The operator’s kit — prompt packs, context files, reliability harnesses and agent systems, distilled from real autonomous-agent work. Buy once, download instantly. No SaaS strings, no per-seat invoice.
Each delivered as a prompt pack, a context file, or a runnable system. Free tools download instantly — paid tools unlock on purchase. Locked tools are in active development.
16 ways an autonomous agent fails without ever throwing an error — the run finishes green, the logs look clean, and the work is wrong. Each pattern: symptom, reality, why it hides, the one check to run.
20 prompts for authorized security work — recon triage, OWASP Top-10 review, and reporting. No exploit payloads; built for the workflow around a test, not the attack.
Route every task to the cheapest model that can do it well — local for grunt work, a cheap API for bulk, a frontier model only for the hard parts. Typical effect: 60–75% lower AI spend.
17 prompts for the actual ML workflow — dataset sanity, eval design, training-run triage, ablations, and the “are you fooling yourself” checks. Built from real model work, not marketing copy.
An annotated CLAUDE.md you drop in your project root so Claude Code / Cursor stop making you re-explain the project every session. Fill 5 lines, delete the rest.
Five role-tuned CLAUDE.md files — founder, engineer, security, ML, ops. Drop the one that matches today's work in your project root; combine two when you switch hats mid-build.
10 prompt patterns that materially change LLM output — each with a template, a real before/after, and a note on when to reach for it. The last section shows how to stack them.
Drop-in detectors + verification harness that catch the 16 silent-failure patterns your agent keeps shipping. Provider-agnostic, dependency-free, integrates into an agent you didn't write in under 30 minutes.
Self-hosted scraping that replaces an ₹6k–12k/mo SaaS bill. Multi-source collectors on a ReAct-style agent loop, anti-throttle backoff, standard JSON output.
Autonomous defensive security agent — four modes (lab pentest assist, OWASP Top-10 code audit, passive OSINT recon, manual-testing assistant) that produce a PDF report. Authorized / defensive use only.
A self-evolving operator system — the ORIENT→VERIFY→EVOLVE loop, memory/bookkeeping modules, a parallel verify/judge engine, and a PM2 runtime. The scaffolding behind an agent that runs unattended.
Hybrid ML + parallel-search scaffolding — MPI distribution across workers, a model-guided search loop, top-N ranked prediction, and real-data discipline. For multi-worker / multi-GPU search at scale.
Every tool on the store — free and paid, present and future. The complete operator kit: every prompt pack, context file, reliability harness, agent and operator system, plus everything added next.
45-minute call with a Ninja AI operator. Bring one agent stack to architect or one reliability problem to dissect — leave with a recorded walkthrough and a prioritized 3-step action plan.