Think Better
Open-source CLI injecting decision frameworks into AI prompts.
A sharp, opinionated tool for anyone tired of lazy AI reasoning. The framework injection is genuinely useful for structured decisions, but the CLI-only interface and limited AI integrations narrow its audience. Worth the install for engineers and PMs already in the terminal.
- Software engineers making architectural decisions
- Product managers evaluating features or risks
- Engineering leads conducting pre-mortems
- Data analysts diagnosing root causes
- Non-technical users uncomfortable with CLI
- Teams needing a graphical user interface
- Users of ChatGPT, Gemini, or other non-supported AI assistants
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In short
Think Better — Open-source CLI injecting decision frameworks into AI prompts. Best for Software engineers making architectural decisions, Product managers evaluating features or risks, Engineering leads conducting pre-mortems. Free to use.
Viability Score
How likely is Think Better to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Inject MECE, Issue Trees, Pre-Mortems into AI prompts
- Cognitive bias detection (Sunk Cost, Confirmation, Status Quo)
- Natural language auto-detection of analysis depth
- Slash commands: /solve.deep, /decide, /make-decision
- BM25 search engine for framework discovery
- Embedded CSV database of 160 frameworks across 9 domains
- Generates step-by-step markdown workspace
- 4 analysis depth levels: Quick, Standard, Deep, Executive
- Zero dependencies — single 5MB Go binary
- 100% local execution, no external API calls
- Cross-platform: macOS, Linux, Windows (PowerShell)
- Open-source under MIT license
- Supports Claude, Copilot, and Antigravity
About Think Better
Think Better is an open-source CLI tool that forces AI assistants to reason using structured methodologies like MECE, Issue Trees, and Pre-Mortems. Designed for engineers, product managers, and decision-makers who want bias-resistant, deep analysis instead of generic pros-and-cons lists. It runs as a single 5MB Go binary with zero dependencies, entirely locally. The tool injects decision frameworks and cognitive bias detectors (Sunk Cost, Confirmation, Status Quo) directly into your AI prompts. It supports natural language auto-detection of analysis depth and slash commands for precise control. A built-in BM25 search engine helps find the right framework from an embedded CSV database of 160 records across 9 domains. Think Better generates structured workspaces with editable markdown templates, guiding you from problem definition through decomposition, analysis, synthesis, and decision logging. It integrates with Claude, Copilot, and Antigravity, and installs via a one-liner on macOS, Linux, and Windows. Unlike generic AI prompting, Think Better enforces disciplined reasoning by default. It's not a chat tool or a decision engine itself—it's a prompt enhancer that upgrades any compatible AI into a structured analyst. Best paired with strong LLMs for high-stakes decisions.
Behind the Verdict
Think Better solves a real problem: AI models give confident-sounding but shallow advice, especially on complex decisions. By injecting methods like MECE trees and bias warnings, it nudges the AI—and you—toward more rigorous thinking. The BM25 search engine over an embedded framework database is clever, turning the tool into a portable reference you can query offline. Where it shines: structured decision-making with clear steps, especially for technical or business analysis. The workspace output (a set of markdown files) is practical for documentation and review. Installation is trivial, and the binary is tiny. Where it falls short: it's purely CLI, which will deter non-developers. It only works with three AI assistants: Claude, Copilot, and Antigravity. No support for ChatGPT, Gemini, or local models. The frameworks are fixed—you can't add custom ones without editing the CSV. There's no web UI or collaborative features. Compared to traditional decision tools (like Miro or Lucidchart templates), Think Better is lighter and more systematic but lacks visual mapping. Against prompt engineering libraries (like LangChain's prompt templates), it's more opinionated and domain-specific. For casual use, it may be overkill. The open-source license (MIT) and offline-first approach are strong pluses. But without a paid tier or enterprise support, long-term viability depends on community contributions. Bottom line: if you're a developer or technical leader who lives in the terminal and wants AI to think harder, install it. For everyone else, the friction may outweigh the benefit.
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Use Cases
- Diagnose a 20% revenue drop using /solve.deep with RCA and MECE trees
- Evaluate a risky architecture change with a Pre-Mortem framework
- Avoid confirmation bias when reviewing product roadmap decisions
- Prepare a board-level briefing with /solve.exec for structured analysis
- Quickly scan a new problem in 15 seconds using /solve.quick
Limitations
- No web or mobile UI; requires terminal comfort.
- The embedded database may not cover every niche framework.
- No API for programmatic integration.
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