Task Blocks: The Foundation of Deterministic, Agentic AI

The Vision

From Tokens to Tasks

We are fundamentally rethinking the core architecture of autonomous systems. Traditional Large Language Models (LLMs) are generative they predict text token-by-token. This approach is inherently ill-suited for reliable, real-world task execution, resulting in high latency, fragility, and poor determinism.

Task Blocks (TBs) represent an architectural shift. They replace token-driven planning with structured, reusable automation units. For web automation tasks like form filling, data extraction, and navigation which demand robust, structured actions rather than linguistic creativity, Task Blocks provide the deterministic, cost-efficient, and reliable foundation required by enterprise clients.

A Task Block is an atomic, self-contained unit of execution. It executes a structured action deterministically, ensuring that the same input reliably yields the same output every single time.

The Analogy: LLM agents are like asking locals for directions at every corner prone to misunderstanding. Task Blocks are a GPS system: deterministic, turn-by-turn, and efficient. They are pre-fabricated modular construction, instantly craned into the workflow, resulting in structurally sound automation, unlike the slow, fragile, token-by-token "3D printing" approach of traditional agents.

Architecture

Engineering for Reliability

The superior reliability and performance of our system stem directly from the strict, defined architecture governing every Task Block. This architecture guarantees safety, type integrity, and determinism.

1. The Task Block Schema

Every Task Block adheres to a strict schema, ensuring it is fully defined, versioned, and auditable. Key required fields include:

ComponentPurposeExamples & Requirements
ID & VersioningUnique identification for registry management and version controlid (e.g., "nav_open_url_v1") and version (e.g., "1.0.0").
TypeCategorizes the block's functionNavigation, Extraction, Input, API, Control Flow, Validation.
I/O SchemaEnforces strict data types and structure for inputs and outputsDefined using JSON Schema (e.g., Ajv validation). Ensures robust data flow between steps.
PreconditionsRequired state checks before executionEnsures the environment is ready (e.g., "element_exists:selector").
PostconditionsGuaranteed state after successful executionValidates the block achieved its goal (e.g., "data_extracted").
Cost EstimatePredictable consumption metricsCritical for demonstrating $0.00 cost and 0 LLM tokens for deterministic blocks.
ConfidenceReliability scoreStatic high score (0-1) for deterministic blocks.

2. The Task Block Runtime

The core execution engine is designed for speed and resilience, utilizing a production-ready infrastructure built on TypeScript and strict patterns. The runtime provides:

  • Deterministic Execution: Guarantees that the same inputs produce the same outputs consistently.
  • Strict Precondition Checks: Implements "fail-fast" logging, stopping execution immediately if prerequisites are not met.
  • Automatic Retry Logic: Built-in resilience using structured policies like exponential backoff with jitter to handle transient errors gracefully.
  • Immutable State Management: Maintains state persistence across Task Block sequences, with state snapshots and restoration capabilities, ensuring full history and traceability.
  • Comprehensive Observability: Logging and telemetry track every action, decision, and state transition, generating a full audit trail.

Performance

The Competitive Edge: Zero Token Dependency

Our architectural choices eliminate the "Token Tax," providing a massive, quantifiable advantage over all token-driven LLM agents.

Quantitative Performance Metrics

Benchmarked against traditional LM agents, Task Blocks deliver superior performance across every critical metric:

MetricTraditional LLM AgentTask BlocksImprovement
LLM Tokens Used20,000–60,000+ per workflow0100% savings
Cost per Run$0.002+ to $0.10+$0.000140x to 75x cheaper
Execution Time90–180 seconds1–20 seconds4-6x faster
Success Rate60–85%100%10–25% better
DeterminismNo (Stochastic)Yes (100% Deterministic)Infinite Improvement

Our Phase 1 Proof-of-Concept demonstrated technical feasibility, achieving the target of ≥20% reduction in median task completion time and ≥15% improvement in task success rate versus the baseline LM agent.

Workflow

How It Works: Workflow Composition

Complex automation is achieved by chaining Task Blocks using the Rule-Based Workflow Composer. Workflows are defined declaratively using simple YAML/JSON configurations.

Declarative Workflows

The Composer parses the workflow definition (e.g., from a YAML file) and generates an execution plan by checking dependencies and validating data flow between blocks.

Enterprise-Ready Features

Task Blocks are built on a robust, production-ready foundation:

  • Full Audit Trail: Every action is logged and verified through execution history and screenshots, enabling full compliance and debugging.
  • Error Recovery: Automatic retries, conditional branching, and custom error recovery strategies ensure resilience.
  • Composability: The 30-block library is highly reusable, allowing developers to create entirely new, complex workflows with minimal effort.
  • Type Safety: Built entirely on TypeScript in strict mode, catching errors at compile time and guaranteeing data integrity.

The Task Blocks system delivers the speed and cost-effectiveness of traditional scripting with the structure, reliability, and observability necessary for global enterprise deployment.

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