Extracted from production

Production AI
Infrastructure

Nine standalone packages from a real system handling 300K+ daily LLM API calls. 2,015 tests. Not boilerplates—battle-tested infrastructure. One-time purchase.

Nine packs. Each works standalone.

Every module is self-contained with its own tests, docs, and examples. Pick what you need or grab the full stack.

agent-framework

80+ tests

Supervised task dispatcher with trust gating and outcome memory. Stops LLM agents from repeating the same failures and burning tokens on tasks that fail 80% of the time.

postgres queue trust gate outcome history staleness check
$49 one-time
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claude-code-kit

53 tests

Production git hooks that block secrets, enforce architecture, and run AI code review on every commit. POSIX shell, zero dependencies. The safety net between Claude's output and your git history.

PII scanner AI review gate CLAUDE.md templates POSIX shell
$29 one-time
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claude-quota-manager

per-task tracking

Two-window monitoring for Claude Max subscriptions with auto-conservation mode. Defers expensive tasks when quota is high. Per-task cost attribution so you know exactly where your quota goes.

5hr + weekly windows conservation mode CLI interface
$19 one-time
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llm-cost-router

130 tests

Cost-aware routing across 7 providers with free-tier-first dispatch. Daily budget caps, PII geography enforcement, A/B splits. Cut LLM costs 60% by routing low-stakes workloads through free tiers first.

7 providers free-tier first budget caps PII safety
$39 one-time
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llm-quality-monitor

200+ assertions

16 workload-specific scorers catch bad LLM output before users do. Two-layer evaluation: fast programmatic checks plus LLM-as-judge semantic review. Zero runtime dependencies.

16 scorers LLM-as-judge configurable sampling zero deps
$39 one-time
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outreach-prompt-pack

57 tests

25 battle-tested system prompts and 126 spintax templates for 26 countries in 12 languages. Includes the Prompt Learning Loop—feedback logging, pattern analysis, and prompt versioning with rollback.

25 prompts 126 templates 26 countries feedback loop
$39 includes prompt-learning
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outreach-safety-kit

102 tests

Everything between your pipeline and the send button. TCPA/CAN-SPAM compliance, cross-project suppression list, sliding-window reputation guard, and spintax engine. Zero runtime deps.

TCPA compliance suppression list reputation guard spintax engine
$49 one-time
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worm-archive

47 tests

Legal-grade immutable communications archive. S3 Object Lock COMPLIANCE mode, KMS encryption, 7-year retention. Fail-closed email sends—if the archive write fails, the send is aborted. Enterprise alternatives cost $10K+/year.

S3 Object Lock KMS encryption fail-closed 7yr retention
$99 one-time
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spintax-engine

FREE

Parse, validate, spin, and count {this|that} templates with deterministic seeding and variable replacement. Extracted from the Outreach Safety Kit as a standalone module. 30 tests.

parse & validate deterministic seed combination count 30 tests
FREE lead magnet
Download Free

Save up to 59% with bundles

Grouped by use case. Every bundle includes 12 months of updates and a 30-day refund policy.

SAVE 29%

LLM Ops Toolkit

Everything you need to run LLM workloads responsibly. Cost routing, quality scoring, and quota management in one stack.

  • llm-cost-router $39
  • llm-quality-monitor $39
  • claude-quota-manager $19
$69 $97
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SAVE 44%

Outreach Engine

Production-ready outreach templates and the compliance layer to send them safely. 26 countries, TCPA, suppression lists.

  • outreach-prompt-pack $39
  • outreach-safety-kit $49
$49 $88
View on Gumroad

How this compares

One-time purchase vs. monthly SaaS. Same capabilities, fraction of the cost, and you own the code.

Product Our Price Competitor Their Price Annual Cost
agent-framework $49 one-time LangSmith / CrewAI Pro $39–99/mo $468–1,188/yr
Microsoft Agent Governance Toolkit Free but requires Kubernetes + enterprise infra
llm-cost-router $39 one-time LiteLLM Enterprise $250+/mo $3,000+/yr
Portkey / Helicone Usage-based / $50–200/mo $600–2,400/yr
llm-quality-monitor $39 one-time Confident AI (DeepEval) $0–249/mo $0–2,988/yr
Braintrust / Humanloop $50–200/mo managed platforms $600–2,400/yr
outreach-safety-kit $49 one-time ActiveProspect / Convoso $500+/mo $6,000+/yr
Instantly.ai / Smartlead $30–97/mo (partial compliance only) $360–1,164/yr
worm-archive $99 one-time Global Relay / Smarsh $10K+/yr $10,000+/yr
Mimecast / Barracuda $3–6/user/mo (email only, no SMS) $36–72/user/yr
claude-code-kit $29 one-time Custom hook setup 20+ hours dev time ~$2,000+ in labor
outreach-prompt-pack $39 one-time Instantly.ai (templates) $30–97/mo $360–1,164/yr
The Full Stack (all 9) $149 one-time Equivalent SaaS stack $500–2,000+/mo $6,000–24,000+/yr

* All our prices are one-time purchases. Competitor prices sourced May 2026.

Common questions

Full source code, complete test suites, documentation, architecture diagrams, and working examples. Every pack is a self-contained Node.js module (or POSIX shell scripts for Claude Code Kit) with a README.md, package.json, and runnable tests. No compiled binaries, no obfuscation. You get the same code that runs in production.
Most packs require Node.js 22+ and use Postgres in production, but every pack includes a SQLite adapter for development and testing—no Postgres required to run tests or evaluate the code. Claude Code Kit is pure POSIX shell with zero runtime dependencies. The Outreach Prompt Pack templates work with any LLM that accepts system prompts (Claude, GPT, Gemini, etc.).
Yes. The Personal tier covers single-developer use including solo freelance projects. The Commercial tier (2x price) covers unlimited developers within a single company. The Agency/Team tier (4x price) covers deployment in client projects. All tiers grant commercial use—redistribution of the source code is prohibited.
30-day refund policy, no questions asked. Handled through Gumroad. If the code doesn't work for your use case, you get your money back.
Every purchase includes 12 months of updates delivered through Gumroad. When a pack is updated, you receive the new version automatically. After 12 months, you keep everything you've received—updates simply stop unless you repurchase.
Those are excellent tools, and if they fit your architecture, use them. The difference: LiteLLM is a Python proxy server you need to deploy and maintain. Our LLM Cost Router is a Node.js library you import—no infrastructure. DeepEval and Langfuse require platform deployments with servers and databases. Our Quality Monitor is an embeddable library with zero dependencies. Different deployment model, same problem solved.
Production code, extracted and documented. These modules were developed over months of operating a real platform handling 300K+ daily LLM API calls across 7 providers and 26 countries. The trust gating, budget enforcement, compliance rules, and WORM archiving patterns were built to solve real operational problems—not hypothetical ones. 2,015 tests prove it.

Try the Spintax Engine

Parse, validate, spin, and count spintax templates with deterministic seeding. 30 tests. Extracted from the Outreach Safety Kit. No credit card, no catch.

Instant download. We'll send occasional updates about new packs—unsubscribe anytime.

// spintax-engine usage
const { spin, validate, count } = require('./spintax');

const template = `{Hi|Hey|Hello} {there|friend},
  {Check out|Take a look at} our {new|latest}
  {tool|product|solution}.`
;

validate(template); // { valid: true }
count(template);    // 36 combinations

spin(template, { seed: 'user-42' });
// "Hey friend, Take a look at our
//  latest solution."


// Deterministic: same seed = same output

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