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:

1. AI industry developments (new models, funding, regulations)
2. SaaS market trends and notable deals
3. 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:

1. Multiple search intents: A single news query is decomposed into multiple research angles
2. Frontier search models: SOTA retrieval across hundreds of sources
3. Deep reasoning: Cross-references and synthesizes findings, not just concatenates
4. Citation quality: Sources traced back to original reporting, not aggregator summaries

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

Choosing Mode & Tier

The flash tier is the default and handles most news briefings well — fast and economical. Upgrade to chat_tier="max" when quality disappoints or the work is genuinely complex: just re-run the same prompt with chat_tier="max".

Agent Team (chat_mode="team") is reserved for deep research — don't use it for news briefings.

Tips for Better News Intelligence

1. Define your focus: "Tech news" is too broad. "AI infrastructure and developer tools" is focused.

2. Specify timeframe: "Today's news", "this week", "last 30 days" — recency matters.

3. Set the audience: "For a technical audience" vs. "for a board of directors" changes depth and tone.

4. Request structure: "Bullet-point brief under 500 words" vs. "comprehensive PDF report with sections" — be explicit.

5. Ask for citations: "Include source URLs for each item" — when traceability matters.

6. 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: openclaw skills install @cellcog/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.