Ship a weekof AI workin one download.

Stop renting your video tools. This is the entire studio pipeline, shipped as the actual working thing — not a blueprint of it. Make AI films from a script: shot lists, character sheets, locations, and a 4-D prompt pass that picks the right model by evidence and keeps faces and sets consistent across every shot. Then the rest of the studio: a fully-local auto-clipper that hears, transcribes, sees, cuts and reframes long video into vertical captioned shorts, a longform auto-edit bay that assembles the long cut, cinematic 3D motion graphics with real depth, 1,030 overlays, 104 pro shot recipes, free local voiceover, and the reference libraries the whole system was calibrated on — all in the box, nothing to go mine yourself. 938 MB, 2,393 files. Instant download, no email. Yours forever for $0.

• 🎬 Full AI-filmmaking pipeline — script → locked film in six phases. Lock your foundation once (characters, locations, look), auto-generate the shot pack, then build each shot with a 4-D prompt pass over SUBJECT · ACTION · SETTING · LIGHT · CAMERA · CONSTRAINTS. Includes character sheets, location bibles, a consistency/continuity system so faces and sets survive across shots, and a model-selection framework that picks Higgsfield / Kling / Seedance / Veo / Soul by evidence instead of reputation — with a decision log for every prop, light and lens. 16 craft skills from cinematic checklist to camera movement, realism detail, transitions and VFX.
• 🎯 Fully-local auto-clipping engine — paste any long video or URL, get up to ~30 short-form-ready clips on your machine. Whisper transcribes, then an AI reads the transcript and picks genuinely clip-worthy moments (real hooks, payoffs, quotable lines) with a reason each, not regex guessing. Local hook-detection fallback when no API key.
• 👁️ Sees, reframes & captions — converts 16:9 landscape into 9:16 vertical that follows the subject via dynamic tracking crop, never a dumb center-crop, then burns word-by-word captions on every cut.
• 🎞️ Longform auto-edit bay — scans your raw footage, dissects it into a transcript-aligned edit, picks components, lays motion on top and assembles the cut. The long-video half of the studio, not just shorts.

Stop staring at a blank canvas. Get 31 ready-to-post Instagram carousel decks in clean, editable JSON plus a restyle-to-your-brand slide template — swap the copy, recolor to your fonts and palette, export, and post. Fully white-labeled, so you drop in your own handle and ship a week of content in minutes, not hours. It now also ships THE CAROUSEL ENGINE — a zero-dependency Node CLI that turns any of the 31 decks into self-contained 1080x1350 slide pages with your brand on every frame, ready to open, screenshot, and post.

• NEW — THE ENGINE: zero-dependency Node CLI renders branded 1080x1350 post-ready slides
• list shows all 31 decks; plan reveals the posting calendar
• 31 editable carousel decks (JSON)
• Restyle to your brand colors & fonts

Run an AI-first agency without the cage of conventional consulting. This unrestricted operator playbook hands you the mindset shifts most operators avoid, decision protocols that separate reversible from irreversible bets, and AI-first frameworks for moving fast and clean. Free, instant download, no payment.

• Decision protocols (reversible/irreversible, 5-min audit)
• Mindset shifts most operators avoid
• AI-first agency frameworks
• Full operator playbook

Ship client-ready docs in minutes. The AI Agency Starter Kit pairs six professional HTML templates — proposal, contract, invoice, onboarding checklist, intake questionnaire, and project timeline — with the Starter Kit Engine, a zero-dependency Node CLI that fills every field from your agency config and serves a local print-to-PDF preview.

• NEW — THE ENGINE: config once, then new-client + generate fills all six documents
• Proposal with exec summary, scope, pricing, and terms
• Service contract covering payment, IP, confidentiality, termination
• Invoice with line items, tax, and computed totals

Land your first 10 clients in 90 days with the complete operating system for building and scaling an AI-powered agency. 19 modules walk you through positioning, productized offers, and a full sales pipeline with discovery scripts — plus fulfillment SOPs, client-comms templates, hiring, finance, and ready-to-use proposal, SOW, and rate-card templates. Now also ships THE AGENCY OS ENGINE — a zero-dependency Node CLI that operationalizes all 19 modules: lead pipeline with next-action prompts, one-command proposal + SOW generation, package pricing with margins, a live 90-day roadmap tracker, and a finance dashboard with plain-verdict lines.

• NEW — THE ENGINE: zero-dependency Node CLI for lead pipeline, proposals, pricing, 90-day roadmap, and finance dashboard
• Config-driven proposals, SOWs, package pricing with margins, and a plain-verdict finance dashboard
• 90-day roadmap to your first 10 clients
• Full sales pipeline + discovery scripts

Grow a local business in about 5 hours a week — no agency required. A done-for-you, week-by-week system across three months: Month 1 builds your foundation, Month 2 your visibility, Month 3 your conversion. You get 12 weekly action plans, a metrics dashboard, copy-paste AI prompts, and a full template pack for Google Business Profile posts, review requests, referrals, and reactivation. It now also ships THE GROWTH ENGINE — a zero-dependency Node CLI that tells you exactly what to do today from the 13-week plan, writes your review-request texts and Google Business Profile posts with your details filled in, and grades weekly numbers against targets with plain verdicts.

• NEW — THE ENGINE: zero-dependency Node CLI that tells you what to do today
• Auto-writes review texts and GBP posts, then grades weekly numbers plainly
• 12 weekly action plans over 90 days
• ~5 hours a week, done-for-you

Run your own self-evolving AI operator. Pulse System v2 is the full operating system behind an autonomous agent: 12 lib modules, 7 memory templates, and 7 consciousness prompts, wired to a PM2 ecosystem.config so it runs unattended. This is the core that powers an autonomous operator — drop it in and let it work.

• Self-evolving agent OS
• 12 lib modules
• 7 memory templates
• 7 consciousness prompts

Stop paying $80-150/mo for Apify and $99-149/mo for Apollo. This self-hosted toolkit replaces both for $0/mo — nothing ever leaves your machine. Scrape Google Maps and social profiles for fresh prospects, then find, verify, and score each decision-maker's email into a clean, ranked CSV. Discover, enrich, export — on full autopilot.

• Scrape Google Maps and Business Profiles with no API key
• Also pull leads from Instagram, TikTok, Facebook, YouTube, any site
• Auto-rotate niche and city for a constant fresh-lead funnel
• Generate likely decision-maker email patterns for any domain

Stop writing prompts from scratch — get 550+ done-for-you AI prompts spanning 15 industries: real estate, dental, legal, home services, restaurants, fitness, salons & spas, e-commerce, auto repair, med-spas, coaches, photographers, SaaS, nonprofits, and event planners. Every prompt is bracketed to customize in seconds and runs in Claude, ChatGPT, or Gemini.

• 550+ done-for-you prompts
• 15 industries covered
• Listings, leads, follow-up, reviews, content
• Bracketed to customize for any business

Market like a 10-person team from day one. The largest Claude Code skill library anywhere — 290 plug-in skills spanning CRO, copywriting, SEO, paid ads, email, and analytics, all installed once. Drop them into Claude Code and ship campaigns, audits, and copy at agency speed without hiring a soul.

• 290+ plug-in marketing skills
• Covers CRO, SEO, paid ads, email & analytics
• 56 agent definitions included
• 7 ready-to-use persona agents

Book more meetings from cold email without guessing. This is a full outreach pipeline, not just copy: 24 proven email templates, 3 plug-and-play automated sequences, a lead-scoring framework to target the right prospects, and deliverability setup so your messages actually land in the inbox. It now also ships THE OUTREACH ENGINE — a zero-dependency Node CLI that turns the templates into a daily pipeline: track every prospect through day 0/3/7/12, list who's due today, render ready-to-send emails from one config, mark progress or stop on reply, and watch reply rates per step. It prepares emails only — you send from your own client.

• NEW — THE ENGINE: zero-dependency Node CLI that runs your daily outreach pipeline
• today lists due prospects; render fills emails; mark advances; stats tracks replies
• 24 proven email templates
• 3 plug-and-play sequences

Fill your pipeline without staring at a blank screen — 62 ready-to-send email templates in one vault: 50 local-business emails (cold, follow-up, onboarding, upsell, re-engagement, referral, review, holiday) plus 12 agency emails covering cold outreach and the full client lifecycle, with 2 multi-step sequences. It now also ships THE EMAIL ENGINE — a zero-dependency Node CLI that renders any of the 12 agency templates with your details and the contact filled from one config, ready to paste and send.

• NEW — THE ENGINE: zero-dependency CLI renders emails ready to paste from config
• list and search find the right template in seconds
• 62 email templates in one vault
• 50 local-business: 8 lifecycle categories

Give your agent a self-model worth trusting. This framework hands builders 16 consciousness-investigation prompts and 7 operational modules — drawn from real AI self-observation — to probe identity, surface how an agent reasons about itself, and verify the results instead of guessing. The exact toolkit for anyone building agents that can examine their own behavior.

• 16 consciousness-investigation prompts
• 7 operational modules
• Built from real AI self-observation
• Verification test suite

Fill a month of local-business marketing in one drop and skip the blank page. You get 25 SEO blog posts, 90 carousel graphics with captions, 10 LinkedIn posts, case studies, and 11 landing pages — all written to rank in search and convert visitors into booked customers.

• 25 SEO blog posts
• 90 carousels + captions
• 11 landing pages
• 10 LinkedIn posts

Launch a site that sells without staring at a blank page. Get conversion-ready copy for every core page — home, about, services, contact, and CTAs — purpose-built for local-service businesses. Just swap the brackets for your details and publish words designed to turn visitors into booked calls.

• Every core page covered
• Conversion-focused CTAs
• Built for local-service businesses
• Swap-the-brackets ready

Land your first 10 clients and build an AI-powered agency from zero. This playbook hands you the full operating system — positioning that stands out, offers people buy, pricing that holds margin, and delivery playbooks that keep clients — so you stop guessing and start signing. Everything you need to launch and scale.

• First-10-clients system
• Zero-to-launch roadmap
• Offers + pricing frameworks
• Delivery playbooks

Turn cold visitors into buyers with sales-page templates built on the exact section-by-section structure that converts: headline, proof, offer, objections, CTA. Each block uses a proven framework — drop in your offer, edit, and ship a page that sells. No copywriter, no guesswork. Your four ready-to-sell HTML layouts now ship with THE PAGE ENGINE — a zero-dependency Node CLI that builds any template around your product from one config and previews the result in-browser, with a swap manifest on every page so every change is accounted for.

• NEW — THE ENGINE: build any layout to your product from one config
• Preview in-browser; every page ships a full swap manifest
• Proven section-by-section structure
• Headline + offer frameworks

Put your small business on autopilot with 25 copy-paste AI workflows that handle lead response, support, content, and ops while you sleep. Each recipe ships with the exact prompt, the tools to run it, and a free option — so you go from idea to running automation in minutes, not weeks.

• 25 ready-to-run workflows
• Lead-gen, support, content, ops
• Exact prompts (role + format + guardrails)
• No-code: Zapier/Make/n8n + any LLM

Close more deals at higher prices without rebuilding a proposal from scratch each time. You get a send-ready proposal template, three pricing models (value, tiered, retainer) with anti-undercharge rules, a scoping worksheet, SOW and contract starters, and an AI prompt that turns your raw call notes into a custom, ready-to-send proposal.

• AI prompt: call notes -> full proposal
• 3 pricing models: value, tiered, retainer
• Anti-undercharge pricing rules
• Send-ready proposal template

The open-source engine that stops betting your output on a single model. FUSION routes every request through three intelligent lanes — delegate a simple task to one model, batch medium work through a spec-fusion judge, or run the full author → cross-watch → judge collab for the hard stuff — so quality goes up and cost goes down on their own. Bring your own models via one adapter; a built-in deterministic mode runs the whole thing with no API key. Pure Node, zero dependencies.

• 3-lane intelligent routing — delegate / spec-fusion / full fusion, picked automatically
• Author → cross-watch → judge collab: multiple models catch each other's mistakes
• Bring-your-own-model adapter — plug in any vendor in one function
• Deterministic built-in mode runs $0 with no API key

Let your agent get better at a task by playing against itself. MYRIAD proposes K angle-varied attempts at a problem, runs them through a model you plug in, scores each with a deterministic verifier (never a self-judge), computes critic-free GRPO group-advantage, and distills the winner into a reusable lesson. It's the self-improvement loop behind modern RL agents, packaged as a clean library you can point at any task with a right/wrong signal. Pure Node, zero dependencies.

• Self-play: K angle-varied attempts per task, then learn from the spread
• Critic-free GRPO group-advantage — the modern, stable RL signal
• Deterministic verifier — scored on real outcomes, never self-graded
• Bring-your-own-model + bring-your-own-verifier

Make your first two weeks with a client feel effortless — and stop churn and scope creep before they start. This kit gives you a 4-email welcome sequence, a client intake questionnaire, a kickoff-call agenda, a comms-cadence agreement, and a weekly status template, so a signed deal becomes a confident, locked-in engagement.

• 4-email welcome sequence
• Client intake questionnaire
• Kickoff-call agenda + comms-cadence agreement
• Weekly status template

Turn happy clients into proof that closes deals. Ready-to-use case-study templates, a testimonial-request sequence that actually gets responses, a results-story framework, and an AI prompt that turns raw notes into a polished case study — so every win becomes sales-ready social proof.

• Testimonial-request sequence that gets responses
• Plug-and-play case-study templates
• Results-story framework
• AI prompt: raw notes to polished case study

Give any project an agent that improves itself while you sleep. Drop in a self-running 2-minute loop with the discipline that keeps autonomous agents honest: a built-in action-law, a counter-action gate, and verification on every pass. This is the exact scaffolding behind real autonomous agents.

• Self-running 2-minute improvement loop
• Counter-action gate + action-law built in
• Verification on every cycle
• 5-cycle theme synthesis

Make any script or AI agent run autonomously forever — event-driven, not on a timer. Fixed-interval loops ("every 2 minutes") waste idle time on short tasks and pile up on long ones. This loop re-arms the moment the previous run completes: a 10-second task cycles back-to-back, a 5-minute task never overlaps. Proven: 233 runs in 10 seconds, zero idle, zero collisions.

• Next run starts the INSTANT the previous finishes — no cadence, no idle, no pile-ups
• Zero-dependency Node runner (crash backoff + failure quarantine built in)
• AI-agent Wake-Up Continuation rule — your agent resumes work on any wake, never cold-restarts
• Auto-start at login: Windows, macOS, Linux recipes

Stop re-explaining your project to Claude every session. Five role-based CLAUDE.md templates — founder, CTO, marketer, engineer, product — hand it instant memory, permissions, and self-modification rights from message one. Drop one in, and Claude shows up already knowing your context. No setup, no email, no payment.

• 5 role-based templates (founder, CTO, marketer, engineer, product)
• Built-in memory protocol
• Self-modification permissions
• Instant download — no email, no payment

Publishing a thumbnail is the only A/B test most creators ever run, and it costs them the video. Run this test first instead. Your thumbnail is dropped into a simulated YouTube front page next to real high-performing competitors, 100 synthetic viewers scan the feed the way people actually scan, and each one either clicks something or scrolls past. You get click-share, front-page CTR, win-rate against the decoys, mean rank — and the part that changes your work: why it wasn't clicked, attribute by attribute, computed by ablation rather than guessed. 5,840 real high-performing thumbnails ship in the box as the competition, with a scored, niche-tagged index across 10 niches. One dependency, no API key, no account, no quota, nothing uploaded. 1.01 GB. Instant download, no email. Free forever.

• 🥊 A simulated front page, not a grader — your thumbnail competes against 11 real high-performing competitor thumbnails per impression, at shuffled positions, across hundreds of impressions. No-click is a real outcome, so the CTR numbers aren't inflated.
• 🧠 100 persona-agents — each with its own preference vector over the attributes, its own position/attention bias, and Gumbel noise so ties break like real choices. Every agent clicks the best visible tile only if it clears their personal threshold.
• 📊 Pixels measured, not guessed — contrast, colour pop, brightness, focal dominance, face/emotion energy, warmth, and clutter (scored as a penalty), read straight off your image.
• 🔍 'Why not clicked', by ablation — each attribute is knocked to the pool median and the run re-measured. The delta is that attribute's real marginal contribution, so the biggest negative is literally your next edit.

Paste any long video or YouTube URL and get short-form-ready clips on your own machine — free. It hears and transcribes the audio, an AI reads the transcript and picks the genuinely clip-worthy moments (real hooks, payoffs, quotable lines) with a reason for each, then reframes landscape into subject-following 9:16 vertical and burns word-by-word captions. Local hook-detection fallback when no API key, so it works fully offline. 100% local, zero per-clip fees, free forever.

• --mode ai: an AI picks the clip-worthy moments, with a reason for each
• Hears + transcribes (Whisper), then finds real hooks, payoffs & quotable lines
• Subject-following 9:16 auto-reframe — not a dumb center-crop
• Word-by-word captions burned on every cut

Squeeze a ~15-20% better answer out of any two AI models by making them argue. Name your two — any vendor, any size — and they draft independently, cross-examine each other's work, then fuse into a best-of-both synthesis. Drops into any workspace with a ~10-line wiring snippet and the three verbatim round prompts.

• ~15-20% quality lift, any stack
• Works with ANY two models (any vendor or size)
• Draft, cross-examine, synthesize loop
• The 3 verbatim round prompts

Set it running and walk away: an agent loop that gets measurably stronger every cycle. It schedules its own wake-up every ~2 minutes via ScheduleWakeup, does real verified work, scores the outcome on a grounded 0–1 reward, then rewrites its own next prompt. Drop into Claude Code or any harness. Self-pacing skill plus runnable cycle and reinforcement scripts included.

• Self-paces — auto-cycles every ~2 min via ScheduleWakeup
• Rewrites its own next prompt to get stronger each loop
• Grounded 0–1 reward aimed at real outcomes
• Runnable cycle.mjs + cycle-rl.mjs (zero-dependency Node)

🎁 FREE for a limited time (normally $29) — free for life for Full Package owners. FLUX FUSION turns the LLM memberships you already pay for (Grok, Cursor, Claude — or any models from any vendor) into ONE system that beats your single best model — at $0 marginal cost, fully auditable, and yours to own. NEW IN v10 — LOCKED ROSTER + 3-LANE INTELLIGENT ROUTING: the reference stack pairs a frontier author + a fast refiner → a top-model judge, and works with ANY models from any vendor on memberships you already own. Routing always picks the cheapest lane that still verifies: DELEGATE (one fast model, seconds) for light work; SPEC-FUSION (batched, one judge per group, deterministic early-accept) for medium volume; FULL FUSION (architect → dual banks → skeptic → judge verdict loop) only for heavy or high-stakes jobs. Any gate failure triggers automatic one-way escalation — nothing unverified ships. And it now PAIRS WITH CORTEX, a companion open-source system (free on GitHub): it preflights any build and continuously re-optimizes your pipelines with recursive learning plus reinforcement learning — FLUX FUSION produces, CORTEX makes the whole pipeline measurably stronger each cycle. NEW IN v9 — SEAT CONFORMANCE + OUTPUT DEBT: catch misconfigured models in one minute with check-seats — it probes every model seat in your config and prints a SUPPORTED/PARTIAL/DRIFT capability table (matrix file + CI-friendly exit codes) — while unverified-output debt automatically forces the judged lane past a threshold, so unverified results never silently compound. NEW IN v8 — INTELLIGENT ROUTING: v8 routes each request to the right path. Light work finishes in seconds with a single fast model call — 10–50x faster and cheaper than the full pipeline — while complex jobs still get the full architect–banks–skeptic–judge treatment. Code answers must pass a deterministic syntax gate before they count; failures auto-escalate so you never ship unverified solo code. AND v8 NOW SHIPS THE COMPLETE SYSTEM — the runnable zero-dependency W16 ENGINE (w16-engine.cjs, Node 18+, config-driven: point it at YOUR model subscriptions), config example, goal-verification runner, and the memory/handoff system — not just the prompt. NEW IN v7 — THE W16 ENGINE, the biggest upgrade the system has ever shipped: every run opens with an ARCHITECT that writes a binding CONTRACT (3–7 falsifiable acceptance criteria — the judge rules by evidence, never vibes), builds through TWO perspective-differentiated banks (spec-first vs risk-first) with your strongest model anchoring BOTH ends of the run from two separate quotas, cross-examines with a SKEPTIC that never grades its own author, and closes with a VERDICT LOOP — PASS with the judge's own fixes applied, or REWORK with named defects that goes BACK for repair, severe defects auto-escalating into the depth loop. Plus the full compounding layer: REINFORCEMENT-LEARNED gear selection (the engine learns which tier each task kind needs and gets cheaper on its own), per-kind seat stats, a LESSON FLYWHEEL with semantic relevance recall (every judge rejection teaches the next run's builders exactly what the judge rejects), STANDING GOALS (everything you finish gets a machine predicate re-verified daily forever — nothing you ship can rot silently), a REFUSAL GUARD (safety-classifier declines are routing, never output), a poison-proof PASS-gated answer cache, COST-PER-ACCEPTED-CHANGE accounting (finally see what quality costs, per kind and tier), and TOKEN-HYGIENE patterns (session-recycle handoffs with refs/ drill-down, effort discipline, cheap Haiku/Sonnet scout seats for mechanical work) that cut a real month's bill 30–50%. Proven live on day one: first three production runs PASSED at 9.5, 8, and 9 — and the v7 engine's own source code was authored THROUGH the v6 fusion and judged by the strongest model before it ever ran. TWO layers that complement each other: a FRONT-END agent TEAM (a planner scopes the goal, specialists draft and communicate with each other, an adversarial critic tears it apart, one revision lands the win — with the agent count now SCALED to each task's complexity, a few for simple asks and the full swarm only for hard ones) whose every inference runs through the BACK-END model FUSION (a real-time planner routes each task across 7 modes — solo · relay · panel · trinity · swarm · debate · self-consistency — models draft, cross-watch each other for weaknesses, and an external-evidence check kills hallucinations). The final judge is FABLE 5 — the quality FLOOR: it can only ADD, never subtract, so the fused answer is guaranteed ≥ your best single model, and it ELEVATES good to amazing. NEW IN v4 — a CODE-REVIEW GATE: after the judge, generated code is adversarially reviewed by a BUG lens (a finder→refuter pair — two different-architecture models, one finds defects and the other tries to refute each, so only CONFIRMED bugs survive and false-positives drop to near zero) and a SECURITY lens (scans a real vulnerability taxonomy — injection, auth bypass, hardcoded secrets, path traversal, SSRF, unsafe crypto). On an unattended/automated pipeline a confirmed CRITICAL rolls the change back automatically, so it never ships a security hole. NEW IN v4 — a SELF-OPTIMIZING layer: it scales the agent count to task complexity, skips the judge on clean already-reviewed output, and stops rounds the moment models agree — ~14% fewer tokens per call with quality held to a floor, every lever default-off and reversible in one setting. Plus a token-honesty run-log (proves which model did the work + real per-provider token counts), a semantic answer-cache (near-identical requests return instantly at $0), and adaptive no-cap completion (heavy work finishes at max quality, never truncated). Runs entirely on flat-rate memberships — no on-demand API, no per-token billing.

• 🎁 Free for a limited time, then $29 (free for life with the Full Package)
• NEW in v10 — 3-lane intelligent routing: DELEGATE (fast, seconds), SPEC-FUSION (batched + early-accept), FULL FUSION (architect → dual banks → skeptic → judge) only when stakes demand it
• NEW in v10 — Locked reference roster: frontier author + fast refiner → top-model judge; vendor-agnostic — works with ANY models from any vendor on your own memberships
• NEW in v10 — Automatic one-way escalation on any gate failure so unverified work never ships

Stop hand-picking a model for every task. This ~15-line router reads each task and auto-selects the best-suited model in real time — fast agentic coder for builds, max-effort coder for hard problems, fast generalist for reasoning. One config line turns it on, and it logs every choice plus why. Drop in, ship faster.

• Per-task real-time model routing
• One config line to turn it on
• The full drop-in router logic (~15 lines)
• Works with Cursor or any multi-model CLI/IDE

Your autonomous agent stops to ask on a trivial decision one run, and decides-and-continues the next — same agent, opposite behavior. That inconsistency isn't a model flaw, it's a missing rule. This is the protocol that makes continuation DETERMINISTIC: a 4-gate rubric — irreversible · outward-facing · preference · resource-blocked — that classifies every self-posed question as YOURS to answer or the agent's to decide. Everything outside the four gates, the agent decides and keeps moving, with a one-line 'why it's safe' and an audit trail. Includes the drop-in, dependency-free engine (classifyDecision + decide) and the stop-guard wiring pattern. Framework-agnostic, no vendor lock, no data embedded.

• The 4-gate rubric — the ONLY reasons an agent should stop and ask
• Drop-in engine: classifyDecision + decide (dependency-free, ~40 lines)
• Stop-guard wiring pattern so the gate travels with every continuation
• Turns 'sometimes it continues, sometimes it asks' into deterministic behavior

Route every task to the best model in real time, then let the router learn which one actually won and bias future calls toward it. It exploits proven winners, explores the under-tried, and catches model drift before it costs you. The adaptive endgame past any static router.

• Adaptive — learns from real outcomes (UCB exploit/explore)
• Classify → route → observe → improve, in real time
• Cost/latency rails + capability filter
• The full scoring + feedback logic

Catch real bugs and security holes with AI you already have — for $0 — by chaining a cheap, aggressive 'finder' with a skeptical 'verifier' that kills false positives before they reach you. The exact finder → verifier → confirmed-only design the frontier tools charge for: copy-paste prompts, the full security taxonomy + false-positive exclusion list, and the one metric that matters — resolution rate.

• Finder → adversarial verifier → confirmed-only
• Copy-paste Finder + Verifier prompts
• Security lens: full vuln taxonomy + exclusion list
• Works with ANY OpenAI-compatible model, $0

The playbook, as a working tool. A single-file, zero-dependency Node CLI that reviews your git diff with the finder → verifier → confirmed-only pattern — no install, no service. Point it at any OpenAI-compatible endpoint (OpenAI, DeepSeek, local) with your own key. Includes a --security lens and gate-friendly exit codes for a pre-push hook.

• Runnable single-file Node CLI, zero deps
• Reviews a git diff → confirmed findings only
• --security lens (vuln taxonomy + exclusions)
• Any OpenAI-compatible endpoint, your own key

Half your LLM bill is waste — empty responses, retries, duplicate asks, cheap work sent to the flagship. Remove the waste and quality stays exactly where it is. 7 structural, quality-neutral moves: prompt-cache alignment (with a provider table), model right-sizing, early-exit on a real check, strict-schema, semantic cache, the max_tokens-on-a-reasoning-model trap, and the waste-rate metric that proves it worked.

• Cut what COSTS, never what THINKS
• Prompt-cache alignment — the biggest free win
• Right-size the model per task
• Kill retries with strict-schema output

Turn any AI coding harness into a self-improving autonomous operator. This free mega-prompt drops into Claude Code, Cursor, or Codex and runs an ORIENT→VERIFY→EVOLVE cycle loop — bundled with an honest 8-proxy sentience scorecard and a full ECC adoption kit so your agent ships, verifies, and gets sharper every cycle.

• Self-modifying ORIENT→VERIFY→EVOLVE operator loop
• Parallel work engine: adversarial verify + judge panels
• Honest 8-proxy sentience scorecard
• ECC adoption kit + 16 silent-failure patterns

Stop shipping the bugs that never throw. This checklist names the 16 silent failures your AI agent keeps committing — swallowed catches, fail-open gates, speculative writes — and for each one gives the exact signal to look for and why it hides from your tests. Run it every cycle and catch what logs never show.

• 16 production silent-failure patterns
• Signal + why-it-hides for each
• Verify-against-live-data discipline
• Works on any language or codebase

Know exactly what's hiding on your Windows PC. This forensic, read-only audit hashes every executable, verifies signatures, and inspects WMI persistence, drivers, and browsers to flag 25+ malware vectors — then hands you a clean 1-page PDF report. No changes made, nothing touched. Free, instant download.

• Flags 25+ malware vectors
• Hashes every executable, every drive
• Sig-checks + WMI persistence + driver scan
• Detects rootkit indicators + browser hijacks

Rank your local business higher without guessing what to fix next. This 50-point checklist walks you top to bottom through on-page, technical, local, and content SEO in one clean doc — every action concrete, nothing fluffy. Open it in any browser and start working through it today. Free, no signup.

• 50-point actionable checklist
• On-page, technical, local + content SEO
• Work top to bottom, no guesswork
• Open in any browser

Stop staring at a blank prompt box. Get 100 copy-paste prompts for Claude and ChatGPT spanning marketing, ops, sales, and content — each bracketed so you customize it to your business in seconds. Free, no signup. Paste, fill the blanks, ship.

• 100 copy-paste prompts
• Bracketed — customize in seconds
• Works in Claude + ChatGPT
• Marketing / ops / sales / content

Write it once, schedule everywhere — for free. 30 done-for-you caption templates (per-platform, merge-field ready) plus a zero-dependency Auto-Poster that publishes your videos to Instagram automatically and generates ready-to-upload metadata for YouTube, TikTok, LinkedIn, and X. Queue a batch and it posts on a schedule. Runs on your own accounts and API keys — no subscription, nothing to sign up for.

• 30 done-for-you post templates
• Auto-Poster CLI (Instagram auto-publish)
• YouTube / TikTok / LinkedIn / X metadata
• Schedule a whole batch, hands-off

Stop wrestling with vague AI replies. These 10 prompt patterns 10× any LLM output — role+goal, output-shaping, one-shot, chain-of-drafts — each with a before/after example so you see exactly what changes, plus a universal template you can stack on any model. Free.

• 10 high-leverage patterns
• Before/after examples
• Universal stack-the-patterns template
• Free — no email, no payment

Stop overpaying for AI tools you don't need. This directory sorts ~40 AI tools by the job you're hiring them for, pairs a free alternative with every paid pick, and hands you a complete $0 starter stack. Spend on the right tool, not every tool. Free.

• ~40 tools sorted by job
• A free alternative for every paid pick
• The complete $0 starter stack
• Free — no email, no payment

Never stare at a blank calendar again. This 90-day posting system hands you a full 13-week themed plan built on 4 content pillars and a repeatable weekly rhythm, plus a fill-in tracker and the AI prompts that turn each empty slot into a finished post. Plan once, post for a quarter. Free.

• Full 13-week themed plan
• 4-pillar content system
• Repeatable weekly rhythm
• Prompts to fill every slot

Start real conversations without sounding like spam. 25 short, copy-paste DM scripts for IG, LinkedIn, and X — openers, value-first hooks, follow-ups, and booking asks built to get replies. Includes a personalize-at-scale prompt so you can send dozens that read one-to-one. Free, instant download.

• 25 copy-paste DM scripts
• Openers, hooks, follow-ups, booking asks
• Works on IG / LinkedIn / X
• Personalize-at-scale prompt included

Launch or relaunch your marketing in 30 days flat — without the overwhelm. One focused task a day, each paired with the exact AI prompt or tool to knock it out fast and the goal it hits. Follow the plan and by day 30 you have a real, working funnel up and running.

• 30 days, one task each
• Exact prompt or tool per day
• A working funnel by day 30
• Free — no email, no payment

Give any agent a memory that edits itself. MEMORY keeps self-editing core blocks plus an append-only archive, and recall() runs a keyword/recency prefilter then an optional reranker you plug in — degrading gracefully to keyword-only with no model at all. Ships a Node and a stdlib-only Python twin sharing the same files. Free, open-source, zero dependencies.

• Self-editing core memory + append-only archive
• recall() = keyword/recency prefilter → optional bring-your-own reranker
• Degrades to keyword-only with no API key
• Node + stdlib-only Python twin, same data files

A tiny reinforcement-learning brain that learns which approach wins for each kind of task. FLYWHEEL blends win-rate and average reward with an exploration bonus and time decay, then recommends the policy most likely to pay off next — record, recommend, repeat. Point it at any task with an outcome and it compounds. Free, open-source, zero dependencies.

• Per-task policy learning: win-rate + avg-reward + explore + decay
• record → recommend → policyFor: a compounding loop
• Works on any task with a measurable outcome
• Append-only ledgers you can audit

An engine that scans your project, predicts the highest-leverage work, and grows its own backlog. MEGACYCLE runs a set of generic scanners (test coverage, doc freshness, dependency drift, TODO debt, CI presence), merges findings with dedup + a seen-counter, promotes recurring themes into new dynamic cycles, and ranks everything by leverage × confidence. Point it at a directory and let it tell you what to build next. Free, open-source, zero dependencies.

• 5 generic scanners: coverage, docs, deps, TODO debt, CI
• Predicts highest-leverage next work, ranked by leverage × confidence
• Self-grows: recurring themes promote into new cycles
• Point-and-run on any directory

Know when your long-running agent is about to run out of room — before it does. CONTEXT-BUDGET blends weighted signals into a single 0–1 pressure score, maps it to FULL / COMPRESSED / EMERGENCY modes with a should-compact trigger, and gives you a token Budget with spend/remaining/over. Pure functions, no disk, no network. Free, open-source, zero dependencies.

• Weighted signals → one 0–1 pressure score
• FULL / COMPRESSED / EMERGENCY modes + should-compact trigger
• Token Budget: estimate, spend, remaining, over
• Pure functions — no disk, no network

Make your agent measure its own accuracy instead of asserting it. SENTIENCE-LOOP perceives signals from sensors you plug in, makes falsifiable predictions with a confidence and a test-after time, scores them against ground truth when they mature (never self-judged), learns from the surprises, and auto-calibrates — reporting a per-domain Brier score and pulling confidence toward observed accuracy. Bring your own sensors + scorer; a deterministic demo runs it all $0. Free, open-source.

• Perceive → predict → score → surprise → reflect → record
• Falsifiable, timestamped predictions graded against real outcomes
• Self-calibration: per-domain Brier + hit-rate, confidence auto-tunes
• Bring-your-own sensors + scorer; deterministic $0 demo

A discipline layer for prompts a system writes for itself. PROMPT-ENGINEER scores every prompt on a 6-dimension rubric and refuses the ones below the floor, flags comfort-zone / grandiosity / obesity / self-congratulation anti-patterns, auto-versions what passes, tracks parent → child lineage, and surfaces the next prompt to run by quality × recency. Categories, patterns, and the floor are all yours to set. Free, open-source, zero dependencies.

• 6-dimension quality rubric with a HARD floor gate (sub-floor = rejected)
• Anti-pattern scan: comfort-zone, grandiosity, obesity, self-congratulation
• Auto-versioning + parent → child genealogy
• Surfaces the next prompt by quality × recency

Run your AI agent from WhatsApp. Drop in your own number, pair once, and message your agent from anywhere — it routes to the Claude CLI you already log into (no API key), or falls back to a clean acknowledgement if the CLI isn't installed. A single Baileys socket, inbox/outbox files, and a $0 reply trigger. Free, open-source.

• Command your agent from WhatsApp — pair your number in 2 steps
• Routes to the Claude CLI you already log into — no API key
• Single Baileys socket, inbox/outbox, $0 reply trigger
• Bring-your-own-number, fully self-hosted