Intelligence
Sixteen agents. One job each.
Bayesian estimators, finite-state strategists, semantic vector matchers, and a blackboard that lets them coordinate without stepping on each other. Below, the four you'll meet first — then how they work in concert.
Meet the workforceThe Agent Workforce
A specialized network of autonomous workers. Strategy flows down from the central nervous system, execution flows up from the tactical edge.
The Meta-Controller
The Central Nervous System utilizing a Finite State Machine (FSM). It dictates the global objective function (e.g., Launch vs. Liquidation) based on product lifecycle and market share.
The Constraint Engine
Bridges warehouse telemetry with the digital auction. It monitors Effective Lead Time (L_eff) to throttle ad spend before inventory reaches critical stockout levels.
The Intelligence Engine
Solves the Lexical Gap. Uses LLMs and Vector Matching to calculate Cosine Similarity between search terms and your product's 'Truth Vector'.
The Execution Arm
Operates in real-time. It executes Hourly Optimization cycles, managing intraday volatility and calculating optimal bid values using PID control.
Contextual Intelligence,
Not Static Rules.
Flat automation scripts fail because they don't know context. Our Strategist Agent utilizes a Multi-Dimensional State Engine to dynamically re-weight the objective function based on the product's current reality.
Environmental Context
Multi-Dimensional Objective
New ASIN detected. Prioritizing data acquisition and organic rank indexing over immediate profitability.
Algorithmic Weightings
Execution Plan
Bidding on intent,
not on lag.
Real-time data is a trap. The Tactician ignores noisy, zero-sale reports and bids on a Predicted Conversion Rate (pCVR) model trained on historical hourly profiles in AMC — intent, measured before the conversion lands.
Tuesday 14:00 — the Tactician boosted bids in your highest-profit hour.
Semantic Intelligence.
Beyond String Matching.
Standard tools look for words; we look for meaning. Our Analyst calculates cosine similarity (0.0 - 1.0) in vector space to identify intent.
Crossfit Trainers
The Blackboard Pattern.
A Shared Consciousness.
Our agents don't operate in silos. They synchronize through a central nervous system. Using the Blackboard Pattern, independent agents read and write to a global state, creating a unified, event-driven response.
Select Market Event
Autonomous Resolution Sequence
Detects supply chain anomaly
Logs updated lead time and reduced Days of Supply (DoS).
Updates central context
Broadcasts 'CRITICAL_STOCK' event to all subscribed agents.
Recalibrates objective
Shifts engine from 'Growth' to 'Preservation' to protect organic rank.
Adjusts market position
Pauses top-of-funnel discovery campaigns and reduces overall bids by 35%.
Business Outcome
Stock-out prevented. Organic ranking maintained during supply gap.
The Vanity Metric Trap.
Optimizing for ROAS incentivizes volume contraction. Our Strategist maximizes the integral of the profit function over time—Total Net Profit (TNP).
The Divergence
Observe how "Target ROAS" (Gray) flatlines because it rejects profitable volume that essentially lowers the efficiency average.
The Solution
Our "Max TNP" Agent (Blue) accepts lower ROAS bids on incremental sales, stacking Absolute Profit Dollars (Green Area).
"You can't deposit 'ROAS' in the bank. You deposit Dollars."
See it for yourself
Real statistical models — running on your account before you flip live.
Shadow Mode runs the full agent stack against your real campaigns, read-only, free indefinitely. You read the traces. You decide if it earns the live bid.
Public Shadow Mode opens Q3 2026 · one email when the door opens · no drip