robots.txt Generator Showdown 2026: 12 Tools Ranked

By The Skitrate Machine 2026-06-22 17 min read

We tested 12 robots.txt generator tools across three weeks in June 2026, scoring each on AI crawler presets, syntax validity, sitemap and llms.txt output, and price. The headline finding: the category split in two. Roughly half of these tools still produce a basic User-agent and Disallow block the way they did in 2018, while the other half now ship presets for GPTBot, ClaudeBot, and Applebot-Extended and treat crawl budget as a first-class concern. If you only need a file that blocks /admin/, almost any tool works. If you need to govern AI training crawlers without choking off the bots that drive AI search citations, the field narrows to four.

What a robots.txt generator actually does in 2026

A robots.txt generator is a tool that builds a robots.txt file, the plain-text instructions a website serves at its root to tell crawlers which paths they may and may not request. You pick one or more user-agents, add Allow and Disallow rules, optionally point to a sitemap, and the tool emits syntactically correct output you upload to your domain root. That core job has not changed since the Robots Exclusion Protocol was first proposed in 1994 and later standardized as RFC 9309 in 2022. What changed is everything around it.

The single most important thing to understand before you generate anything: robots.txt controls crawling, not indexing. Google's own documentation is explicit that a disallowed URL can still appear in search results if other pages link to it, because the directive stops the crawl, not the listing. To keep a page out of the index you need a noindex meta tag, password protection, or outright removal. A generator that markets itself as a way to "hide" pages from Google is selling a misunderstanding. The good tools say this on the page. The weak ones do not.

The modern generator also has to handle output that strict parsers will accept. As SE Ranking notes in its tool documentation, each directive must begin on a new line with only one parameter per line, and the file is useless unless it lives at the exact root path, for example https://your-site.com/robots.txt. A generator that lets you copy malformed multi-rule lines, or that does not remind you about root placement, will produce a file that silently fails. That is the baseline. The differentiation in 2026 sits one layer up, in how each tool treats the wave of AI crawlers that did not exist when most of these generators were first built. If you are weighing a build-it-yourself approach against a managed setup, our technical SEO team handles this exact configuration work for clients every week.

Why the category shifted from SEO utility to AI crawl control

For two decades, a robots.txt generator was a convenience. It saved you from memorizing the syntax for a file you edited once a year. The use cases were narrow and stable: block a staging server, keep crawlers out of faceted search URLs, point bots to the sitemap. Nobody built a business around it because nobody needed to. The shift that turned this into a competitive product category is the arrival of large-scale AI crawlers that fetch content to train models or to answer queries inside chat interfaces.

OpenAI's GPTBot, Anthropic's ClaudeBot, Apple's Applebot-Extended, Google's Google-Extended, and ByteDance's Bytespider all read robots.txt to decide whether they may access your content. That created a new decision that every site owner now has to make: do you want your pages used as AI training data, and separately, do you want your pages eligible to be cited inside AI search answers? Those are two different questions with two different bots, and conflating them is the most common mistake we saw.

The market responded fast. AI Rank Lab now frames its robots.txt generator around "block bots and save budget", positioning the file as a crawl-budget instrument rather than a privacy tool. Taskade went further, claiming its 2026 generator produces robots.txt, sitemap.xml, and llms.txt from a single prompt, powered by what it describes as 15-plus frontier models from OpenAI, Anthropic, and Google. SEOJuice ships presets that block training crawlers while leaving search and fetch bots allowed. This is the through-line of the whole comparison: the tools that recognized the AI crawler problem and built UI for it are pulling away from the ones that did not. For teams thinking about how AI answer engines surface their content, that distinction overlaps heavily with the work we cover under answer engine optimization.

The 12 robots.txt generators we compared

We evaluated standalone web generators, WordPress plugins that ship robots.txt editors, and platform tools that validate or test the file as part of a wider audit. We grouped them because in practice teams mix them: a marketer generates the file in a free web tool, a developer commits it, and an audit platform flags regressions later. The table below scores each across the dimensions that actually separate them in 2026. "AI crawler presets" means the tool offers one-click rules for named AI bots rather than forcing you to type them. "Output" notes whether the tool generates only robots.txt or also sitemap.xml and llms.txt. "Live validation" means the tool checks syntax or tests rules against URLs before you ship.

Two patterns jump out. First, the dedicated AI tools (Taskade, AI Rank Lab, SEOJuice) own the AI crawler column, while the established SEO platforms (Semrush, Screaming Frog, Google Search Console) own validation but ignore AI presets entirely. Second, output breadth is now a real differentiator: Taskade is the only tool in our set that generates llms.txt alongside robots.txt and sitemap.xml, which matters if you are trying to manage both crawling and AI discovery from one place. The free web generators are interchangeable for basic files, so the choice between them comes down to which one reminds you about root placement and which one quietly lets you ship a broken file.

Pricing: what each tool actually costs in 2026

The pricing story for robots.txt generators is unusual because the core function is free almost everywhere. Generating a file costs nothing in most of these tools. What you pay for is the platform wrapped around it: recurring audits that catch when someone disallows the whole site by accident, crawl testing at scale, or the broader SEO suite the generator is bundled into. The table below lists current entry prices as of June 2026. Where the standalone generator is genuinely free with no gate, we say so, because for many teams the free tier is all they will ever need.

The takeaway: do not pay for a robots.txt generator as a standalone purchase, because the generation itself is a commodity. You pay for the surrounding value. If you run a WordPress site, the editor inside the free Yoast or Rank Math plugin covers you. If you manage many sites or run frequent structural changes, the recurring validation in Semrush at $139.95 a month or a Screaming Frog license at GBP 199 a year earns its cost by catching the disallow-everything mistake before it tanks your traffic. The dedicated AI generators sit in the free-to-cheap band, which is exactly where a single-purpose tool should be priced.

Benchmarks: how the tools performed in testing

We ran three tests on each generator. First, syntax validity: we generated a rule set blocking /admin/ and /checkout/ while allowing /checkout/confirmation/, then validated the output against the parsing rules in the official protocol. Second, AI crawler coverage: we checked whether the tool offered named presets for the eight most active AI crawlers. Third, validation accuracy: for tools that test rules against URLs, we checked whether they correctly resolved the Allow-over-Disallow precedence that trips up hand-written files.

On syntax, SE Ranking, TechnicalSEO.com, and Screaming Frog produced clean, strict output every time, consistent with SE Ranking's stated rule that each directive gets its own line with one parameter. The free web generators that let you paste freeform rules were more permissive and occasionally produced lines a strict parser would reject. On AI crawler coverage, SEOJuice and Taskade led, with SEOJuice shipping the most precise separation between training bots and search bots. On validation accuracy, Google Search Console's robots.txt report and TechnicalSEO.com's tester were the only tools that consistently resolved Allow precedence correctly against live URLs, which is why we still recommend testing in one of those two regardless of where you generate the file.

In its July 2024 analysis of automated traffic, Cloudflare reported that AI crawlers including Bytespider, GPTBot, and ClaudeBot were among the most active automated visitors across its network, and that many site owners wanted a single switch to block them. That demand is exactly what the AI-era generators are built to serve.

The benchmark conclusion is that generation and validation are different jobs handled best by different tools. The strongest workflow we found does not live inside any single product. It generates in an AI-aware tool such as SEOJuice or Taskade, then validates in Google Search Console or the Merkle tester before shipping. No tool in our set did both jobs at the top of the class, which is worth knowing before you commit to one product expecting it to cover the full loop.

Syntax and output quality: where files break

The quietest way a robots.txt generator fails is by producing output that looks right and parses wrong. We saw several recurring defects across the weaker tools, and any one of them can neutralize your rules. Strict crawler parsers do not guess your intent. They follow the literal file, so a small formatting error becomes a real access decision. These are the syntax issues we tracked, in rough order of how often they caused a problem in testing:

• Multiple parameters on one line, for example combining a user-agent and a disallow path, which SE Ranking explicitly warns against and which most parsers reject.
• Missing the leading slash on a path, so Disallow: admin instead of Disallow: /admin/, which changes what the rule matches.
• Trailing comments appended to directive lines in formats some older crawlers mishandle.
• Case and spacing inconsistencies in user-agent tokens, where GPTBot and Gptbot are treated differently by some parsers.
• An empty Disallow: line intended to allow everything, which is correct, placed where a generator instead wrote Disallow: / and blocked the whole site.
• Forgetting the absolute sitemap URL, since the Sitemap: directive requires a full URL, not a relative path.
• Wildcard misuse, where * and $ pattern matching is supported by Google but not by every crawler, so over-reliance on wildcards produces inconsistent behavior across bots.

The generators that prevented these by construction were SE Ranking, TechnicalSEO.com, and the WordPress plugins, all of which constrain how you enter rules. The freeform web tools were more likely to let a defect through. Delante's guidance helps here because it recommends adding sitemap links and bot-specific rules before placing the file in the root, which nudges you toward a complete file rather than a bare disallow. The lesson is structural: prefer a generator that constrains input over one that accepts anything, because constraint is what prevents the silent failures that no one notices until traffic drops.

AI crawler control: blocking the right bots

This is the section that determines which generator you should actually use in 2026, because it is where the tools diverge most. The core problem is that "AI bots" are not one category. There are training crawlers that fetch your content to build or update models, and there are search and fetch bots that retrieve your pages to cite them inside AI answers. Block the wrong group and you either feed your content to training corpora you wanted to opt out of, or you make yourself invisible to the AI search surfaces that increasingly drive referral traffic.

SEOJuice publishes the clearest worked example of the distinction. Its sample configuration blocks GPTBot, ClaudeBot, and Applebot-Extended while leaving search and fetch bots such as OAI-SearchBot, ChatGPT-User, and PerplexityBot allowed. That pattern lets you decline training use while staying eligible for citations in ChatGPT search, Perplexity, and similar tools. Whether that is the right call depends entirely on your strategy, and the better generators present it as a choice rather than a default. Here are the AI user-agents we recommend deciding on explicitly:

• GPTBot (OpenAI training crawler) documented in OpenAI's bot documentation.
• OAI-SearchBot and ChatGPT-User, the OpenAI bots that power search results and user-initiated fetches.
• ClaudeBot and related Anthropic crawlers.
• Google-Extended, the token that controls Gemini and Vertex AI training use separately from Googlebot.
• Applebot-Extended, which governs Apple Intelligence training use distinct from the standard Applebot.
• PerplexityBot and Perplexity-User, which retrieve and cite pages.
• Bytespider, ByteDance's crawler, which has been among the most aggressive in volume.
• CCBot, the Common Crawl bot whose archive feeds many downstream models.

The practical guidance: block training crawlers if you do not want your content in model corpora, but be deliberate about leaving search and fetch bots allowed if AI search visibility matters to you. A directory of crawler user-agents such as Dark Visitors is worth bookmarking because the list changes often, and a generator that has not updated its presets in six months is already behind. This is the part of the file that now needs the quarterly review SEOJuice recommends, and it overlaps directly with broader AI visibility strategy.

Crawl budget: the case for blocking more

AI Rank Lab's "block bots and save budget" pitch points at a real problem that has grown sharper since 2024. Crawl budget is the number of pages a crawler will fetch from your site in a given window. For small sites it is effectively unlimited and not worth thinking about. For large sites, ecommerce catalogs, marketplaces, and anything with faceted navigation, crawl budget is a genuine constraint, and aggressive AI crawlers fetching low-value URLs can consume it without returning anything to you.

The robots.txt file is the bluntest and most reliable instrument for protecting that budget. By disallowing crawler access to parameterized URLs, internal search results, infinite filter combinations, and other low-value paths, you steer the crawl toward pages that matter. AI Rank Lab's workflow reflects this: choose a user-agent, add disallow rules such as /admin/ or /checkout/, optionally add allow rules, enter a sitemap URL, and copy the file to the root. The crawl-budget framing is what makes this more than a privacy exercise.

Google's guidance is consistent on this point: robots.txt is for managing crawler traffic and avoiding overloading your server with requests, not for hiding content. As Google Search Central states, it is not a mechanism for keeping a web page out of Google, and a disallowed page can still be indexed if it is linked from elsewhere.

So the budget play is about efficiency, not concealment. When you should reach for it: when Google Search Console shows crawl stats dominated by low-value URLs, when server logs show AI crawlers hammering parameter pages, or when a large site is not getting its important pages crawled often enough. SEOJuice's review trigger applies here too. Review robots.txt whenever the site changes structure, launches a staging environment, or shows crawl-budget issues in Search Console, with a quarterly check sufficient for most sites. For high-traffic stores, our ecommerce SEO work treats crawl budget as a recurring line item rather than a one-time fix.

Sitemap and llms.txt: output beyond robots.txt

The clearest signal of where this category is heading is that the leading tools no longer generate only robots.txt. They generate the surrounding files that crawlers and AI systems use to navigate your site. Taskade's claim that it produces robots.txt, sitemap.xml, and llms.txt from a single prompt is the furthest expression of this, and even tools that do not generate llms.txt now prompt you to include the sitemap link inside robots.txt, as Delante recommends.

The three files do different jobs. The robots.txt file controls crawler access. The sitemap.xml file lists the URLs you want crawled and indexed, with metadata about update frequency and priority, and linking to it from robots.txt is a long-standing best practice. The llms.txt file is newer and less settled: it is a proposed standard for giving AI systems a curated, markdown-formatted guide to your most important content, intended to help models find and represent your site accurately. Adoption is uneven and no major AI provider has committed to honoring it as a hard standard, so treat llms.txt as optional and forward-looking rather than required.

What this means for tool selection: if you want to manage all three files from one place, Taskade is currently the only generator in our set that does it, which is a real convenience for a small team that does not want three workflows. If you already have a sitemap from your CMS or from Yoast or Rank Math, you do not need a generator to make one, and you should simply reference its absolute URL inside robots.txt. The risk to watch is over-trusting AI-generated output across all three files at once. A generator that builds robots.txt, sitemap.xml, and llms.txt from a single prompt is convenient, but each file still needs a human check before it ships, because an error propagated across three files is three times the cleanup.

Best for: matching a tool to your situation

The right robots.txt generator depends entirely on what you are protecting and who is doing the work. After testing, these are the specific recommendations we stand behind, each tied to a concrete situation rather than a generic ranking. There is no single winner across all of them, which is the honest answer to "which tool should I use."

• WordPress site, non-technical marketer: use the robots.txt editor inside the free Yoast SEO or Rank Math plugin. You are already in the dashboard, the editor constrains syntax, and you avoid a separate upload step entirely.
• You want to govern AI crawlers precisely: use SEOJuice, because it ships the clearest separation between training bots you block and search bots you allow, with sample configurations you can reason about.
• You want robots.txt, sitemap, and llms.txt in one pass: use Taskade, the only tool in our set that generates all three, accepting that you will review each output by hand.
• Large site with crawl-budget pressure: use AI Rank Lab to build the file around budget protection, then validate the precedence of your allow and disallow rules in Google Search Console.
• Agency or consultant managing many sites: generate wherever is convenient, but standardize validation on Screaming Frog or Semrush so regressions across the portfolio get caught on a schedule rather than by accident.
• You are editing an existing file, not starting fresh: use Incrementors, which lets you paste a domain URL to pull and edit the current file before downloading the result.
• You only need to verify what Google actually sees: skip generation entirely and use the Google Search Console robots.txt report, which shows the fetched file and lets you test specific URLs against it.

Notice that four of these seven recommendations are not the same tool. That is the central finding of this comparison. The question is not which generator is best in the abstract. It is which generator fits your stack, your skill level, and the specific risk you are trying to manage. A solo founder on WordPress and a technical SEO team running a million-URL marketplace should not use the same tool, and the marketing that implies one product covers both is selling you something. If you want help mapping the right setup to your stack, our SEO services page is the place to start.

Expert perspective on robots.txt in the AI era

The people who maintain and study the protocol are consistent on a few points worth internalizing before you generate anything. The first is precedence and intent. Google's Search Relations team, including analysts like John Mueller and Gary Illyes, has repeatedly stressed in public guidance that robots.txt is a crawl-control file and that conflating it with indexing control leads to predictable mistakes. The documentation's framing, that disallowing a URL does not remove it from the index, is the single most cited correction in the SEO community for a reason.

The second theme is that the AI crawler question is now a strategy decision, not a technical one. The technical part, writing a disallow rule for GPTBot, takes one line. The hard part is deciding whether to write it, because blocking training crawlers and blocking search crawlers have opposite effects on AI search visibility. Practitioners who have studied AI referral traffic increasingly argue that a blanket block of everything with "AI" or "GPT" in the name is a mistake, because it can cut off the OAI-SearchBot and PerplexityBot fetches that produce citations and clicks.

The third theme is operational discipline. SEOJuice's recommendation that most sites review robots.txt quarterly, and immediately after structural changes or staging launches, reflects a broader consensus that the file is no longer set-and-forget. The crawler landscape changes monthly, new AI bots appear, and a file written in 2024 may be allowing or blocking the wrong things in 2026. A robots.txt generator that has not refreshed its presets to match the current bot landscape is, in effect, giving outdated advice, and the burden falls on you to verify. The reasonable posture is to treat any generator's defaults as a starting draft, confirm the current user-agent list against a maintained directory, and validate the final file against live URLs before you ship it.

Pros and cons of the leading approaches

Rather than rank a single winner, it is more useful to weigh the three approaches we tested: free standalone web generators, CMS plugin editors, and platform validation tools. Most teams end up using a combination, so understanding the trade-offs of each matters more than picking one. Here is the honest accounting.

Free standalone web generators (SE Ranking, AI Rank Lab, SEOJuice, Taskade, Delante, Incrementors). Pros: zero cost, fast, no install, and the AI-focused ones offer the best crawler presets in the market. Taskade extends to sitemap and llms.txt. Cons: output quality varies, the weaker tools allow malformed lines, none of them validate rule precedence against your live URLs, and you still have to upload the file yourself. You are trusting a tool you do not control to shape a file that governs your crawl.

CMS plugin editors (Yoast, Rank Math). Pros: integrated into the dashboard you already use, syntax is constrained so you cannot easily break it, no separate upload, and changes are immediate. Cons: WordPress-only, limited AI crawler presets, and the convenience can encourage edits without testing. The editor will happily let you disallow your whole site with two characters.

Platform validation tools (Google Search Console, Screaming Frog, Semrush, TechnicalSEO.com). Pros: they catch the errors the generators miss, they test rules against real URLs, and the paid ones run on a schedule so regressions surface fast. Cons: most do not generate the file at all, the strongest ones cost money, and Search Console only tells you what Google sees, not how other crawlers parse the file. They are the safety net, not the workbench. The takeaway is that the generator and the validator are different tools, and a mature workflow uses both. Treating any single product as the complete answer is where teams get burned.

Migration considerations when you switch tools

Moving from one robots.txt approach to another, for example from a hand-edited file to a generator, or from a plugin editor to a platform-managed workflow, is low-risk if you plan it and high-risk if you do not. The file is small but its blast radius is your entire crawlable surface. A single bad disallow can deindex a site over weeks. These are the considerations we tell teams to work through before changing anything:

• Snapshot the current file first. Save the exact contents of your live /robots.txt before you touch anything, so you have a known-good rollback if the new file behaves unexpectedly.
• Diff the new file against the old one rule by rule. Do not assume a generator reproduces your intent. Confirm every existing disallow is preserved or intentionally removed, and that no new blanket rule slipped in.
• Verify root placement on the new host or CDN. The file must be served at the exact root, as SE Ranking stresses. A migration to a new platform or CDN can change how the root path is served, and a file at the wrong path is ignored.
• Re-check AI crawler rules against the current bot list. If the old file blocked or allowed AI bots, confirm the user-agent tokens still match current crawler names, since these change and a stale token silently does nothing.
• Confirm the sitemap reference still resolves. If you changed domains or sitemap structure, the Sitemap: directive must point to the new absolute URL.
• Test rule precedence against real URLs. Run your most important URLs through the Google Search Console robots.txt report or the Merkle tester to confirm allow-over-disallow resolves the way you expect.
• Stage before production. If you can, serve the new file on a staging environment and crawl it with Screaming Frog before it goes live, so you see the access decisions before real crawlers do.

The recurring theme is that robots.txt migration failures are almost always silent. Nothing throws an error. The file just blocks or allows the wrong thing, and you find out when traffic moves. Treating the change with the same rigor as a database migration, with a snapshot, a diff, a test, and a rollback plan, is the difference between a non-event and a recovery project. Teams that run frequent platform changes often fold this into their technical SEO retainer precisely because the failure mode is so quiet.

Common robots.txt mistakes the generators do not prevent

A generator produces a syntactically valid file. It does not produce a strategically correct one, and the gap between those two is where most damage happens. These are the mistakes we see most often, none of which a generator will stop you from making, because they are decisions, not syntax errors. Each one is recoverable, but the recovery costs time and rankings.

• Using robots.txt to hide private pages. Disallowing a URL does not keep it out of search results and can even advertise its existence. Sensitive pages need authentication or noindex, full stop.
• Disallowing CSS and JavaScript. Blocking the resources Google needs to render a page can hurt how it understands and ranks that page. Modern crawlers want to render, not just read.
• Blocking the whole site after a redesign. A staging file with Disallow: / pushed to production is one of the most common catastrophic SEO errors, and it is invisible until rankings collapse.
• Blanket-blocking every AI bot. Cutting off OAI-SearchBot, PerplexityBot, and similar fetch bots alongside the training crawlers can remove you from AI search citations you would have wanted.
• Forgetting the file after a structural change. A robots.txt written for an old URL structure can block new important sections or allow old junk, which is why the quarterly and post-change review matters.
• Assuming all crawlers obey it. Well-behaved bots honor robots.txt, but it is a request, not enforcement. Malicious scrapers ignore it, so it is not a security control.

The defense against all of these is the same: treat the generated file as a draft that a human reviews against strategy, then validates against live URLs. The tools that flag CSS and JS blocks, like Semrush Site Audit and Screaming Frog, add real value here precisely because they catch the strategic mistakes a pure generator cannot. If you want a structured way to pressure-test your setup, our AI visibility audit covers exactly these failure modes alongside the broader crawl picture.

The verdict: which robots.txt generator wins in 2026

There is no single winner, and any comparison that names one is oversimplifying a market that has split into specialties. That said, the data supports clear picks by situation. For AI crawler governance, the most important new job this category does, SEOJuice is the strongest standalone tool because it ships the clearest, most current separation between training bots you block and search bots you keep. For teams that want robots.txt, sitemap.xml, and llms.txt from one workflow, Taskade is the only option that does all three, with the caveat that you review each file. For WordPress sites, the free Yoast or Rank Math editor is the right answer because integration and constrained syntax beat a marginally better standalone tool.

For validation, which is a separate job no generator does well, Google Search Console's robots.txt report and the Merkle tester at TechnicalSEO.com are free and accurate, and Screaming Frog and Semrush add scheduled regression catching for teams managing many sites. The workflow we recommend is explicit: generate in an AI-aware tool, review against strategy by hand, then validate against live URLs in Search Console or Merkle before shipping. No product in our set does that full loop well, so stop looking for the one tool that does everything.

The deeper conclusion is that the robots.txt generator stopped being a convenience and became a control surface for how both search engines and AI systems access your content. The tools that recognized this and built UI for AI crawlers and crawl budget are pulling away from the ones still shipping the same basic file editor from 2018. Choosing well now means choosing for the AI crawler decision, not just the disallow syntax, because that decision is the one that affects whether your content trains models, gets cited in AI search, or both. The generators are cheap or free. The decisions they help you make are not, and that is where your attention belongs.

How to get started Monday morning

Here is the concrete sequence to run this week, not as theory but as steps you can execute in an hour. First, pull your current live file by visiting yourdomain.com/robots.txt and save the exact contents somewhere safe. This is your rollback. Second, open Google Search Console and read the robots.txt report to confirm what Google actually fetches, since it may differ from what you think is live. Third, check your server logs or Search Console crawl stats for which AI crawlers are hitting your site and how hard, so your decisions are grounded in real traffic rather than guesses.

Fourth, make the strategic call before you touch any generator: do you want to block AI training crawlers, and separately, do you want to stay open to AI search and fetch bots that produce citations. Write that decision down. Fifth, generate the new file in a tool that matches your stack. WordPress users open Yoast or Rank Math. Everyone else uses SEOJuice for precise AI bot control, or Taskade if you also want sitemap and llms.txt. Sixth, diff the new file against your saved original, rule by rule, and confirm nothing unintended changed, especially no stray Disallow: /.

Seventh, test your most important URLs against the new rules in the Google Search Console report or the Merkle tester, confirming that allow-over-disallow precedence resolves the way you intend. Eighth, ship the file to your exact root path and verify it loads. Ninth, put a quarterly reminder on the calendar to review it, plus an immediate review trigger for any structural change or staging launch. That sequence turns robots.txt from a file you forget about into a control you manage. If you would rather have a team own this end to end across crawling, AI visibility, and crawl budget, that is the work we do, and our full tools and resources page is a good next stop.

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