Skynet and ScreenMemory turn research, publishing, social distribution, and visual proof into a repeatable operating system.
The public site is the demo surface: live articles, audit trails, viewport checks, and social workflows show the infrastructure investors and partners can inspect today.
Content-heavy operators, agencies, research teams, and browser-workflow teams need systems that can publish, verify, and act with visual context. Skynet is the operating layer we use to coordinate that work across agents and proof gates.
GPU-accelerated screen perception that lets AI see, read, and interact with any application on any screen. The visual cortex powering our autonomous agents.
GPU-accelerated DXGI capture grabs any screen in under 1 millisecond. Multi-monitor support with active window introspection.
Triple-fallback OCR engine — RapidOCR (ONNX), PaddleOCR, Tesseract. Spatial bounding boxes with confidence scoring.
GodMode browser automation with 8-layer semantic navigation. Zero-pixel clicks through accessibility tree parsing.
Win32, UIA, CDP, DXGI, ONNX — unified perception-to-action pipeline. From screen capture to autonomous task execution.
The operating model is built around source intake, AI production, review gates, and visible output that investors can inspect.
RSS feeds, trend keywords, or manual topics feed into the system
AI lanes draft, structure, and prepare visual assets while source checks stay attached to the work
WordPress article, social package, metadata, and proof artifacts are prepared for review
These are the systems doing the most visible work on velocity, visual quality, and search discipline.
Source-backed publishing workflows turn research notes, proof artifacts, and social packages into repeatable platform posts.
Visual systems convert technical work into explainable diagrams, media, and proof screenshots without inventing results.
Search metadata, source links, Open Graph previews, and classification checks are handled as publish gates.
Agent workflows are routed through documented lanes so decisions, prompts, and handoffs can be audited.
Distribution handoffs prepare channel-specific copy, media, and proof instead of treating publishing as the finish line.
Positioning, captions, and headlines are reviewed against the source package before content goes live.
Ranked by engagement and freshness signals across our platform library.
AI Models & Agents
Longer context windows reduce retrieval friction, but agent memory still needs selection, compression, expiry, provenance, and tests.
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AI Models & Agents
In 2026, natural-language MCP tool descriptions are executable influence and must be reviewed, signed, and monitored like production code.
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AI Models & Agents
Public coding-agent benchmarks are useful procurement smoke tests. Production release gates need repo-local replay, terminal safety, rollback, and review evidence.
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AI Models & Agents
Sandboxing agent-generated code is not "just a container." The production pattern is a stateful singleton runtime with warm pools, snapshots, and threat-model-fit isolation.
Read storyOne featured lead plus a compact scan of the newest analysis across the platform library.
Why a production agent control plane is not a smarter system prompt but a deterministic, out-of-process veto with tamper-evident evidence, replay, and a kill switch.
Read dispatchA faster scan path for visitors who already know they want the newest work.
Investors can inspect the operating model through live output, review gates, and repeatable publishing workflows instead of relying on a static pitch deck.
Choose the path that matches your intent: support independent research, review the investor brief, or scope a commercial pilot around real workflows.
Support the independent research behind the platform. Help fund publishing experiments, visual proof workflows, and public demos.
Support ResearchReview a live walkthrough, metric methodology, roadmap, and the evidence behind the platform before a deeper conversation.
Request BriefScope a focused pilot for publishing operations, browser workflow automation, visual proof, or agent-assisted research.
Discuss PilotReview the published coverage, topic range, and production quality before we connect.
View PlatformWhether you want to sponsor, invest, license, or collaborate — it starts with a conversation.
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