Build a research brief you can actually check
Turn three source passages into a claim ledger, a restrained recommendation and a one-page brief. Includes a complete teaching packet and reusable prompts.
Work through the example ↗Choose a task, check the evidence and measure the result. Worked guides, an editable cost model and a tool shortlist help you make the next decision.
A good tool earns its place in your workflow.
Original teaching examples, complete exercises and reusable templates.
Turn three source passages into a claim ledger, a restrained recommendation and a one-page brief. Includes a complete teaching packet and reusable prompts.
Work through the example ↗Build an editable monthly cost model with retries, review time and setup. Follow a hypothetical USD example and calculate a useful break-even point.
Work through the example ↗Use a two-tool compare action as a bounded coding exercise. Includes acceptance criteria, a reference function, runnable tests and a diff-review checklist.
Work through the example ↗Design one draft per request version, recognize duplicate deliveries and stop conflicting inputs. Includes runnable sample logic and a production handoff checklist.
Work through the example ↗Compare recurring charges, review time and setup. Record your acceptance task, source checks and corrections in a worksheet you can download.
These source briefs are unreviewed discovery records, not tested recommendations. Search, save candidates and verify the original source.
Generates images and videos using Python. Open-source contributions possible via GitHub. Requires further validation for production use.
Access multiple AI harnesses for free with browser support and high token availability. Suitable for terminal, IDE, and app integration.
Source code for Apollo 11 Guidance Computer. Supports lunar and command module simulations.
Tool automates porting of PS5 executables to Linux and Windows systems. Simplifies cross-platform compatibility for developers.
Enhances Claude's code performance using insights from Karpathy on LLM coding errors.
Python library for tensor computation and dynamic neural networks. Supports strong GPU acceleration for efficient training.
Cross-platform framework for mobile app development. Supports building natively compiled applications for mobile, web, and desktop from a single codebase.
Optimizes context windows for AI coding agents. Reduces tool output drastically, maintains session memory, routes across multiple platforms.
Codebase documentation tool converting repositories into tutorials. Community contributions encouraged for development enhancement.
Z80-μLM enables training and exporting conversational models for vintage Z80 systems, targeting niche use cases in retro computing.
Code review tool uses hybrid architecture for deterministic pipelines and LLM Agent, supports multi-language ruleset and line-level comments.
Integrates SwiftUI with Claude Code, Codex, and AI tools. Facilitates development of agent skills using SwiftUI framework.
Rust-based AI gateway with Python SDK for multiple LLM APIs. Features cost tracking and load balancing.
Open source terminal for macOS with vertical tabs, notifications, focused on AI coding agents.
Graphical debugger for user-mode, multi-process applications. Focuses on efficiency and visual capabilities.
Library for engineering skills tailored for AI coding agents. Focuses on enhancing AI coding capability and integration.
Skill for concise coding responses, reducing unnecessary output for ADHD users.
Detect bugs in code repositories using GLM technology. Focuses on identifying vulnerabilities in applications.
Toolset for software development and team roles. Integrates 23 tools for various management and engineering tasks.
Agent workflows with Cursor primitives. Translates pstack for various AI platforms. Multiple code base versions available.
Generates code suggestions based on minimal effort concept. Less focus on best practices or performance optimizations.
Code generation tool using T3 stack principles. Target audience includes developers seeking streamlined integration and efficiency.
TypeScript library for building applications. Supports functional programming paradigms. Focuses on composability and type safety.
Optimizes performance in coding tasks using skills, instincts, memory, and security. Focuses on research-driven development.
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Each source brief links to its origin. Use the research guide to turn claims into a checked evidence ledger.
Compare source descriptions side by side, then use the decision lab to model costs and record a trial.
Set an acceptance condition before trying a tool. Record review time, errors and the result before adopting it.