BeaverStudio Daily Monitor
Five vertical command centers with 32 purpose-built panels across Sales, Marketing, HR, Finance, and Operations. Some panels pull live data right now. Others show demo data that previews what real integrations look like. Everything is labeled honestly.
Thirteen panels fetch live data today — Google search rankings, website content analysis, AI search visibility, news via RSS, social signals from Hacker News and Reddit, website funnel extraction, attribution signals, brand mentions, and competitor intel. No API keys needed. The remaining panels use realistic demo data to show what the dashboard looks like once you connect a CRM, ad platform, or HR system.
That’s it. No integrations, no API keys, no onboarding wizard.
It reads your site, detects your industry, identifies competitors, extracts keywords, and maps your market position.
Live panels (SEO ranks, content analysis, AI visibility, attribution, website funnel, social signals, brand mentions, competitor watch) start returning real data immediately. Demo panels show realistic sample data so you can see exactly what the dashboard delivers once integrations are connected. Every panel is labeled with its data source.
An agent scales not by getting smarter, but by building its own workforce. Every Daily Monitor workflow operates through one of three delegation layers, each with different cost and trust profiles.
23 internal tools (7 general, 8 sales, 8 marketing) plus 9 MCP integrations across 4 servers. The agent invokes them and receives structured output. Params in, data out. Zero reasoning cost to the agent.
Graduated workflows running fixed tool-call sequences with one bounded AI interpret step. Cost per run: ~$0.0005. These are proven patterns extracted from real agent work — not hand-built automations.
Own context window, full AI reasoning. $0.01–$0.05 per task. Reserved for novel problems, exploration, and judgment calls. When a sub-agent solves something repeatedly, it graduates into a minion.
The agent uses 43 tools to analyze, discover, and monitor on your behalf. These capabilities work against public web data today. When integrations are connected, the same tools operate on your private business data.
Each vertical gets its own command center with panels designed for that role’s daily workflow. Sales (10 panels), Marketing (10), HR (4), Finance (4), and Operations (4).
Panels marked AI use LLM-powered analysis. Color-coded badges show data source: LIVE pulls real public data now, DEMO shows realistic sample data, and NEEDS CRM is ready for your CRM or ad platform connection.
Built workflows are theories. Graduated workflows are proofs. Every automation in the Daily Monitor started as exploratory agent work, then earned its way into a recurring pipeline through real usage.
A sub-agent explores a novel task — fetching competitor pricing, analyzing pipeline health, auditing SEO rankings. Full AI reasoning, real tool calls.
Every tool call, parameter, and result is captured as a trace. The manager agent watches what works and what doesn’t.
Dead-end removal, deduplication, and AI-driven parameter extraction compress the trace into a deterministic runbook. The exploration noise is stripped. The proven path remains.
The runbook replays deterministically with one bounded AI interpret step. ~$0.0005 per run. The freed sub-agent slot opens for new exploration.
We believe in showing you exactly what is real and what is preview. Every panel is labeled with its data source so there are no surprises.
These panels pull live data from public sources today: Google search rankings, website content analysis, AI search visibility, website funnel extraction, attribution signal detection, social signals from Hacker News and Reddit, brand mentions, competitor intelligence, and industry news via RSS. No API keys or integrations needed.
Most panels show carefully crafted demo data that previews what the dashboard looks like with real integrations connected. The data is realistic but not from your actual business. This lets you evaluate the layout, metrics, and workflows before committing to any integration.
Pipeline, Deals, Forecast, Paid Ads, and Email panels are built and waiting for CRM or ad platform connections (Salesforce, HubSpot, Google Ads, etc.). The architecture is in place — we are building the integration layer now.
Create workflows that run on schedule — hourly, daily, or weekly. Each workflow chains tool calls into a deterministic pipeline: fetch data, analyze changes, detect anomalies, and surface results in your command center. Workflows that break auto-pause after 3 consecutive failures.
A real LLM-powered agent that synthesizes data from across your panels into a daily briefing. It reads what changed overnight, identifies cross-signal patterns (competitor moves correlating with pipeline changes, hiring surges matching intent spikes), and writes a summary in plain language. Not a template — actual AI reasoning over your panel data.
Once workflows are graduated, each run costs ~$0.0005 — deterministic pipelines with one bounded AI call, not full reasoning chains.
20 workflows daily, 30 days: $0.30/month. Compare that to the enterprise tools most teams cobble together.
13 live panels pull real data from public sources today — Google search, website crawling, AI search queries, RSS feeds, social platforms, GitHub, and web scraping. Zero API keys.
14 demo panels show realistic sample data so you can evaluate the full dashboard experience before connecting anything.
5 integration-ready panels have the architecture built — Pipeline, Deals, Forecast, Ads, and Email are waiting for CRM connections.
InsightsPanel agent uses real LLM reasoning to synthesize cross-panel data into plain-language daily briefings.
Workflow engine runs automated monitoring on schedule. Auto-pause at 3 failures. State cursors ensure only new data surfaces.
Open the Daily Monitor to explore all five command centers. Live panels show real data. Demo panels show what the full experience looks like.