Zero-trust AI platform with code reviews, desktop chat, tool packs, and developer libraries.
Your credentials, your GitHub App, your control.

• GitHub Actions Reviewer
• IX Chat (Windows desktop tray app)
• IX Tools (tool packs for chat and integrations)
• CLI tools (setup/auth/ops workflows)
• .NET library
• PowerShell module
• Issue Ops + Project Control

Screenshots below are sourced from current blog/gallery assets and mirrored under Assets/README/ for stable GitHub rendering.

AI PR reviewer for actionable findings, merge-blocking triage, and cleaner review loops.

• Docs: https://intelligencex.dev/docs/reviewer/overview/
• Blog: https://intelligencex.dev/blog/ix-reviewer-in-action/

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Windows tray chat app with provider/runtime selection and tool-calling support for diagnostics and investigation workflows.

• Docs: https://intelligencex.dev/docs/chat/overview/
• Blog: https://intelligencex.dev/blog/chat-flow-and-options/
• Blog: https://intelligencex.dev/blog/multilanguage-support-in-action/

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Tool packs for event/AD/system workflows used by IX Chat and custom integrations.

• Docs: https://intelligencex.dev/docs/tools/overview/
• Docs: https://intelligencex.dev/docs/library/tool-packs/
• Blog: https://intelligencex.dev/blog/event-viewer-in-action/

Current packs and representative tools:

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Project board and issue triage workflows for handling blockers, confidence signals, and follow-up actions.

• Docs: https://intelligencex.dev/docs/project-ops/overview/
• Docs: https://intelligencex.dev/docs/reviewer/projects-pr-monitoring/
• Blog: https://intelligencex.dev/blog/ix-issue-ops-in-action/

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Placeholder (generated visual; to be replaced with real product capture).

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Placeholder (generated visual; to be replaced with real product capture).

Developer-facing interfaces for setup automation, embedding IntelligenceX in .NET apps, and scripting in PowerShell.

• Docs: https://intelligencex.dev/docs/cli/overview/
• Docs: https://intelligencex.dev/docs/library/overview/
• Docs: https://intelligencex.dev/docs/powershell/overview/
• Blog: https://intelligencex.dev/blog/setup-best-practices-for-teams/

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Placeholder (generated visual; to be replaced with real product capture).

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Placeholder (generated visual; to be replaced with real product capture).

The .NET library includes a generic treatment layer for workflows that need to turn private input artifacts into structured AI output. A caller provides a brief, source artifacts, output expectations and optional image-generation settings; IntelligenceX handles prompt construction and provider execution.

using IntelligenceX.OpenAI;
using IntelligenceX.Treatment;

var request = new TreatmentRequest {
    Id = "writer-job-2026-05-19",
    Prompt = "Read the evidence and produce original publication drafts in Polish.",
    Instructions = "You are an independent technology editor. Do not copy source text.",
    WorkingDirectory = @"C:\Support\GitHub\NewsIntel\.newsintel\scan\evidence\appleradar",
    Inputs = new[] {
        new TreatmentInputArtifact {
            Id = "writer-job",
            Role = "brief",
            MediaType = "application/json",
            Path = "writer-job.json"
        },
        new TreatmentInputArtifact {
            Id = "evidence-bundle",
            Role = "evidence",
            MediaType = "application/json",
            Path = "evidence-bundle.json"
        }
    },
    Outputs = new[] {
        new TreatmentOutputSpec {
            Id = "writer-output",
            Modality = TreatmentOutputModality.Json,
            Description = "Publisher-safe article drafts with source references."
        }
    },
    OutputSchema = new TreatmentOutputSchema {
        Contract = "newsintel.writer-output.v1",
        Strict = true
    }
};

using var client = await IntelligenceXClient.ConnectAsync();
var engine = new TreatmentEngine(new OpenAIChatTreatmentProvider(client));
TreatmentResult result = await engine.RunAsync(request);

Local text-like input files such as JSON, Markdown, text, XML, YAML, CSV and HTML can be inlined into the model prompt with a per-file character limit. This keeps private evidence available to the AI writer without making the evidence a public website contract.

Recommended onboarding:

intelligencex setup wizard

Local web setup flow:

intelligencex setup web

From source:

dotnet run --project IntelligenceX.Cli/IntelligenceX.Cli.csproj -c Release -- setup wizard

• No backend service: IntelligenceX runs locally and/or in your GitHub Actions.
• Secrets stay under your control: stored in the environments you own.
• Bring your own GitHub App for identity, permissions, and auditability.
• Workflow changes happen via PRs so setup changes stay reviewable.

• Start here: https://intelligencex.dev/docs/getting-started/
• Reviewer: https://intelligencex.dev/docs/reviewer/overview/
• IX Chat: https://intelligencex.dev/docs/chat/overview/
• Tools: https://intelligencex.dev/docs/tools/overview/
• CLI: https://intelligencex.dev/docs/cli/overview/
• .NET library: https://intelligencex.dev/docs/library/overview/
• PowerShell: https://intelligencex.dev/docs/powershell/overview/
• Project Ops: https://intelligencex.dev/docs/project-ops/overview/
• Security: https://intelligencex.dev/docs/security/

• IntelligenceX/: core library
• IntelligenceX.Reviewer/: review pipeline executable
• IntelligenceX.Cli/: setup/auth/ops commands
• IntelligenceX.Chat/: desktop chat app, host, service, client
• IntelligenceX.Tools/: in-repo tool packs and contracts
• Docs/: source docs (published to the website)

Core CI-equivalent build check:

dotnet build IntelligenceX.CI.slnf -c Release
dotnet test IntelligenceX.CI.slnf -c Release

# CI also runs the executable test harness:
dotnet ./IntelligenceX.Tests/bin/Release/net8.0/IntelligenceX.Tests.dll
dotnet ./IntelligenceX.Tests/bin/Release/net10.0/IntelligenceX.Tests.dll

IntelligenceX.sln includes Chat/Tools projects for local integration work.

Publish CLI (self-contained portable style):

pwsh ./Build/Build-Project.ps1 -ToolsOnly -Targets IntelligenceX.Cli -Runtimes win-x64 -Frameworks net8.0 -Styles PortableCompat

MIT