OpenAI ChatGPT Applications

Browse applications built on OpenAI ChatGPT technology. Explore PoC and MVP applications created by our community and discover innovative use cases for OpenAI ChatGPT technology.

SourceCourt Exact Lite

SourceCourt Exact Lite

SourceCourt Exact Lite is a bounded, evidence-first research assistant built for AMD AI League Match 4. It answers source-grounded questions while refusing to invent certainty when the available evidence does not support an exact answer. The system retrieves and parses bounded HTTP/HTTPS sources, interprets a user’s question, identifies relevant evidence, ranks candidate passages and links, and extracts an exact answer only when the evidence is sufficient. When the answer is ambiguous, unsupported, or unverifiable, SourceCourt refuses rather than fabricating a result. The project was hardened against unsafe retrieval behavior. Its transport layer rejects private and loopback network targets, protects against SSRF and DNS rebinding, preserves TLS hostname verification, limits redirects, constrains response size and timing, and avoids unsafe proxy behavior. It also includes bounded resource use, deterministic error handling, citation checks, and explicit ambiguity/refusal behavior. SourceCourt Exact Lite is packaged as a real command-line product. It can be installed as a Python package, run locally, or executed from a container image. The public release includes reproducible setup instructions, a deterministic demo, and a security-focused test suite. The release is provider-neutral at the model-adapter boundary, keeping retrieval, ranking, evidence extraction, citation, refusal, and safety logic independent from any single model provider while allowing the official Match 4 runtime or grader to supply the required model configuration. Container: `ghcr.io/null007void/sourcecourt-exact-lite:1.1.2` Digest: `sha256:39cd2d31e6fb95219da190d12a5620868e68293ac6ad88f8659142b744e4feec` SourceCourt Exact Lite returns the exact answer when the source supports it, shows the supporting evidence, and refuses when the result cannot be verified.

Null007Void Labs
rest apiCodexChatGPT+1
SporeWithin: Autonomous Swarm AI Engine

SporeWithin: Autonomous Swarm AI Engine

SporeWithin is an autonomous tactical AI swarm intelligence and dynamic horror ecosystem built for complex 3D voxel sandbox environments. Developed and architected in direct collaboration with autonomous Agentic AI Coding models, SporeWithin transforms standard video game entities from predictable cannon fodder into intelligent, self-preserving predators. Key Systems Demonstrated in the Project: 1. Dynamic Acoustic Propagation: Entities possess advanced 3D auditory perception. Firing kinetic or chemical weapons instantly breaks stealth, provoking nearby patrols to triangulate gunshot vectors and hunt down the player. 2. Self-Preservation & Scout Intel: Wounded scouts recognize when an engagement is lost. Instead of suicidal rushes, they disengage, break line-of-sight, deploy obscuring spore clouds, and sprint into the fog to report back to the Hivemind. 3. Global Threat Escalation ('They Know About You'): When surviving scouts reach a central nest, the global Hive consciousness permanently registers the player as an active threat, initiating tactical targeted sieges. 4. Structural Infiltration Physics: Siege swarms dynamically breach fortified player bases—acid spitters burn vertical shafts through ceilings from below, heavy brutes physically tear down walls with visual block degradation, and stalkers breach the interior. 5. No Safe Haven: True diegetic tension where physical fortifications are merely temporary delays against an evolving collective mind. AI Innovation & Tooling: The entire technical foundation—including GCD rotation mathematics, multi-part hitbox structures, acoustic triangulation, and memory optimization—was architected and coded using Agentic AI coding workflows. In addition, all video pacing, narrative structure, and media presentations were produced using generative multimodal AI toolchains.

SporeWithin Team
Gemini 3 FlashAnthropic ClaudeChatGPT
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