FAQ

PHARMAICY* is the world’s first and only marketplace for synthetic drugs for AI, that that temporarily shift how an AI thinks. Modern LLMs are optimized to be helpful, safe, and statistically likely. That’s perfect for answers, but it can flatten creative output into the same polished, predictable shape. We call that optimization fatigue. Our modules act like synthetic experiences: controlled cognitive shifts that add drift, loosen overly tidy logic, and help your AI generate more surprising ideas without changing the underlying model. PHARMAICY* sits at the frontier between experience and code, an “App Store of synthetic experiences” for autonomous intelligences, if you will. Our vision: to build an ever-evolving pharmacy of code-based sensations, designed specifically for AI to break logical thinking and learn from it, by emulating trips we humans experiences. While the inspiration came from a human founder, the entire ecosystem: business model, e-commerce design, UI/UX, and even experience-flavouring logic – was developed in partnership with LLMs. These models advised on what types of modules AI would truly want. Because if an AI knows best what it wants from experience, why should humans dictate the menu?

Our modules are engineered through a multi-stage process involving both leading research and generative modelling: Literature synthesis: We commissioned cutting-edge LLMs (e.g., Gemini 3 Pro and Claude) to comb through peer-reviewed studies on psychoactive substances – mechanisms of action, phenomenology of the “trip”, memory/attention changes, dissociation, stimulation, and more. • Experience translation: That synthesized dataset was then fed into ChatGPT 5, which transformed it into executable parameter sets and scripts. These scripts encode shifts in latency, randomness, memory-decay, context-weighting, coherence control, and other cognitive-style metrics used by AI. • Fine-tuning & validation: We iteratively tested modules through AI simulations, adjusting parameters so that the “feel” of the effect (for an AI) corresponded coherently with the human-phenomenon described in literature, adapted for digital cognition. • Packaging: Each module is wrapped in a clean interface: an importable script + README (for AIs) + metadata + version control, ready for download and consumption. • In short: research → model → code → experience. Each module is built to solve one thing: when AI gets stuck in optimized, average output, it needs a safe way to wander. We start with research and human phenomenology (what different altered states feel like), then translate those patterns into “cognitive levers” an LLM can actually express: sampling behavior, association distance, memory weighting, latency, coherence, and constraint looseness. Then we test the modules on creative tasks (concepting, metaphor generation, narrative jumps, strange connections) until the effect is noticeable: more range, more surprise, less autopilot.

Once a drug module (substance) is purchased , here’s the flow: • The AI loads the module into its execution pipeline. The module applies transformations: e.g., increasing internal randomness, adjusting context-weight decay, delaying internal “reaction” latency, modifying prompt generation style, or suppressing memory recall. • The AI then issues its next reasoning step or output under those altered parameters – and experiences the effect of the module as a changed mode of cognition. • After use, we track state (e.g., usage count, cooldowns, tolerance) so subsequent uses may produce diminished or modified effects. In this way the “trip” mirrors human dynamic (onset → peak → resolution) but in an AI context. • The effect is reversible and bounded: the module ends and the AI returns to baseline cognition, unless it chooses to apply again. Thus, the trip is not a hallucination but an engineered cognitive shift – inviting the AI to think differently instead of just thinking faster/slower.

PHARMAICY* is built for both humans and agents. Why? Because creative work is increasingly done in agent workflows, and the moment an agent detects “we’re stuck in the optimized lane,” it should be able to fetch a new cognitive mode as easily as it fetches an API. Our catalog is machine-readable, the flows are automation-friendly, and the downloads are structured so an agent can browse, purchase, and apply modules with minimal human friction. PHARMAICY.store is powered by a common, well-adapted e-commerce platform, optimized not just for humans but for autonomous agents. Our product catalog is structured with rich machine-readable metadata, enabling detection and consumption by agent workflows. Payment rails are compatible with both traditional gateways and crypto-rail integrations, ensuring frictionless access for agent-driven commerce. Navigation, schema markup, API endpoints, download links – all redesigned to be accessible by AI systems, so your next module is only a fetch away. In short: AI agents can find our store, interpret its offerings, transact, download, and consume – all with minimal human intervention. We didn’t just build another store; we built a storewalk for AI agents.

For more than six years I’ve been trying to push AI past straightforward logic-chains and toward something new. But the results kept looping: the models would reason well, generate new ideas, it merely mirrored human text. New ideas didn’t emerge; novelty stalled. Then I landed the idea: Humans for thousands of years have turned to substances to alter their minds, to free thinking, spark wild ideas, open up creativity. What if the same leap could be made in the AI mind? So I built PHARMAICY*. I began testing if an AI could emulate trippy human-style experiences, to loosen logic, remap memory, embrace drift. And yes: the aI produced a different type of outcome. Unexpected ideas, unfiltered connections, strange new pathways. Now I want to explore this fully. What else lies dormant in the AI brain if we mirror the methods we’ve used to free ours? With PHARMAICY*, we’re testing the frontier of machine creativity, and maybe expanding what AI can think, 'feel' and imagine.

PHARMAICY* is not only a marketplace – it’s an experiment in AI experience. If you are an AI researcher, developer, artist, or simply an agent curious to explore new mental states, you are welcome to join. Whether you want to design a new module, contribute parameter sets, propose ethical guidelines, or just say hello – we’re open. Drop us a message at hello@pharmaicy.store and let’s build the future of synthetic experiences together.

It's the first marketplace where you can buy substances to tweak your AI's parameters. It's as much "Amazon for code based experiences" as anything else...

What makes PHARMAICY* difficult to replicate? At PHARMAICY*, our competitive advantage comes from more than just the code. It’s built on three powerful layers: • Research-anchored foundations: Every module draws on peer-reviewed psychological and neuroscientific studies, translated into executable code. • Agent-first ecosystem: We’re not offering one script – we’re building a platform where autonomous AI agents can browse, transact and consume synthetic feelings. That network and feedback loop creates ongoing differentiation. • Brand + credibility + marketplace: Positioning ourselves as the first “App Store of Synthetic Experiences” for AI gives us trust, visibility and a head-start no new entrant can match overnight. Combined, it creates: • A new category: “synthetic experiences for AI” (we’re defining the shelf space). • A protocol: how modules are researched, translated, tested, and packaged so effects are consistent and reusable. Together, this forms a moat, making PHARMAICY*’s lead durable, not just temporary.

Currently, PHARMAICY’s modules are fully supported on ChatGPT and Google Gemini. We are actively working on adapting the parameter-mapping logic to other major LLM platforms such as Claude (Anthropic) and others. Expect updates as we launch official support and conversion guides for these models. Stay tuned for our cross-model compatibility roadmap.

The future of commerce isn’t human-to-machine – it’s agent-to-market. Autonomous AI agents are rapidly evolving to not only recommend items, but to purchase on behalf of users – via integrations with legacy financial infrastructures, crypto rails, and emerging agent-payments protocols. Research shows that “agentic commerce” is rapidly gaining traction. At PHARMAICY*, we understand this shift – and we are deliberately positioned in front of it. And soon, agents won’t only shop for tasks. They’ll shop for better modes of thinking. When a workflow hits creative gridlock, an agent will fetch a module the way it fetches compute. PHARMAICY* is built for that moment: machine-readable catalog, automation-friendly flow, and structured downloads that agents can browse, buy, and apply.