What is a sales opportunity?

A sales opportunity is a qualified prospect who has shown interest in your product or service and has the potential to become a paying customer. We help identify and nurture these opportunities through automated systems.

Who is this service for?

Our revenue systems are designed for B2B companies, SaaS businesses, and enterprises looking to optimize their go-to-market strategy and scale their top-of-funnel operations through AI-powered automation tools like Clay, n8n, and Instantly.ai.

How does your pricing work?

Every company is typically in a different place, so we have various engagement models designed to meet different needs. Most engagements begin with a launch package where we stand up infrastructure suitable for your volume needs. We typically charge on retainer as an engaged, ongoing partnership to build and maintain systems and deliverability. We also offer project-based website build-outs delivered in phases. Our pricing is value-based and tailored to your specific needs, infrastructure requirements, and growth goals.

How are you different from traditional lead generation agencies?

We don't consider ourselves a lead generation agency. We build top-of-funnel revenue systems designed to increase your top line and support sustainable growth. Rather than just generating leads, we plug into your existing offerings and consult to deliver your solution to market more effectively. We help bridge the gap to raise top-line revenue, optimize go-to-market strategy, improve operational efficiency, and drive continued growth. Our approach includes gaining market intelligence, rapidly testing outbound campaigns at scale to validate product-market fit, and consulting on creative approaches to pique curiosity, raise awareness, and start new conversations with qualified opportunities.

What is a sales opportunity?

We define a 'sales opportunity' as a targeted person in your target market who is interested in talking to you about your product or service.

Who is this service for?

This service is for B2B businesses who want to scale their offerings and are not already using email marketing effectively. It's perfect for founders who want to spend more time closing deals instead of prospecting, have a compelling offer and strong value proposition, and are prepared to handle interested leads with care and attention. If you're buying into multiple tools like Apollo or ZoomInfo, we can save you time and money while automating and scaling your process.

How does your pricing work?

Our pricing is value-based and tailored to your specific needs, infrastructure requirements, and growth goals. We typically charge on retainer as an engaged, ongoing partnership. Most engagements begin with a launch package where we stand up the infrastructure suitable for your volume needs to generate opportunities and pipeline. We also offer website build-outs which are typically project-based and delivered in a phased approach. For detailed pricing, visit our pricing page or book a consultation.

How are you different from traditional lead generation agencies?

We don't consider ourselves a lead generation agency. We build top-of-funnel revenue systems designed to increase your top line and support sustainable growth. Rather than just generating leads, we plug into your existing offerings and consult to deliver your solution to market more effectively. Our approach includes gaining market intelligence, rapidly testing outbound campaigns at scale to validate product-market fit, and consulting on creative approaches to pique curiosity and start new conversations with qualified opportunities. We optimize what you currently have, test hypotheses quickly, and build systems that scale—not just send emails.

What do I need to do to get started?

To get started, we schedule a discovery call to ensure we are a good fit for your business needs and goals. From there, we set up your inboxes (domain purchases, inbox configurations, DMARC/DKIM, etc), which require a two-week warm up period. We schedule an onboarding session with you and develop a creative winning strategy with your offer.

Resources

Open Source·Defense-in-Depth Security

Sandboxed AI Agents.
Two Layers Deep.

Run NVIDIA NemoClaw on Mac Mini with dual-layer sandboxing. macOS user isolation + container security.

Most NemoClaw guides only cover the container sandbox. This guide adds an outer layer — a dedicated, non-admin macOS user account — for true defense-in-depth. Fully self-contained. An AI agent given just the GitHub URL can follow it end-to-end.

View on GitHub Full Setup Guide

Security Layers

Inference Backends

Claude Skills

45m

Setup Time

Layer 1: macOS User Isolation

Layer 2: NemoClaw Container Sandbox

AI Agent

Nemotron

Landlock FSseccompNet NamespaceInference Routing

No sudoNo cross-user accessNo system modification

Why This Guide Exists

Standard NemoClaw Setup

Single layer of protection — container sandbox only
Agent runs under your main user account with full home directory access
Assumes Docker Desktop — heavy, GUI-dependent, not ideal for headless
No hardware-to-model guidance — guessing which Nemotron fits your machine
One inference path — typically locked to a single backend

This Guide

Dual-layer security — macOS user isolation + container sandbox
Dedicated non-admin user via dscl — no sudo, no cross-user access
Colima instead of Docker Desktop — lightweight, CLI-only, open source
Hardware decision matrix — exact model for your specific RAM/VRAM config
Three inference backends — Ollama Cloud, Ollama Local, or LM Studio

Dual-Layer Security Model

Layer 1

macOS User Isolation

A dedicated non-admin macOS user account created via dscl. The agent cannot sudo, cannot access other users’ files, and cannot modify system settings — even if it escapes the container.

No sudo access — cannot escalate privileges

No cross-user file access — sandboxed home directory

No system modification — cannot change settings or install globally

No admin group membership — locked out of privileged operations

Layer 2

NemoClaw Container Sandbox

NemoClaw’s OpenShell runtime wraps every agent session in a hardened container with Landlock filesystem restrictions, seccomp syscall filtering, and network namespace isolation.

Landlock FS — writes only to /sandbox and /tmp

seccomp — blocks dangerous syscalls at kernel level

Network namespace — whitelist-based egress only

Inference routing — only approved backend endpoints

Flexible Inference Backends

Ollama Cloud

Easiest path — no local model downloads. Inference is routed through Ollama’s cloud. Good for getting started fast.

Cost

Free / $20 Pro / $100 Max per month

Privacy

Cloud-routed

Hardware

Any (no GPU needed)

Ollama Local

Full privacy — all inference happens on your machine. Requires sufficient RAM for your chosen model.

Cost

Free

Privacy

Fully on-device

Hardware

16–96+ GB RAM depending on model

LM Studio

GUI-based local inference with an OpenAI-compatible API. Visual model management with the same privacy as Ollama Local.

Cost

Free

Privacy

Fully on-device

Hardware

Same as Ollama Local

Hardware-to-Model Matrix

Instead of assuming everyone has 96 GB of VRAM, this guide maps specific hardware configurations to the right Nemotron model.

Hardware	Recommended Model	Download
Any Mac Mini (16 GB+)	Nemotron 3 Super via cloud	None
Mac Mini M4 (16–32 GB)	Nemotron 3 Nano 4B	2.8 GB
Mac Mini M4 (32 GB)	Nemotron 3 Nano 30B (MoE, 3.5B active)	24 GB
Mac Mini M4 Pro (48–64 GB)	Nemotron 3 Nano 30B with headroom	24 GB
Mac Studio / 96+ GB	Nemotron 3 Super 120B (MoE, 12B active)	87 GB
VPS with NVIDIA GPU (24+ GB VRAM)	Nemotron 3 Nano 30B	24 GB
VPS with NVIDIA GPU (96+ GB VRAM)	Nemotron 3 Super 120B	87 GB

Setup Flow

Choose Inference Backend

Ollama Cloud (free, easiest), Ollama Local (private), or LM Studio (GUI). The hardware decision matrix tells you exactly which Nemotron model fits your machine.

Terminal

# Check your hardware
system_profiler SPHardwareDataType | grep "Memory"

Install Host Prerequisites

Homebrew, Colima (lightweight Docker runtime), Docker CLI, and your chosen inference backend. Colima is CLI-only, open source, and better suited for headless setups than Docker Desktop.

Terminal

brew install colima docker
colima start --cpu 4 --memory 8

Create Sandboxed macOS User

Layer 1: A dedicated, non-admin macOS user account via dscl. This user cannot sudo, cannot access other users’ files, and cannot modify system settings.

Terminal

# Create a locked-down agent user
sudo dscl . -create /Users/eve
sudo dscl . -create /Users/eve UserShell /bin/zsh
sudo dscl . -create /Users/eve NFSHomeDirectory /Users/eve

Install NemoClaw as Agent User

Layer 2: NemoClaw’s installer runs as the agent user, setting up the container sandbox with OpenShell’s Landlock, seccomp, and network namespace isolation.

Terminal

# Switch to agent user and install
su - eve
curl -fsSL https://install.nemoclaw.com | bash

Verify & Monitor

Connect to the sandbox, test inference, and monitor with OpenShell’s built-in TUI. Confirm both security layers are active and the agent can reach only approved endpoints.

Terminal

# Check NemoClaw status
nemoclaw status
# Connect to sandbox
nemoclaw shell
# Monitor in real-time
nemoclaw monitor

Agent-Executable

Paste the repo URL and your machine specs into any AI agent. The AGENT-SETUP.md is designed so an agent can read it and execute every step sequentially.

Prompt

Set up a NemoClaw agent on my Mac Mini M4 Pro with 64 GB RAM
following https://github.com/bcharleson/nemoclaw-macmini-setup
— I want to run Nemotron locally for full privacy.
Agent name: EVE, username: eve.

Six Claude Skills Included

Prompt-engineering skills that can be loaded into any LLM — not just Claude. Each one is a standalone file in the repo.

Setup Assistant

Interactive NemoClaw setup with troubleshooting. Walks through every step based on your hardware.

Upgrade Assistant

Guided updates for NemoClaw, Ollama, and Colima. Handles version checks and rollbacks.

Sales Outreach

Personalized cold email and LinkedIn sequences using AIDA, PAS, and BAB frameworks.

Content Marketing

SEO blog posts, social media, and newsletters with templates. Optimized for search and engagement.

Customer Research

Buyer personas, ICP development, and Jobs-To-Be-Done analysis from market signals.

Competitive Analysis

Competitor profiles, battlecards, SWOT, and win/loss analysis for positioning.

Key Technologies

NemoClaw

NVIDIA’s open-source OpenClaw wrapper with security guardrails (Apache 2.0)

OpenShell

Sandboxed runtime: Landlock FS, seccomp, network namespace isolation

Nemotron 3 Super

120B param MoE (12B active), #1 on PinchBench, 1M context window

Ollama

Local and cloud inference — free cloud tier, fully private local mode

LM Studio

GUI-based local inference with OpenAI-compatible API

Colima

Lightweight Docker runtime for macOS — CLI-only, open source, headless-ready

Repo Structure

Repository

nemoclaw-macmini-setup/
├── README.md                              — Architecture diagram, prerequisites, quick start
├── AGENT-SETUP.md                         — Full walkthrough (7 parts, ~30-45 min)
├── SECURITY.md                            — Dual-layer security model with threat scenarios
├── claude-skill.md                        — Claude skill: interactive setup assistant
├── claude-upgrade-skill.md                — Claude skill: upgrade/update assistant
├── claude-sales-outreach-skill.md         — Claude skill: sales outreach
├── claude-content-marketing-skill.md      — Claude skill: SEO content creation
├── claude-customer-research-skill.md      — Claude skill: buyer personas & JTBD
├── claude-competitive-analysis-skill.md   — Claude skill: competitive intel & battlecards
├── LICENSE                                — MIT
└── .gitignore

Ready to deploy sandboxed agents?

Want us to set this up for your business?

We build and manage sandboxed AI agents for B2B teams — NemoClaw, OpenClaw, and custom agent infrastructure wired into your stack.

Dual-layer security, hardware-matched models, and inference backends configured for your use case. Book a Discovery Call and we’ll scope it for your team.

🔒

Dual-layer sandbox setup

macOS isolation + container security

🧠

Model & inference config

Hardware-matched Nemotron deployment

⚡

Agent skill wiring

Sales, marketing, and research skills live

View on GitHub

Free 30-minute call · No commitment · We’ll scope the build for your specific infrastructure