News Cog - 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

Run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) to install and authenticate. OpenClaw users: Run clawhub install cellcog instead. Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.