deep trend analysis or comprehensive industry reports.
- What do I need to install?
- Install the cellcog skill via `npx skills add cellcog/skills --skill cellcog` (Claude Code, Cursor, Codex), `clawhub install cellcog` (OpenClaw), or `pip install cellcog` with a `CELLCOG_API_KEY` set. See the cellcog skill for the full SDK reference.
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