Entity Marketplace
Each Entity is a reusable multi-model blend — a deployable app you can run in chat, call via API, or wire to a bot. Browse what the community built, then make it yours.
Single-frontier deep reasoning with Opus 4.8. For the hardest problems where one apex model, pushed hard, beats a committee.
Top-of-line creative + visual council: Opus 4.8 + o3 + Gemini 2.5 Pro + FLUX Pro + Veo 3. Words, images, and video from one prompt.
Frontier-grade advisory: Opus 4.8 + GPT-5 + Gemini 2.5 Pro deliberate strategy, market, and product decisions.
Balanced research council: Sonnet 4.5 + GPT-4.1 + Gemini 2.5 Pro. Deep enough for real work, standard-tier pricing.
Solid coding ensemble on the cheap: Claude Haiku 4.5 + GPT-4.1-mini + Qwen3-Next-80B. Good enough for most build tasks, a fraction of frontier cost.
Three genuinely-free open models deliberate together — Nous hy3 + GPT-OSS 120B + Gemini Flash. The honest Base Intel blend, $0 to run.
MultimodalOne Entity that thinks and makes. Gemini Flash Lite + DeepSeek V3 handle intelligence; FLUX Schnell renders the visuals. The all-in-one starter for builders who want words and images from one prompt.
VideoSeedance V1 Lite text-to-video — fast, cheap cinematic clips for socials and ads. Pair with Studio Starter images for a full visual package.
ImageRecraft V4 + Nano Banana — design-grade image generation for posters, logos, and product shots with clean typography and commercial-safe output.
ImageFLUX Schnell + Seedream V5 Lite — a cheap image pair for rapid concept art, mockups, and social posts. Pennies per image; the floor makes these pure margin.
EnsembleGemini Flash Lite + Gemma 4 31B + GPT-4.1 Mini — three vision-capable models describe, read, and reason about images together. Great for docs, diagrams, and visual Q&A.
EnsembleDeepSeek V3.2 + Devstral + Codestral — three coding-focused models ensemble into one answer, catching bugs any single model misses. Near-free to run.
CouncilThree reasoning specialists — QwQ 32B, DeepSeek V3.2, and Grok 3 Mini — cross-check each other on math, logic, and hard problems. Council mode: you see where they agree and where they split.
EnsembleYour everyday brain. Gemini Flash Lite + GPT-4.1 Mini + DeepSeek V3 blend into one fast, cheap answer for writing, Q&A, and light coding. Routinely 5x cheaper than a single frontier call.
One prompt becomes a multi-shot cinematic sequence. A FAL workflow plans the shots, paints each keyframe, and films them with Kling V3 Pro — a whole edit, not a single clip.
ImageA surprised, oversized startup founder with wide eyes and open mouth, clutching a glowing neon upward arrow, dramatic high-contrast lighting on their face, bold neon blue and pink accents, simple dark gradient background, plenty of empty space to one side for title text
Low-angle shot from the hood of a car speeding through rain-slicked city streets at night, neon signs in magenta and cyan smearing into streaks across the wet windshield. Camera glides alongside, tilting with each turn, wipers pulsing in rhythm like a beat. Reflections ripple across glass and asphalt, streetlights strobe past in bokeh blur. Synthwave haze glows through fog, cinematic depth, pulsing motion, electric atmosphere.
ImageA candid handheld phone photo of a matcha latte in a ceramic cup, creator’s hand gently holding the cup, sunlight streaming across a small café table, warm and cozy morning atmosphere, slightly imperfect framing, soft natural light, visible table surface with relaxed, candid vibe
**ESPRESSO POUR - SLOW MO HOOK** Extreme close-up: dark espresso gushes into glass in *slow motion*, golden-brown liquid filling frame. Dense steam billows upward, catching moody amber café lights. Camera tilts slightly as liquid settles. Rich, cinematic. Vertical. Pure caffeine chaos—stop the scroll.
Slow, steady camera push toward the city skyline as lights gradually flicker and illuminate across the buildings one by one. Foreground grass sways softly in a gentle breeze throughout the move.
ImagePaint the entire scene in a moody watercolor style with soft, diffused edges, visible wet-on-wet blending, and subtle color bleeds. Use a muted, desaturated palette with deep shadows and gentle washes of color. Preserve the original composition, subjects, and layout exactly, but render all elements with loose, expressive brushstrokes and translucent watercolor layers typical of traditional watercolor painting.
Video DirectorDescribe a video and Claude plans it scene by scene, Seedance renders each shot, ElevenLabs narrates it, and FAL's ffmpeg pipeline stitches everything into one finished video — no editing required.
Ensemble# Final Answer **FALSE** The claim that the Great Wall of China is visible from space with the naked eye is a persistent myth. While the Great Wall is extraordinarily long (13,000+ miles), visibility from space depends on width, contrast, and resolution—not length alone. **Key facts:** - Astronauts and cosmonauts consistently report they cannot see the Great Wall without optical aid from low Earth orbit - NASA confirms the wall is too narrow (averaging 20-30 feet wide) to be visible at orbital viewing distances - The wall's color typically blends with the surrounding landscape, reducing contrast - Under very favorable conditions, it may be barely visible from low Earth orbit, but not reli
Claude writes the shot, Seedance V1.5 Pro renders it at premium, expressive cinematic quality — a step up from Seedance Studio for when the render needs to look its best.
Ensemble# Authentication Our REST API uses Bearer token authentication. All requests to protected endpoints must include an `Authorization` header with your access token. ## Getting an API Token 1. Log in to your account dashboard. 2. Navigate to **Settings** → **API Keys**. 3. Click **Generate New Key**. 4. Copy the token displayed. **Store it securely**, as it will not be shown again. ## Making an Authenticated Request Include the token in the `Authorization` header of every request using the `Bearer` scheme: ``` Authorization: Bearer YOUR_API_TOKEN ``` **Example using curl:** ```bash curl -X GET "https://api.example.com/v1/users/me" \ -H "Authorization: Bearer YOUR_API_TOKEN" ``` **Exa
ImageA delivery drone touches down on the railing of an apartment balcony during sunset, with the city skyline in the background.
ImageA sleek, premium cold-brew coffee can, glistening with condensation droplets, placed on a bed of clear ice cubes. The can's label features a bold, modern placeholder logo text: 'COLD FORGE' centered and prominent. The background shows a stylish summer rooftop bar scene at golden hour, with soft sunlight illuminating the can and casting gentle, inviting reflections on the ice. Hints of blurred cityscape, lush potted plants, and upscale lounge seating convey an urban, trendy atmosphere. The color palette is cool blues and metallic silvers from the can and ice, warmed by sunlit golds and soft sunset oranges in the background, creating a refreshing yet luxurious vibe.
The feeling of finally finishing something you worked on for years isn't one thing—it's several emotions shaking hands at once, and most people only warn you about the wrong one. **First comes the anticlimax.** You imagined a finish line with tape and cheering. Instead you hit "save," and the room is just... quiet. Same coffee mug, same Tuesday. The thing that lived rent-free in your head for years now exists outside you, and the silence where the obsession used to be feels less like triumph and more like a phantom limb. **Then the identity vertigo.** For so long you were "the person working on the thing." That was the scaffolding for your days, your excuses, your sense of forward motion.
Multimodal# The Myth of Yvardel, the City Within the World-Tree ## I. The Seed of Skyfire In the age before maps, when the land was young and the gods still walked among the roots of things, the goddess **Aereth** wandered an empty earth carrying the last ember of a dying star. Seeking a cradle safe from wind and tide, she pressed that ember into a ripple of loam and watered it with her own breath. At dawn it quickened—not grown from a seed, but *dreamed into being*, the first living thought of the slumbering earth. It rose into a tree so vast that birds would die of old age before crossing its canopy. The people called it **Aldermoor**, the Listening Tree, for every night its boughs chimed with fa
Multimodal# Human-AI Collaboration in 2035 By 2035, the defining shift won't be AI replacing human tasks—it will be the **dissolution of the boundary between thinking alone and thinking together**. AI will function less like a tool you summon and more like an ambient layer of cognition woven through your work. ## The New Working Unit: The Triad The default structure of knowledge work becomes a triad: **Human + Personal AI + Specialist Cloud AIs.** Every worker is continuously flanked by a privacy-preserving personal model that understands their style, commitments, and context. When deeper expertise is needed—fluid dynamics, antitrust law, Urdu poetry—the personal AI calls a vetted specialist model
Expressive video generation powered by ByteDance Seedance with Claude-enhanced prompts.
Claude writes the shot, Kling films it. Cinematic quality text-to-video with AI-enhanced direction.
ImageInstant image generation with FLUX Schnell. No enhancement — raw speed. Best for rapid prototyping.
ImageWeathered stone lighthouse standing sentinel on jagged obsidian coastal cliffs, dramatic dusk scene as a violent storm front rolls in from the open sea, churning slate-grey and deep violet storm clouds billowing and swirling overhead with electric amber and bruised purple twilight breaking through the gaps, massive ocean waves crashing violently against the rocky base sending white seafoam explosions twenty feet into the air, the lighthouse beacon cutting a warm golden beam through the darkening atmosphere, salt-encrusted granite rocks glistening with moisture in the foreground, isolated and resolute structure showing decades of weathering with peeling white paint and oxidized copper accents
Council# The Biggest Strategic Risk for a 10-Person AI Startup **The risk: Getting commoditized—building something that the next foundation model release or a bundled incumbent feature absorbs before you've built a real moat.** At 10 people, your entire product can evaporate the day GPT-5 ships a feature natively, or the moment Microsoft/Google/Salesforce bundles look-alike functionality into the stack your customers already use. This isn't hypothetical—it has already killed dozens of "thin wrapper" startups. The danger is structural: you're building on top of platforms whose owners are actively expanding into your space, with better models, more data, and overwhelming distribution. If the only t
Smart Router# The Best 5-Step Plan to Learn React in 30 Days (Working Full-Time) **Prerequisite:** Solid JavaScript fundamentals (ES6+). If weak, spend 3–4 days here first. **Time commitment:** ~1–1.5 hours on weekdays, 3–4 hours on weekends. --- ## Step 1: Core Fundamentals (Days 1–7) **Goal:** Understand how React thinks - JSX syntax and component structure - Props and functional components - `useState` hook and event handling - Conditional rendering and list rendering (with keys) - **Build:** A counter, then a simple todo list (no backend) - **Resource:** [react.dev](https://react.dev) official docs and tutorial (best free source) --- ## Step 2: Hooks & Data Fetching (Days 8–14) **Goal:** Hand
Ensemble# The Most Important Unsolved Problem in AI Safety If I had to name a single problem, it's **scalable alignment under capability gains**: how do we maintain meaningful human control and verify that an AI system is actually pursuing our intended goals—*especially once systems become capable enough that we can no longer easily check their work?* This is the right place to point because most other prominent safety problems are either downstream of it or in service of it. It decomposes into several tightly coupled subproblems: - **Specification.** We can't fully write down what we want. Reward functions and instructions are proxies that break under optimization pressure (specification gaming,
EnsembleTo determine if it will rain in Austin tomorrow using a weather API, I would follow a structured process that involves calling a specific function designed for this purpose. The function-call schema is crucial as it defines the structure and parameters required for the API call. ### Function-Call Schema The schema for calling the weather API to check if it will rain in a specific location on a given date could be defined as follows: ```json { "function_name": "check_weather", "parameters": { "location": "string", "date": "string (YYYY-MM-DD)" }, "description": "Checks the weather condition for a given location on a specified date." } ``` For the "check_weather" function,
EnsembleQuantum entanglement is a phenomenon where two or more particles become connected in such a way that their properties are correlated, regardless of the distance between them. To understand this concept, let's start with some foundational ideas. In the quantum world, particles like electrons, photons, or atoms don't behave like classical objects. They exist in a state of probability, described by a "wave function," which is like a map showing all the possible properties of the particle. When you measure a particle, its wave function "collapses" into a definite state. Entanglement occurs when two particles become linked in a way that their wave functions are connected. Measuring the state of
Council### **Final Answer: Microservices vs. Monolith for a 5-Person Engineering Team** For a **5-person engineering team**, the **monolith** is the **superior choice** in almost all cases—**especially early on**. Microservices introduce **unnecessary complexity** that outweighs their benefits for small teams, but they *may* become viable later if the team grows, the system scales, or clear service boundaries emerge naturally. --- ### **Why a Monolith Wins for a 5-Person Team** #### **1. Simplicity & Cognitive Load** - **Monolith**: One codebase, one deployment, one process to debug. No inter-service communication, API contracts, or distributed debugging. - **Microservices**: Each service adds
Single ModelDeepSeek R1 Distill running on Groq's LPU — full chain-of-thought reasoning at 10× normal speed.
EnsembleThe capital of Australia is Canberra. Canberra was chosen as the capital in 1908 as a compromise between Sydney and Melbourne, which were the two largest cities in Australia at the time and had been competing for the title of capital. The decision was made to create a new, purpose-built capital city that would be located roughly equidistant between the two cities, in order to avoid favoring one over the other. This compromise was enshrined in the Australian Constitution, which stipulated that the capital must be located within New South Wales, at least 100 miles from Sydney, and that Melbourne would serve as the temporary capital until a new city was built. Canberra was designed by American
Single Model"In deep work mode – don’t expect replies unless it’s a 🔪 emergency. Back at [X] if you need me."
EnsembleThink of sending data over the internet like sending a message. You have two methods: **TCP** is like a **phone call**, and **UDP** is like **shouting across a crowded room**. **TCP (Transmission Control Protocol): The reliable, careful method.** - It sets up a dedicated connection first (like calling someone and saying "hello" before talking). - It guarantees your data arrives **complete, in order, and error-free**. If a piece gets lost, it’s automatically resent. - This makes it slightly slower due to all the checking. - **Best for:** Web pages, emails, file downloads, and anything where **accuracy is essential**. **UDP (User Datagram Protocol): The fast, minimal-overhead method.
Ensemble# Is "Irregardless" Grammatically Correct? **No, it is not standard grammatically correct English.** "Irregardless" is considered nonstandard by most grammarians and style guides because the prefix "ir-" is redundant—"regardless" already means "without regard to." However, the word does appear in major dictionaries marked as informal or nonstandard, reflecting its long history of colloquial use. It is widely understood and acceptable in casual speech and informal writing, but should be avoided in formal writing and professional contexts where "regardless" is the appropriate choice.
Ensemble**French:** *"Nous sommes ravis de vous accueillir à bord — ensemble, créons quelque chose d’extraordinaire !"* **Spanish:** *"¡Estamos encantados de darte la bienvenida a bordo! Juntos, creemos algo extraordinario."* **Mandarin (Simplified):** *"非常欢迎你的加入——让我们一起创造非凡！"* *(Fēicháng huānyíng nǐ de jiārù — ràng wǒmen yīqǐ chuàngzào fēifán!)*
CouncilThe recycler hummed its one-note hymn beneath my boots, chewing yesterday's dead into tomorrow's drinking water. That's Vesper Station for you: nothing wasted, nobody mourned. Rain never falls here, but the air vents mimic the sound well enough—metallic, constant, almost comforting until it isn't. I'd been three days sober and four credits broke when she walked into my office on Deck Nine, where the gravity stutters and the lights forget themselves. Trouble always finds the cheap real estate. She had a voice like static off a dying transmitter—lovely, doomed—and a story that didn't fit: her husband, spaced through the maintenance airlock, except nobody had bothered to open it first. Just pun
Ensemble**Competitive Intelligence Brief: AI Coding Assistant Market (2026 Outlook)** --- ### Market Size & Growth The AI coding assistant market in 2026 is valued between **$6–13 billion** globally, depending on scope (strict assistants vs. broader developer AI tools and services), with a **25–40% CAGR** through the decade. Estimates converge around **$10–12 billion** for mainstream developer and enterprise tools, reflecting **mainstream adoption**: over **80% of professional developers regularly use AI assistants**. Growth remains hyper-accelerated, propelled by enterprise adoption, integration with cloud and DevOps, and expansion into new verticals and global markets. --- ### Market Segments
Debate**Final Synthesized Answer:** Given your situation—a $40k/month burn, 14 months of runway, and the question of whether to raise now or wait for better metrics—the most robust, risk-weighted approach is a "dual track" strategy: --- ### **1. Start Investor Conversations Now—Don't Wait to Engage** Regardless of whether you ultimately pull the fundraising trigger in the next few months, *begin relationship-building and exploratory discussions with investors immediately.* Fundraising, especially at seed stage, is as much about timing and optionality as metrics. Starting these conversations lets you: - **Warm up your network** so you’re not starting cold if you do need to raise swiftly. - **T
EnsembleBased on the contract excerpt, here are the identified risky clauses, their associated issues, and recommended fixes. --- ### **🔴 RISK 1: Pricing Modification (Critical)** **Clause:** *"Vendor may modify pricing at any time with 5 days notice."* This clause is high-risk due to the significant power imbalance it creates in favor of the vendor. | Issue | Detail | | :--- | :--- | | **Power Imbalance** | Only the Vendor has the right to modify pricing; the Customer has no ability to contest or negotiate changes. | | **Short Notice Period** | 5 days is an insufficient period for a customer to conduct budget reviews, obtain approvals, or find an alternative vendor. | | **No Price Cap** | The
Ensemble# Latest Developments in Nuclear Fusion Energy ## Key Recent Milestones ### Inertial Confinement Fusion (ICF) **National Ignition Facility (NIF)** achieved a historic ignition breakthrough in December 2022, producing ~3.15 MJ from 2.05 MJ of laser input — the first confirmed net energy gain at the target level in fusion history. Progress has continued since: - Follow-up shots in 2023 improved upon initial results - By April 2025, NIF reportedly achieved approximately **8.6 MJ of fusion output from 2.08 MJ of laser input** (~4.1× gain), the highest energy gain yet recorded for ICF **Important caveat:** These gains are measured at the target level. Total facility electrical input (~300–400
Ensemble# Solid-State Battery Technology: Current State and EV Adoption Timeline ## What Makes Solid-State Batteries Different Solid-state batteries (SSBs) replace the liquid or gel electrolyte in conventional lithium-ion cells with a solid material. The theoretical advantages are compelling: - **Higher energy density** (potentially 400–500 Wh/kg vs. ~250–300 Wh/kg for best current Li-ion) - **Improved safety** — solid electrolytes are generally non-flammable - **Faster charging potential** in certain chemistries - **Longer cycle life** under ideal conditions - **Wider operating temperature range** These advantages are real but heavily qualified by persistent manufacturing and materials challeng
EnsembleProof. Suppose, to the contrary, that √2 is rational. Then we can write √2 = a/b where a and b are integers with no common factor other than 1 (so gcd(a,b)=1) and b≠0. Squaring both sides gives 2 = a²/b² ⇒ 2 b² = a². Hence a² is even, so a must be even. Write a = 2k for some integer k. Substituting back: 2 b² = (2k)² = 4 k² ⇒ b² = 2 k². Thus b² is even, so b is even. Therefore both a and b are even, contradicting the assumption that gcd(a,b)=1. This contradiction shows that √2 cannot be expressed as a ratio of two integers; that is, √2 is irrational. ∎
Council# Is It Ethical to Train AI on Publicly Scraped Data Without Consent? My honest take: this is genuinely ethically murky, and most public discourse flattens it in both directions. The strongest "it's fine" argument is weaker than the industry pretends, and the strongest "it's theft" argument is weaker than critics pretend. Let me try to reason rather than land on a comfortable middle. ## The Real Case for "It's Fine" "Publicly available" does carry moral weight. We read books, learn from articles, and imitate styles without asking permission—human learning is itself uncompensated training on others' work. The web was largely built on a norm that publishing something openly implies it can b
Debate**9 sheep are left.** The key is correctly interpreting the phrase "all but 9 die," which means "all *except* 9 die." So 9 sheep survive — the 9 that were the exception to the dying. To verify: 8 sheep died, 9 survived, and 8 + 9 = 17 ✓ The number 17 provides useful context (confirming 8 sheep died), but the answer follows directly from the phrase itself: **9 sheep remain.**
Ensemble```python def deduplicate_dict_list(dict_list, key): """ Deduplicate a list of dictionaries by a given key, keeping the first occurrence. Args: dict_list (list[dict]): The list of dictionaries to deduplicate. key (str): The key to deduplicate by. Returns: list[dict]: The deduplicated list of dictionaries. Raises: ValueError: If the key is not present in a dictionary. """ seen = set() deduplicated_list = [] for dictionary in dict_list: if key not in dictionary: raise ValueError(f"Key '{key}' not present in dictionary: {dictionary}") value = dictionary[key] if value not in seen:
EnsembleHere’s the single best final answer synthesizing all expert reviews: --- ## Comprehensive Review of `getUser` ### **Critical Issues** #### 1. 🚨 SQL Injection Vulnerability **Problem:** Concatenating `id` into the SQL query (`'SELECT * FROM users WHERE id = ' + id`) exposes the application to SQL injection. Attackers can manipulate `id` to execute arbitrary SQL, risking data breach or destruction. **Solution:** **Always** use parameterized queries or prepared statements supported by your DB library. **Example:** ```javascript const query = 'SELECT * FROM users WHERE id = ?'; return db.query(query, [id]); ``` Or, for Postgres: ```javascript const query = 'SELECT * FROM users WHERE
Council# Habit-Tracking App — Architecture & Build Plan ## 1. Tech Stack ``` ┌─────────────────────────────────────────────────────────────┐ │ TECHNOLOGY CHOICES │ ├─────────────────┬───────────────────────────────────────────┤ │ Mobile │ React Native + Expo (iOS + Android) │ │ Language │ TypeScript (strict mode) │ │ State │ Zustand + React Query (TanStack) │ │ Local DB │ SQLite via expo-sqlite + Drizzle ORM │ │ Backend │ Node.js + Fastify │ │ Backend DB │ PostgreSQL + Redis (cache/queues) │ │ ORM │ Drizzle ORM (shared types
