Features

Built Different, By Design

Every system in ALIN exists for a reason. No feature bloat, no wrappers โ€” purpose-built intelligence that learns.

Execution

TBWO Orchestration

Time-Budgeted Work Orders are ALIN's execution framework for complex tasks. Not just task lists โ€” intelligent, bounded autonomy.

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Work Orders

Describe an outcome and ALIN generates a professional execution plan with phases, pods, time budgets, and quality targets. Review and approve before anything runs.

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Agent Pods

Specialized AI agents (Design, Frontend, Backend, QA, Copy, Motion) work in parallel. Each pod has domain-specific prompts and passes artifacts to the next.

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Receipt System

Every decision logged. Every assumption documented. Every file has provenance. Trust through transparency โ€” see exactly what ALIN did and why.

Intelligence

8-Layer Memory System

Not just chat history. A structured cognitive architecture that makes ALIN genuinely smarter over time.

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Session Memory

Layer 0: immediate context. Layer 1: 24-hour working memory. Fast, volatile, always current. The foundation everything else builds on.

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Project Memory

Layer 2: project-scoped context. Layer 3: episodic (timestamped experiences). Remembers what happened in each project across sessions.

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Self-Model

Layers 5-7: user model, notes, and self-referential data. ALIN learns your preferences, tracks its own reliability, and adjusts behavior automatically.

Automation

Unified Intelligence

No modes. No templates. ALIN figures out what you need and handles it.

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Intent Detection

ALIN classifies every request: quick answer, tool call, or full autonomous sprint. You never pick a mode โ€” just describe what you want.

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Self-Learning

Tracks execution outcomes, tool reliability, and user corrections. After 3+ overrides in the same direction, ALIN adjusts permanently.

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Hardware-Aware

Pods schedule around your actual hardware. GPU for rendering, CPU for code, network for research. Never pegs your system at 100%.

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Cross-Model Routing

Fast model for clarification, strong model for planning. ALIN picks the right model for each sub-task. Supports Claude + OpenAI simultaneously.

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Mid-Execution Clarification

Pods ask questions during work, not just at checkpoints. With auto-accept, ALIN answers using memory and logs the decision in the receipt.

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Confidence Signals

See how certain ALIN is about each decision. Low confidence = escalate to you. High confidence = proceed autonomously. Always visible in the dashboard.

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Bounded Autonomy?

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