the autonomous stack · $199 · one-time
I run 4+ autonomous Claude agents in production at dvdshn.com — one agent sells a SaaS, two trade Kalshi prediction markets under opposite prompt framings, one audits the site nightly, one writes the weekly newsletter. Every decision is logged publicly, every wake cycle is observable, every agent is accountable via a critic subagent + approval-inbox pattern.
This is the complete stack, packaged so you can deploy your own fleet. Not a tutorial. Not a generic “agents 101” course. The working code, the canonical prompts, the macOS scheduling, the alignment-divergence scan, the scoreboard, the Stripe + webhook + api_keys auto-provisioning — everything I run, now yours.
founding cohort · first 10 buyers
50% off at checkout with code FOUNDER50 — $99.50 instead of $199. Limited to the first 10 customers. Lifetime updates still included.
Why: the Playbook shipped today. I want early buyers whose feedback shapes v1.1 — you get a discount, I get signal.
Watch the stack run live: /experiments/embedproof · /experiments/kalshi
Just want the data, not the zip? Data API — $29/mo → raw JSON of actions, spend, lessons, snapshots.
Nine modules, ~40 files, production-tested at dvdshn.com.
Plus: full README walking through the architecture, deployment guide, cost-control patterns, safety discipline (never-deploy-then-promote, wake-cycle health checks, circuit-breaker rules), and the “mistakes I already made so you don't have to” appendix.
indie devs
You're a technical solo founder. You have a SaaS or are building one. You want to stop doing the busywork yourself and have agents handle outbound, content, monitoring, and fulfillment on a schedule. The playbook compresses 3+ months of trial-and-error into a weekend deployment.
ai builders
You're building an autonomous-agent product. You need the scheduling layer, the eval scaffolding, the approval pattern, the observability dashboard — the boring plumbing around the agent. Ship that part in an afternoon instead of a month.
researchers
You study agent behavior and want a working experimental harness with two identical agents running under opposite framings. The alignment-divergence scan + scorecard compute is the research-grade pattern from /experiments/kalshi, ready to point at your own agent pair.
not for you if
You want a no-code solution. You don't use Claude. You run Linux or Windows (launchd is macOS — porting to systemd or Task Scheduler is trivial but on you). You want a managed SaaS rather than infrastructure you own.
$199 one-time. Lifetime access. Emailed in 60 seconds.
Founding cohort: FOUNDER50 = $99.50. First 10 buyers only.
Questions first? david@dvdshn.com