ProfileClaw
Platform

Context Compounds. Tokens Multiply.One identity layer. Every agent reads it.

ProfileClaw turns who you are into a portable context protocol. Reports, agents, and enterprise systems all read from the same source—so you stop repeating yourself.

The old way

Context dies with every session

RIASEC here, resume there, AI in another product. Every switch means explaining yourself again. Tokens wasted. Signals lost.

ProfileClaw layer

Identity as infrastructure

Four assessments, resume parsing, skills, and preferences in one profile—collected once, compounding forever.

What emerges

Agents that actually know you

Every call starts from context, not zero. AI doesn't guess—it acts from a stable picture of who you are.

Three-Layer ArchitectureCollect. Analyze. Deliver.

Data enters the base. Intelligence analyzes fit and direction. Application delivers to users, agents, and systems.

Platform stack
1

Data Layer

2

Intelligence Layer

3

Application Layer

Data Layer

Assessments, resume, and preferences form a continuously updated profile. Long-term records, not one-time reports.

Intelligence Layer

Runs fit scoring, pivot risk, and path recommendations. Every conclusion traces to real signals.

Application Layer

You get readable reports. Developers call profile data. Enterprises use live APIs.

Core Capabilities

One profile works across products, agents, and systems.

Structured Modeling

Interests, personality, values, skills, and resume live in one queryable profile.

Explainable Reasoning

Every recommendation cites its source. No black-box guesses.

Multi-Surface Delivery

Same data powers reports, AI chat, agents, and developer APIs.

Permission Controls

Your data is only accessible after authorization. Clear boundaries and audit trails.

ProfileClaw platform capabilities showcase

Platform Capabilities

One profile, multiple outputs

Three Ways to Use It

Different roles start from the same profile.

Individuals: Build and view

Take the four assessments, then unlock resume parsing and comprehensive reports.

AI & Agents: Read and analyze

Pull career data through the Context API. Agents screen from real signals, not guesses.

Enterprises: Connect and embed

Integration is in progress. Start by evaluating scenarios through the live API.

Platform Governance

You own your data—viewable, exportable, deletable

Every API call respects permission boundaries

AI output traces back to data sources

Same assessment data shouldn't be collected twice

Authorized products reuse the same profile

Next step

See the Platform in ActionStart with docs or ecosystem scenarios.

Developers can start with the Context API. Enterprises can explore ecosystem integrations.