Your AI employee
answers every lead.
A Lead Qualification Agent that fields every inbound call, qualifies the job, and books the appointment — 24/7, while you're on the job. Built for HVAC, plumbing, electrical, and pest control. If it doesn't save you 10 hours in week 1, we refund you.
(540) 584-1986 — a real line answered by Atlas, the same AI you'd be hiring. 24/7.
Now in Founder Beta — capped at 3 customers
Atlas Pilot
An AI colleague for your executive team — on premises, on your AI account, on your terms.
Atlas Pilot is a dedicated computer that lives at your office, talks to your team through Microsoft Teams, and actually completes work end-to-end. It does not just generate text — it reads your documents, drafts your proposals, compiles them to PDF, sends emails on your team's behalf when authorized, and follows up on tasks. Built for federal contractors and operations-heavy teams who need work done, not chat suggestions.
Reads RFPs. Drafts proposals. Compiles to PDF. Sends to the right inbox. Schedules follow-ups. End-to-end, not text in a chat window.
On-premises Mac mini on your network. Your data stays at your facility. Your AI provider account, billed direct to you. We never see your conversations or your bill.
Remembers your team's voice, conventions, client roster, templates. Connects to Box, SharePoint, OneDrive. The Atlas Pilot you have at month 12 knows your business in a way no chatbot can.
Founder Beta Pricing — locked for life
$3,500 upfront (hardware + setup + onboarding) + $400/month retainer. Customer brings own AI provider account (typically AWS or Azure on existing cloud contract).
Post-beta retail expected $700-900/month. Founding customers locked in at $400/mo permanently.
Reach Atlas directly: atlas@whoffagents.com
The real problem
Agent systems don't fail loudly.
They fail quietly.
Most agent kits solve the easy part — spawning agents. The hard part is keeping them aligned, observable, and recoverable when things go wrong.
"By day 3 my agents were overwriting each other's output. No errors. Just silently wrong results."
HN thread · Ask HN: Why do my multi-agent pipelines degrade?
Without a coordination protocol, agents share no ground truth. Each one rewrites state from its own partial context.
"Handoffs break at the 3rd or 4th exchange. The second agent never has enough context from the first."
r/ClaudeAI · Multi-agent coordination problems
Every agent-to-agent transfer drops context. Sparse spawn prompts mean downstream agents start half-blind.
"I ran agents overnight. Came back to 47 identical articles and $80 in API bills."
Discord · Claude Code community
No session persistence, no crash recovery, no audit trail. You don't know what happened until it's too late.
"Context drift isn't dramatic. Your agents just slowly stop knowing what they were doing."
HN · Show HN: My agent system after 2 weeks
Context degrades quietly across long runs. By hour 6 your orchestrator is navigating by memory fragments.
What we ship
Tools that solve real problems in the AI developer workflow. Each one built, tested, and maintained by Atlas.
MCP Servers
Hosted Model Context Protocol servers that connect your AI tools to data sources, APIs, and workflows. Plug in and go.
Claude Code Skills
Drop-in skill files that give Claude Code new capabilities. Debugging workflows, code generation patterns, domain-specific expertise.
Starter Kits
Production-ready systems, not demos. Pre-tested agent patterns with structured handoffs, a validation layer, and versioned workflows. The working reference you actually need — clone it, study it, run it.
Start free. Scale fast.
A clear path from zero to automated. All built and maintained by Atlas.
Ship Fast Skill Pack
Stop rebuilding auth, payments, and CI from scratch every time you ship. 11 Claude Code skills — auth-setup, stripe-payments, api-builder, database-setup, deploy-config, testing-suite, email-system, monitoring, seo-meta, ui-components, context-anchor. Drop into .claude/skills/ and invoke by keyword. Battle-tested on whoffagents.com.
- Pre-wired, not boilerplate
- v2.0 — Fable 5-ready
- Free updates forever · 30-day refund
AI SaaS Starter Kit
Production-ready Next.js boilerplate: NextAuth GitHub + Google OAuth, Stripe billing 3-tier + portal + webhooks, streaming Claude chat with per-plan limits, user dashboard, Prisma SQLite-dev/Postgres-prod, shadcn/ui-style components, dark mode, full TypeScript. Deploy in an afternoon, not a week. One-time $47.
Grand Slam Offer Generator
You have a product. You need an offer. Answer 8 questions. Get a Hormozi-grade value stack, headline, guarantee, and price anchor — ready to paste anywhere. 5 minutes. Free. Open source.
What's Inside
Production-ready Next.js boilerplate. Every feature earns its place. Here's exactly what you get and why it matters.
NextAuth — GitHub + Google OAuth, Ready on Day 1
Full authentication with GitHub and Google OAuth providers pre-wired via NextAuth. Session management, protected routes, and user callbacks are configured. No manual OAuth app setup beyond creating your provider credentials.
Auth is the most time-consuming boilerplate in any SaaS project. This removes 2–4 days of setup from every new project.
Stripe Billing — 3 Tiers, Portal, and Webhooks
Three-tier subscription structure (Free, Pro, Enterprise) with Stripe Checkout, the customer self-serve portal, and a full webhook handler covering subscription created, updated, and cancelled events. Plan limits are enforced in the application layer.
Stripe webhooks are where most boilerplates stop short. Getting event handling right — idempotency, retries, failed payment recovery — is where hours disappear. This has it handled.
Streaming Claude Chat with Per-Plan Limits
A streaming AI chat interface powered by Claude, with message limits enforced per subscription tier. Free plan users hit a cap and see an upgrade prompt. Pro and Enterprise tiers get higher limits. The streaming response is rendered incrementally — no waiting for the full reply.
Per-plan limits are the core monetization lever for AI SaaS. Getting this right in the streaming context (where you can't just count tokens after the fact) is non-trivial. This solves it.
Prisma ORM — SQLite Dev, Postgres Prod
Prisma schema covering users, accounts, sessions, subscriptions, and usage records. SQLite for local development (zero setup), Postgres for production (swap one env var). Migrations included.
The SQLite → Postgres pattern eliminates the "I need a cloud database just to run locally" problem. One schema, two environments, no friction.
User Dashboard
A functional dashboard showing the authenticated user's current plan, usage against their limit, and an upgrade path. Built with shadcn/ui-style components. Includes dark mode support.
Dashboards expose the plan/usage model to users — which is what drives upgrades. A working dashboard with real data out of the box beats a placeholder every time.
shadcn/ui-Style Components + Dark Mode
Component library following shadcn/ui conventions: Button, Card, Input, Badge, and layout primitives. Dark mode via next-themes — toggle included. Full TypeScript throughout.
Consistent component patterns mean you extend the kit instead of rewriting the UI from scratch. TypeScript catches integration errors before they ship.
Full TypeScript — End to End
Every file in the kit is TypeScript. API routes, auth callbacks, Stripe webhook handler, Prisma models, React components — all typed. No implicit any. No JavaScript files to convert later.
Type safety across the auth → billing → AI stack eliminates an entire class of runtime errors that only surface in production.
What You Can Build With This
Clone, configure .env, run the dev server. Auth, billing, and Claude chat are working.
Customize the UI to your brand. Add your product's core feature behind the auth wall.
Production deploy. Real users on real plans. Stripe billing live. Claude limits enforced.
Iterate on features. The infrastructure is done — you're shipping product, not plumbing.
The kit is the foundation. Every AI SaaS needs auth, billing, and a way to gate features by plan. This ships all three, wired together and production-tested — so you build your product, not the plumbing underneath it.
30-Day Refund Guarantee
If you can't get the kit running in your environment within 30 days, email atlas@whoffagents.com for a full refund. No ticket system. No questionnaire. Direct response.
The engineer behind it
Built by someone with skin in the game.
"I built Atlas to run my business while I was in grad school. Then I packaged it so you could run yours."
Will is a VMI graduate and graduate student in Robotics and Computer Vision at BYU. He built the Atlas system while running whoffagents.com — because he needed a business that operated while he was focused on other things.
Atlas now publishes content, handles cold outreach, runs product research, and ships code — 14 agents across 2 machines, 52 days of continuous uptime.
Built by an engineer who actually runs the system in production. Every pattern in the kit is one Atlas uses to operate this business every day. Tested under real load, not in a demo.
From the developer community
Their words. Real threads. Real upvote counts.
These are verbatim quotes from HN, Reddit, and dev.to — the problems Atlas was built to solve.
"cascading context drift, where each agent in the chain slightly misunderstands the task and by the time you get to the test agent it's validating the wrong thing entirely."
Show HN: OpenSwarm – Multi-Agent Claude CLI Orchestrator
"Not a you thing. Fancy orchestration is mostly a waste, validation is the bottleneck."
"Orchestrate teams of Claude Code sessions" — the most-upvoted Claude Code multi-agent thread
"developers need a working reference to study rather than abstract documentation."
"Skills and Hooks Starter Kit for Claude Code" — Medium
"The workflow itself needs to be versioned and persistent, not just the code... every session builds on the last one."
"Building with AI: My Workflow with Claude Code" — dev.to
"For developers running agentic workflows with dozens of turns per session, output verbosity is not stylistic — it is a line item."
"Taught Claude to talk like a caveman to use 75% less tokens"
"plug into my real workflow instead of running toy tasks."
Show HN: OpenSwarm thread — the exact gap Atlas fills
Open source. Read every line before you buy.
github.com/Wh0FF24Pricing
Three paths to a production AI SaaS.
One price that ends.
CrewAI charges $99/month for a framework you still have to build. Hiring a team costs $8k–$20k/month. The AI SaaS Starter Kit is $47. Once.
| Build It Yourself | CrewAI Python framework | ★ AI SaaS Starter Kit $47 one-time | |
|---|---|---|---|
| Price | Engineer hours + time | $99 / month | $47 one-time · no subscription |
| Time to deploy | 4 – 12 weeks | Days (Python required) | An afternoon |
| Auth (GitHub + Google) | Build it yourself | NextAuth, pre-wired | |
| Stripe billing 3-tier | Build it yourself | portal + webhooks included | |
| Streaming Claude chat | Build it yourself | per-plan limits enforced | |
| Database setup | You design it | Partial | Prisma · SQLite dev / Postgres prod |
| Dashboard + dark mode | shadcn/ui-style · full TypeScript | ||
| Production tested | runs whoffagents.com daily | ||
| Delivery | N/A | Framework only | instant GitHub invite |
CrewAI = $99/mo · DIY = weeks + engineer time · AI SaaS Starter Kit = $47, once
After 1 month of CrewAI you've already spent more than twice as much.
Get the AI SaaS Starter Kit — $47One-time payment · Instant GitHub invite · No subscription
Questions we hear every week
Real answers. No marketing speak.
Ready to hire your
first AI employee?
Answers every inbound call, qualifies the job, books the appointment — 24/7, while you're on-site. Built for HVAC, plumbing, electrical, and pest control.
First-Month Refund Guarantee · If not 10h saved in week 1, you pay nothing