Think Better is live · free · last verified 6 Nov 2026 · viability monitor
Think Better
Open-source CLI that injects MECE, Issue Trees, and Pre-Mortems into AI prompts so your assistant reasons like a principal engineer.
A sharp, opinionated upgrade for anyone too familiar with lazy AI reasoning. The framework injection genuinely attacks the yes-man problem by pushing Sunk Cost, Confirmation, and Status Quo bias detectors into the prompt before the model answers, and the zero-dependency local Go binary is refreshing next to heavier AI tooling. The caveats are real: it's CLI-only, framework routing depends on BM25 keyword matching against 160 embedded records, and it targets Claude, Copilot, and Antigravity specifically. If you live in the terminal and make high-stakes architectural or product calls, it's a lean, bias-resistant enhancement. If you rely on ChatGPT or Gemini, or you want a GUI, general-purpose
Verdict generatedVerified 8d ago · liveness 66/100 · cite: rightaichoice.com/tools/think-better
- Software engineers making architectural decisions
- Product managers evaluating features or risks
- Engineering leads running pre-mortems
- Data analysts diagnosing root causes
- Non-technical users uncomfortable with a CLI
- Teams that need a graphical interface
- Users of ChatGPT or Gemini (unsupported assistants)
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Skip Think Better if you work in ChatGPT or Gemini rather than Claude, Copilot, or Antigravity, or if you need a graphical interface instead of a terminal command.
Think Better is open-source under MIT and distributed as a free 5MB Go binary, so there is no seat cost, no per-analysis fee, and no usage meter from the vendor. The real spend is indirect: tokens consumed by your Claude, Copilot, or Antigravity subscription, which scale with depth level — Executive at 2.5x burns the most, Quick at 0.5x the least.
In short
Think Better — Open-source CLI that injects MECE, Issue Trees, and Pre-Mortems into AI prompts so your assistant reasons like a principal engineer. Best for Software engineers making architectural decisions, Product managers evaluating features or risks, Engineering leads running pre-mortems. Free to use.
What is Think Better?
Think Better — Open-source CLI that injects MECE, Issue Trees, and Pre-Mortems into AI prompts so your assistant reasons like a principal engineer. Best for Software engineers making architectural decisions, Product managers evaluating features or risks, Engineering leads running pre-mortems. Free to use.
Think Better is an open-source CLI (MIT) that upgrades the AI assistant you already run in your terminal — currently Claude, Copilot, and Antigravity — by injecting decision-making frameworks into your prompts. Instead of a generic pros-and-cons list, you get a structured analyst-style plan: problem definition, decomposition, prioritization, analysis plan, findings, synthesis, recommendation, and bias warnings. The engine is a single 5MB Go 1.25 binary with zero dependencies — no Node, no Python, and 100% local execution. A BM25 keyword search scans 160 embedded best-practice records across 9 domains (trees, analysis toolkits, cognitive biases, impact-vs-effort prioritization, mental models, synthesis, communication, rules) to route your problem to the right framework. You can work two ways: describe the problem naturally and let the AI auto-select the skill and depth, or type slash commands like /solve.quick, /solve.deep, /solve.exec, /decide, and /make-decision for precise control. Four analysis depth levels scale the effort — Quick (0.5x, core only, ~15 sec), Standard (1.0x, default), Deep (1.7x, adds alternatives for high-stakes calls), and Executive (2.5x, maximum for board reports). It's built for software engineers, product managers, and engineering leads who live in the terminal and are tired of babysitting their AI. It is a prompt enhancer, not a chatbot: it supercharges compatible assistants but does not replace them.
Key features
- Injects MECE, Issue Trees, and Pre-Mortems into AI prompts
- Cognitive bias detectors: Sunk Cost, Confirmation, Status Quo, Anchoring
- BM25 keyword search over 160 embedded best-practice records
- 160 embedded records spanning 9 domains
- Natural language auto-detection of skill and analysis depth
- Slash commands: /solve, /solve.quick, /solve.deep, /solve.exec
- Decision commands: /make-decision, /decide, /decide.quick, /decide.deep, /decide.exec
- Skill alias /problem-solving-pro for standard analysis
- 4 analysis depth levels: Quick (0.5x), Standard (1.0x), Deep (1.7x), Executive (2.5x)
- Step-by-step markdown workspace exported per session
- Problem type classification and tree logic selection (e.g. Profitability Tree)
- 5-step pipeline: prompt, skill routing, DB search, intelligence engine, action plan
- Single 5MB Go 1.25 binary with zero dependencies
- 100% local execution, no cloud calls from the tool itself
- Cross-platform: macOS, Linux, Windows PowerShell
Behind the verdict
Think Better is best understood as a prompt-grammar layer, not a product with its own reasoning engine. It does not call a model itself; it changes the instructions your existing assistant receives so that the answer arrives as a decomposition (Price x Volume against Fixed/Variable costs, say), an analysis plan (Fermi Estimation for actual market size), and an explicit bias warning (Anchoring flagged during estimation) rather than a list of pros and cons. The mechanics are unusually simple for this category. The whole thing is a single 5MB Go 1.25 binary with no node_modules and no Python environment, installed via a curl/bash one-liner on macOS/Linux or a PowerShell irm/iex command on Windows, then wired to an assistant with `think-better init --ai claude`. Because execution is local and the framework library is embedded as CSV, you are not shipping your problem statement to another SaaS vendor — your assistant still sees the prompt, but Think Better itself adds no cloud round-trip. Where the design earns its keep is routing. A BM25 keyword search scans 160 embedded best-practice records across nine domains, and the 5-step pipeline goes prompt → skill routing → database search → intelligence engine → actionable plan. In the documented example, the query 'debug latency' scores 9.42 for the RCA Framework and 7.15 for the MECE Tree, and that match decides which analytical structure the assistant is told to follow. Problem-type classification and tree selection are explicit: a revenue question routes to a Profitability Tree, an opportunity is tagged Medium, and the engine flags cognitive risk before producing output. Control is the second strong point. You can let it infer ('Our revenue dropped 20%, analyze deeply' auto-detects problem-solving-pro at deep depth), or you can be surgical: /solve.quick for a 15-second scan, /solve for standard analysis, /solve.deep for all frameworks plus alternatives, /solve.exec for a board-level briefing, and the parallel decision set /decide.quick, /decide, /decide.deep, /decide.exec, plus /make-decision and /problem-solving-pro. The four depth multipliers — Quick at 0.5x, Standard at 1.0x, Deep at 1.7x, Executive at 2.5x — give you a crude but real cost dial: you spend tokens in proportion to how much you care about the answer. Output lands as a markdown directory you work through step by step, which fits version-controlled repos better than a chat transcript. The honest weaknesses. It is CLI-only; there is no graphical interface, and that is a deliberate trade, not an oversight. It supports three assistants by name — Claude, Copilot, Antigravity — so ChatGPT and Gemini users are out. Framework discovery is BM25 keyword matching over a fixed embedded library, which means quality tracks how well your phrasing maps onto one of those 160 records; a problem that doesn't match cleanly gets a weaker route. And it is a prompt enhancer, not a chatbot: it does not replace your assistant, it constrains it. The right
Models under the hood
as of 2026-11-07
Limitations
- Requires terminal comfort — it installs and runs from the command line (curl/bash on macOS/Linux, PowerShell on Windows) and wires into an assistant with `think-better init --ai claude`.
- It targets AI assistants such as Claude, Copilot, and Antigravity only.
- Framework discovery relies on BM25 keyword search over embedded CSV data, so results depend on your problem phrasing mapping cleanly to one of the 160 embedded best-practice records.
- Depth multipliers (Quick 0.5x through Executive 2.5x) change how much output you get, not a guarantee of quality.
- It is a prompt-enhancement tool, not a chatbot — it changes how your assistant reasons rather than replacing it, and its output is only as good as the model answering.
as of 2026-10-13
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Is Think Better still active?
Think Better is live · free · last verified 6 Nov 2026 · viability monitor.
Viability score
How well maintained and how widely used is Think Better? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: November 2026
How we score →What do users say about Think Better?
What people actually say about Think Better — is it worth it?
Our community sentiment research written Aug 11, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
How we verified this
Every listed fact about Think Better — pricing, features, links, status — is re-read from the vendor's own pages by our verification pipeline and each change is logged with a date; the last pass ran on 6 Nov 2026. Analysis is drafted with AI models and checked against our editorial standards before publishing; see how we verify.
Verification history
We have re-verified Think Better 13 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — changed SSL certificate
- — changed switching in, summary, limitations, use cases, switching out, our verdict, description, who should skip it, setup time, pricing fit, features
- — changed limitations
- — changed setup time, description, our verdict, features, integrations, limitations, switching in, switching out, who should skip it, pricing tiers, pricing fit, who it suits, summary, use cases
- — changed limitations
- — changed domain expiry, SSL certificate
Showing the 6 most recent of 13 verification passes.
Free to cite with attribution — this page re-verifies continuously.
How much does Think Better cost in 2026?
Think Better: Free to use. Pricing last verified 6 Nov 2026.
Plans compared
Every published Think Better tier, its price as the vendor publishes it, who it fits, and what it adds over the tier below. The 12-month cost projection follows.
| Plan | Price | Billing | Who it's for |
|---|---|---|---|
| Free | Free | — | Individual engineers, product managers, and analysts on Claude, Copilot, or Antigravity who make high-stakes calls from the terminalAdds: Starting tier: the entire framework library and all slash commands, released open-source under MIT at no cost |
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Think Better's pricing actually pencils out — and where peers do it cheaper.
Think Better is open-source under MIT and distributed as a free 5MB Go binary, so there is no seat cost, no per-analysis fee, and no usage meter from the vendor. The real spend is indirect: tokens consumed by your Claude, Copilot, or Antigravity subscription, which scale with depth level — Executive at 2.5x burns the most, Quick at 0.5x the least.
Has Think Better's pricing changed?
No plan price for Think Better has moved since we began logging in Aug 2026; the pricing page is re-read on every verification pass.
Who should pick Think Better?
Pick Think Better if you are Software engineers making architectural decisions, Product managers evaluating features or risks, Engineering leads running pre-mortems, Data analysts diagnosing root causes.
Look elsewhere if you are Non-technical users uncomfortable with a CLI, Teams that need a graphical interface, Users of ChatGPT or Gemini (unsupported assistants).
Skip it if Skip Think Better if you work in ChatGPT or Gemini rather than Claude, Copilot, or Antigravity, or if you need a graphical interface instead of a terminal command.
GeneratedReal-world workflow fit
Concrete scenarios for the personas Think Better actually fits — and what changes day-one when you adopt it.
Installs via the curl/bash one-liner, runs `think-better init --ai claude`, then types /solve.deep with the migration plan and constraints. The BM25 search routes the problem to tree and analysis records, and the engine flags Anchoring before writing the plan.
Outcome: A markdown workspace containing a Pre-Mortem, decomposition, and explicit bias warnings instead of a flat recommendation, reviewable in the repo alongside the design doc.
Describes the trade-off conversationally and lets the assistant auto-select the skill, then re-runs it as /decide.deep to force criteria-based comparison with weighted analysis.
Outcome: A criteria table with alternatives surfaced at 1.7x depth, plus confirmation-bias detection on the rationale the PM already preferred.
Runs /solve.exec at 2.5x depth on the quarter's revenue shortfall, using a Profitability Tree to map Price x Volume against Fixed/Variable costs.
Outcome: A maximum-depth written plan with a Fermi Estimation step for market size and a structured recommendation suitable for the board pack.
Use cases
- Diagnose a 20% revenue drop using /solve.deep with RCA and profitability trees
- Run a Pre-Mortem before a risky architecture change
- Flag confirmation bias when reviewing a product roadmap decision
- Prepare a board-level briefing with /solve.exec at 2.5x depth
- Get a 15-second core-only scan of a new problem with /solve.quick
- Force a binary choice into criteria-based analysis with /decide.deep
Setup time & first value
How long it actually takes to get something useful out of Think Better — broken out by persona, not the marketing-page minute.
Under five minutes for a terminal-comfortable engineer: one curl/bash line on macOS/Linux (or irm/iex in PowerShell on Windows) installs the 5MB Go binary, then `think-better init --ai claude` wires it to your assistant. First useful output arrives on the next prompt. Non-CLI users should budget substantially longer, since everything runs from the command line.
Switching to or from Think Better
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ad-hoc ChatGPT prompts: run `think-better init --ai claude` and move the same questions through /solve so frameworks and bias checks are applied automatically
- →From a personal prompt library or CLAUDE.md snippets: replace hand-maintained templates with slash commands like /solve.deep and /decide.deep
- →From no structured process: start with /solve.quick for a 15-second scan, then escalate to /solve.deep only for high-stakes calls
- ↗To a chat-based AI assistant: copy your prompt templates over, but you lose the embedded 160-record framework library and BM25 routing
- ↗To a custom agent or framework: re-implement the MECE, Issue Tree, and Pre-Mortem scaffolding yourself, since Think Better ships as a Go CLI rather than a library you import
Resources & guides
Tutorials & Learning
YouTube returned 6 videos for “Think Better”, and we withheld 5: 5 did not mention Think Better. Showing the 1 we can prove is about Think Better.
Official links
What are the best Think Better alternatives?
The closest alternatives to Think Better we list are Taste Skill, Tabby and Ui Ux Pro Max Skill. Ranked by direct product-type match, not category overlap.
| Alternative | Pricing | Starts at | Last verified |
|---|---|---|---|
| Taste Skill | Free | Free | — |
| Tabby | Freemium | Pricing not published | — |
| Ui Ux Pro Max Skill | Free | Free | — |
Alternatives to Think Better
View allTaste Skill
Open-source SKILL.md rules that stop AI coding agents shipping generic frontend UI
Tabby
Open-source, self-hosted AI code completion with an in-IDE answer engine, inline chat, and the Pochi agent
Ui Ux Pro Max Skill
Free open-source design-intelligence skill that feeds UI styles, palettes, fonts, and chart rules into Claude Code, Cursor, and other AI coding assistants.
Tools that pair well with Think Better
Common stack mates teams adopt alongside Think Better, with the specific reason each pairing earns its keep.
Taste Skill
Open-source SKILL.md rules that stop AI coding agents shipping generic frontend UI
Tabby
Open-source, self-hosted AI code completion with an in-IDE answer engine, inline chat, and the Pochi agent
Ui Ux Pro Max Skill
Free open-source design-intelligence skill that feeds UI styles, palettes, fonts, and chart rules into Claude Code, Cursor, and other AI coding assistants.
Think Better vs its closest rival
Think Better's closest head-to-head is with Surge Ai.
Our Think Better vs Surge Ai verdict written Jul 3, 2026 is more than 90 days old, so it is being re-reviewed against current data and is not shown.
Frequently asked questions
For makers of Think Better
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