NetShow
Research Brief

01

At a Glance

02

Executive Summary

The AI market is shifting from assistants that answer to agents that execute. Execution means completing real work across tools and environments—web, voice, messaging, calendar, email, documents, payments—backed by durable memory, predictable costs, and proof of completion. NetShow's AEI and IQ1 stack are built to operationalize that shift at consumer, SMB, and enterprise scale.

KEY MARKET SIGNALS

• Voice-first is becoming the default UI. Users want hands-free, natural interaction that triggers real work without navigating apps.
• Agents must be proactive, not reactive. The value is an always-on teammate that learns your scope, anticipates follow-ups, runs check-ins, and closes loops.
• Trust is the gating factor. Agentic value scales only with strong boundaries, traceability, and governance.

03

Governed RSI

How NetShow compounds safely

Recursive self-improvement (RSI) is designed into the product loop: each interaction produces better context, better plans, and more reliable execution—while you stay in control through permissions, policies, receipts, and audit trails.

RSI MECHANISMS + GUARDRAILS

"NetShow agents get smarter as you use them—intelligence assistance keeps going up."

TRUSTWORTHY AGENTS NOW

• Human-in-control: Clear approvals; easy override and escalation.
• Receipts, not vibes: Proof of what happened, changed, and remains open.
• Least privilege: Minimum tools and scopes needed for the job.
• Proactive closure: Follow up until finished, not just until replied.
• Predictable cost: Spend caps prevent loops; quality gates prevent flakiness.

04

Framework Snapshot

Configurable layers

05

Why the Agentic Wave Is Real

Multiple signals are converging: better model tool-use, user readiness to delegate, and increased attention to security. Products will be judged on outcome reliability, not conversation quality.

06

Virtual + Embodied Agents

One brain, many bodies

VIRTUAL AGENTS (IQ1-V)

NetShow builds long-lived virtual agents that operate as an AI-native execution layer across phone, email, calendar, CRM, docs, websites, and back-office tools. Not a chatbot—a system that turns plain-English intent into completed work with guardrails and proof.

A NetShow virtual agent can take a goal (launch an offer, follow up leads, reconcile ops, schedule, publish, support customers), break it into steps, call the right tools, and return receipts: what it did, where it did it, what changed, and what to do next.

EMBODIED AGENTS (IQ1-E)

NetShow extends that same intelligence into embodied agents—quad dogs, drones, bots, androids, and humanoids—so the agent can act in the physical world with the same safety posture it has in software.

Embodied agents add perception and movement (vision, navigation, manipulation, teleoperation fallback), but still operate under progressive autonomy: start supervised, graduate with approvals for higher-impact actions, maintain least privilege, separation of duties, and escalation paths for safety-critical situations.

THE UNIFIED CONTINUUM

The end state is a unified bio → virtual → embodied continuum: one agent relationship that runs your digital life, assists your household or business, and safely carries tasks from screens into reality—improving continuously, but always staying inside policies, permissions, and audit trails.

From phone to humanoid—same brain, same mission.
Your goals don't live in apps—your agent does.

07

Viral Proof + Trust

Consumers want "say-it-and-it-gets-done" agents

A self-hosted personal-agent wave proved the market signal: users are ready to delegate outcomes. NetShow delivers Jarvis—but real and now—with memory, proactivity, multi-tool integration, privacy, and ease-of-use.

EXECUTION SURFACES

TRUST PRIMITIVES

RISK MITIGATION

• Prompt injection: Safety Ops Guardian; scoped permissions; approval gates.
• Data exposure: Per-surface permissions; artifact outputs; masked context.
• Runaway costs: FinOps Sentinel: route-by-complexity, spend caps, alerts.
• Hallucinated actions: "Prove it's done" receipts; agent-to-agent validators.
• Compliance gaps: Governed teams; audit logs; policy packs; escalation.

08

Use Case Map

Consumer → SMB → Enterprise → Embodied

Same core orchestration and guardrails—packaged by audience. RSI compounds value across every tier.

PACK EXAMPLES (REPEATABLE AGENT TEAMS)

Packs improve over time via replayable traces, receipts, and agent-to-agent quality gates.

09

Viral Messaging Hooks

The viral loop: "Say it, and it gets done." Lead with outcomes, then guardrails, then compounding RSI.

ONE-LINERS (DROP-IN COPY)

10

The Vision

FOUNDER & LONG-HORIZON CONVICTION

NetShow is led by Michael Evingham, who has been building toward the "computer-as-assistant" future for decades. The core conviction—natural language (especially voice) becomes the primary interface for software and real-world operations—was formed long before "agentic" became industry shorthand. In Michael's view, the question was never if assistants would happen, but when the underlying compute and interfaces would finally make dependable, action-taking systems possible.

Beginning in 1991, Michael adopted Microsoft Video for Windows and the Viewer Publishing Toolkit on Windows 3.1 before they were publicly released. Using one of the first Sony CD-ROM burners, he built interactive media and early consumer software—CD-ROM experiences for the movie and game industries, then the web experiences that followed as the internet matured. Through the 1990s, he worked across consumer and business needs: UI/UX-driven systems, interactive online experiences, and early broadcast-style distribution.

That period included operating Pure Broadcasting Network—a streaming distribution effort featuring the Pure Caster, a Java-based broadcasting tool (no plug-in needed) listed on TUCOWS. Projects spanned commerce and media organizations (QVC, Shop at Home), brand initiatives (AM General Hummer), and CD-ROM/website deployments for churches and radio stations. The through-line across all of it was consistent: computers were becoming more powerful and more helpful, and the next leap would be assistance that could understand intent, connect to systems, and take action.

Michael's conviction was reinforced not as a trend-following posture, but as a lived product arc—watching interfaces evolve from offline interactive media to online distribution to connected systems. By the late 1990s, he became convinced automation agents were inevitable; the only question was timing, trust, and control.

In 2019, Michael and NetShow presented on the TechCrunch Disrupt Showcase Stage in San Francisco, discussing AI assistant "filters" for data integrations and the bridge between IoT and AI—so assistants could interpret device signals, orchestrate connected services, and automate real-world actions.

In late 2022, as foundation models made reliable reasoning and action-taking feasible at consumer and business scale, NetShow shifted into intensive engineering—putting code down and building the IQ1 stack. The company's focus is execution with governance: agents that improve over time, but remain inside guardrails—permissions, policies, receipts, and audit trails—so users stay in control as autonomy increases.

That long-horizon pattern recognition—paired with today's foundation-model inflection—positions NetShow to lead the shift from "AI that answers" to governed AI teammates that execute and compound value over time: virtual agents today, embodied agents next, delivered to consumers worldwide for the decades ahead.

11

Mission & Contact

LONG-HORIZON DIFFERENTIATOR

• Your NetShow teammate gets smarter without expanding permissions behind your back.
• Approvals, logs, and safe defaults keep you in control as the agent improves.
• Replayable traces and rollback make improvements reviewable and reversible.
• Embodied deployments add incident logs, escalation paths, and teleoperation fallback.

Note: This brief is provided for informational purposes and reflects NetShow's current product direction.