9 articles2026-09-23
Claude Financial Services: what the public plugins actually provide
Separate financial workflow files, paid host services and human approval before choosing an agent.
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EasyAI / Open source
One project, one complete learning path: discover the idea, run it safely, inspect the architecture and code, then decide what to build next.
Separate financial workflow files, paid host services and human approval before choosing an agent.
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Understand the shared core, provider configuration and tool permissions before choosing an interface.
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Understand coverage records, independent verification and the limits of an AI-assisted audit.
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Separate agents, commands, hooks and MCP configuration from the Claude Code host that uses them.
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Learn what proposals, behavior specs, designs and tasks contribute before an assistant edits code.
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Understand why a model can fit without promising that it will generate quickly on your hardware.
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Build a mental model of the framework before downloading pretrained weights.
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Understand the single-process platform and the external services it may still contact.
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Nine practical chapters on the AI review CLI, including source selection, fifteen isolated Go checks, deployment controls and an honest cost experiment.
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Understand Anthropic’s plugin collection through its productivity workflow, including local tasks, workplace memory and optional external connectors.
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Understand the model, storage and operator responsibilities behind a self-hosted LibreChat workspace.
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Understand local routing, protocol translation and provider permissions before connecting a coding client.
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