Zapier

Zapier AI

Zapier AI

Zapier AI

Zapier AI

Zapier AI

Zapier AI

Zapier AI

Zapier AI

Zapier AI

Zapier AI

What SEO tasks are you successfully automating with AI tools or AI agents?

I’ve been exploring how AI tools and AI agents can actually reduce manual SEO work beyond just basic content generation. Curious to know from people actively working in SEO: Which SEO tasks are you automating right now? What workflows are giving you the biggest time savings? Are you using simple AI tools, custom GPTs, Claude workflows, Zapier/Make automations, or fully autonomous agents? Which tasks still need heavy human involvement? Some areas I’m personally thinking about: Keyword clustering Topical map generation Internal linking suggestions Technical SEO audits Schema generation Content briefs Programmatic SEO Competitor analysis EEAT optimization GEO / AI search optimization Reporting & client updates Local SEO tasks Would love to hear: Real use cases Stack/tools you use What works vs what sounds good in theory Things you tried that completely failed Trying to understand where AI genuinely improves SEO workflows and where humans still outperform automation. submitted by /u/mousamkourav [link] [comments]

Claude for Small Business launched this week with 8 integrations. Most SMBs use 20+. What does that mean for the rest of the stack?

Anthropic launched Claude for Small Business on Tuesday. The package includes 15 prebuilt agentic workflows and 8 named integrations: Intuit QuickBooks, PayPal, HubSpot, Canva, DocuSign, Google Workspace, Microsoft 365, and Slack. The workflows handle things like invoice chasing, payroll planning, month-end close, sales campaigns, contract routing, and cash-flow forecasting. Owners approve before anything sends or pays. The basic facts are not in dispute. What's interesting is the math. Most small businesses use more than 8 tools. The common ones not on that list: Shopify, Stripe, Square, Klaviyo, Mailchimp, ActiveCampaign, ConvertKit, Pipedrive, GoHighLevel, Calendly, Notion, Airtable, ClickUp, Webflow, Zapier. Then vertical-specific tools: ServiceTitan, Jobber, Housecall Pro for trades. Kajabi, Teachable, Circle for creators. Toast, Resy, OpenTable for restaurants. Etsy, Faire, Printify for makers. Real question worth asking: how much of a typical small business stack does the 8-tool package actually cover, and which kinds of businesses are well-served versus left out? A rough walk through some common archetypes: Office-based service business (consultants, accountants, agencies, B2B services). Coverage is decent. Most are on Google Workspace or Microsoft 365, run finance through QuickBooks, communicate via Slack, and many use HubSpot. The 8 tools probably hit most of the core stack for this group. E-commerce or DTC brand. Coverage is thin. Shopify isn't there. Stripe isn't there. Klaviyo isn't there. The actual revenue stack of an online store is mostly outside the covered set. Local trades (HVAC, plumbing, insulation, electrical, landscaping). Coverage is essentially absent. The operating systems for these businesses are ServiceTitan, Jobber, Housecall Pro, Square for payments, sometimes QuickBooks for accounting on the back end. The customer-facing and operational tools are not on the list. Creators, coaches, course sellers. Coverage is absent. Kajabi, ConvertKit, Teachable, Circle, Substack. None of it is in the package. Restaurants and hospitality. Coverage is absent. Toast, Square POS, Resy, OpenTable, Toast Payroll. The actual operating systems are not on the list. A few patterns emerge from that walk. First, the package targets a specific kind of small business. Office-based, white-collar, finance running through QuickBooks, meetings on Google or Microsoft, sales through HubSpot. That is a real segment. Anthropic chose it deliberately and the workflows make sense for that profile. Second, for everyone else, the prebuilt workflows mostly don't touch the tools they actually use day to day. The choice isn't "use Claude for Small Business or not." It's "AI in my operations, yes, but via custom work outside this package." That's not a complaint about the launch. Building 8 polished integrations is hard and Anthropic had to pick. It's more an observation that "Claude for Small Business" as a category name covers a wider universe than what the package actually addresses on day one. Curious how this lines up with what people are actually running. If you operate a small business, how many of the 8 covered tools are in your stack? And what's NOT on that list that you'd most want connected to an AI agent? submitted by /u/KolioMandrata [link] [comments]

Tool/connector schemas leaking into user message stream. Anyone else seeing this?

Posting to see if anyone else has hit this and figured out a fix. For about a week, my Claude Chat conversations (opus 4.7) have been showing what looks like tool-registration leakage at the end of every user message I send. It started as simple tool declarations, escalated to full function schemas with parameter docs, and then began including userStyle content alongside the tool blocks. What I've tested: Starting a new thread: No fix. The leak follows across thread boundaries on the same account. Turning userStyle off: Removes the userStyle component cleanly. The function-schema component continues. Disconnecting all my MCP connectors: Did NOT stop the function-schema leak. After disconnecting, the leak switched to dumping schemas of Anthropic's first-party available connectors (Atlassian, Cloudflare, Notion, Stripe, Vercel, Zapier) — services I have never used, set up, or connected. These appear to be platform-default available connectors rather than anything tied to my account. Other threads on the same account: A separate parallel thread does NOT show the leak. Suggests it's session-state-dependent at some level, not purely account-wide. The leak appears to be in the platform's tool/connector registration layer, not at the user-controllable connector layer. I have no apparent control surface for stopping the function-schema component. This doesn't impact Claude Code or existing (long-running) Opus 4.6 chat threads. Bug report to Anthropic via email. No response or fix. Questions for the community: Has anyone else seen this? Is it widespread or just me? If you've seen it, what does your payload look like? (Userstyle leakage, function schemas, both, neither?) Has anyone found a user-side fix or workaround? Has anyone gotten an actual response from Anthropic on this? The token cost is non-trivial across long conversations. I'd love to know if this is a known issue or if I should escalate further. submitted by /u/Fluorine3 [link] [comments]

What Claude tips and tricks that you found out over time would you have wished to know about from day 1? What are the must-know resources/steps to be productive with Claude when starting out?

I'm just starting out with Claude and feel a bit overwhelmed. I want to use it for personal and business productivity / organisation matters, copywriting, some design and some coding (Zapier, Website) After knowing more about it / having used it for longer, what would you have wished for to know from day one to fully unlock Claudes potential? What are the best resources (websites, tutorials, videos) for you to enhance your knowledge about Claude and its abilities? submitted by /u/Poldi1 [link] [comments]

I think I'm slowly building unlimited employees

Dramatic title, I know, but I mean it in a pretty practical way. I have been going pretty deep on how I structure this stuff. Claude Code, Codex, Google Ads API, n8n, CRM, websites, meeting transcripts, all the boring parts. And honestly, the thing that keeps mattering more than I expected is folder structure. Which sounds boring. But I think that is the point. If Claude Code/Codex is going to be useful inside a business, it needs somewhere to work from. Otherwise it is just a blank chat with no memory and no real source of truth. The simple version of my setup is one folder/repo per business or client: client-name/ AGENTS.md CLAUDE.md connection.md meetings/ scripts/ outputs/ _agency-os/ 00-client-brief.md 01-recent-emails.md 02-recent-transcripts.md 03-open-actions.md 04-decisions-and-risks.md 05-metrics-summary.md 06-next-actions.md 07-activity-log.md 08-source-health.md .env AGENTS.md / CLAUDE.md is the operating manual. What the business does, what I am responsible for, what is out of scope, what the model can do by itself, what needs approval, what should be logged, what should never be touched. connection.md is the map. Google Ads customer ID, GA4, GTM, Search Console, Meta, CRM, CMS, website repo, Slack, n8n webhooks, whatever exists. Not the API keys. Those stay in .env. meetings/ is all the transcripts. This part is underrated. Meeting transcripts are basically long-term memory. If the model can read them, it can find old decisions, promises, objections, weird client preferences, stuff I would otherwise have to keep in my head. _agency-os/ is my generated current-state layer. Recent emails, recent transcripts, open actions, risks, metrics, source health. Mine started out mostly generated through Supabase/n8n, but lately I have been using Claude routines and Codex automations for a lot of the Gmail/context fetching. For most people I actually think that is the easier start: have it pull the latest emails or transcripts into the folder on a schedule, no database setup needed. You could even start manually with markdown files and still get most of the benefit. So I basically have a bunch of small operators around their stack. one checks if tracking broke one reads transcripts and finds open promises one looks at CRM lead quality one watches ad account changes one inspects the website or CMS one checks if n8n workflows are still doing what they should one reads API docs and helps build the integration One small example would be Shopify into a CRM. Basically: connect the Shopify API with the CRM API, map orders into contacts/organizations, and have the LLM help build the integration instead of paying a huge Zapier bill forever. But that only works well if the model knows where the CRM lives, what fields matter, what a customer/order should become, where the script belongs, where logs should go, and what it is allowed to change. That is why I don't really see this as a prompt thing anymore. A blank chat will freestyle. A structured workspace can read the context, inspect files, run scripts, compare outputs, and give you something that is actually tied to the business. So yeah, I think I am slowly building unlimited employees. Not employees in the human sense, obviously, but narrow operators with context, tools, and rules. Curious if anyone else here is building this way for their own business, job, project, or clients. Where are you keeping context right now? Local files, GitHub, Notion, Supabase, something else? And how far are you letting Claude Code/Codex go: read-only analysis, suggested changes, or actual write access with guardrails? submitted by /u/kaancata [link] [comments]

My simple workflow and stack brought big results. Why so much over-complicated noise with building apps?

I am a team of one in my small company and I’m building out internal tools without having any kind of education around development. I played with spreadsheets and Zapier and got far enough but now building what looks and feels like real software using mainly Cloudflare infrastructure and it’s working well. Just using Workers, ZeroTrust, and D1 for storage. My confusion is around my workflow and why it seems to be so different from everyone else’s while mine still remaining incredibly efficient and able to get new features launched in the web app within hours. 90% of the time, Claude codes it exactly right. The time is in the testing, and waiting for Claude. I don’t use Claude Code, I just use Projects in the webapp for the long term memory of what I want remembered, and then attach a partial zip of the codebase to ask questions against. Ya, I know I’m missing Claude updating files directly, but the copy-paste I don’t mind. I don’t use Claude Code, or CLI tools whatsoever, I purely work out of the Cloudflare IDE, and Claude Project UIs. I don’t have a traditional “Claude.md” file at all. I don’t use GitHub, or any kind of SDK, although I have AI API calls all throughout the webapp I’ve built. I see this stuff on social media of all these people running agents and other complex systems and I just don’t know if I’m missing something due to my simple approach or if I’m leaving something on the table. submitted by /u/Funny_Incident_5493 [link] [comments]

Read through Anthropic's 2026 agentic coding report, a few numbers that stuck with me

Anthropic put out an 18-page report on agentic coding trends. Skimmed it expecting the usual hype but a few things actually caught me off guard The biggest one: devs use AI in ~60% of work but only fully delegate 0-20% of tasks. So AI is less "autopilot" and more "really fast copilot that still needs you watching." Matches what I've been seeing the real gain is offloading the mechanical stuff, not entire features. Other things worth noting: 27% of AI-assisted work is stuff nobody would've done without AI. Not faster output — net new output. Internal tools, fixing minor annoyances, experiments you'd never prioritize manually Rakuten threw Claude Code at a 12.5M LOC codebase. 7 hours autonomous, single run, 99.9% accuracy. That's... not a toy demo anymore Anthropic's own legal team (zero coding experience) built tools that cut their review cycle from 2-3 days to 24h. Zapier hit 89% AI adoption across the whole company Multi-agent is the big bet for 2026. Not one agent doing everything, but specialized agents coordinated together. Makes sense if you've hit the wall with single-context-window limitations The part I appreciated: report doesn't pretend this replaces engineers. Their own internal research says the shift is toward reviewing and orchestrating, not handing things off completely. One of their engineers said something like "I use AI when I already know what the answer should look like" Anyway, worth a read if you're into this stuff: https://resources.anthropic.com/hubfs/2026%20Agentic%20Coding%20Trends%20Report.pdf Curious what others think especially the multi-agent stuff. Anyone actually running multi-agent setups in production? submitted by /u/lawnguyen123 [link] [comments]

I got tired of setting up automations on zapier and n8n. So Claudes Agent SDK to do it for me.

I used the Anthropic Agent SDK and honestly, Opus 4.5 is insanely good at tool calling. Like, really good. I spent a lot of time reading their "Building Effective Agents" blog post and one line really stuck with me: "the most successful implementations weren't using complex frameworks or specialized libraries. Instead, they were building with simple, composable patterns." So I wondered if i could apply this same logic to automations like Zapier and n8n? So I started thinking... I just wanted to connect my apps without watching a 30-minute tutorial. What if an AI agent just did this part for me? The agent takes plain English. Something like "When I get a new lead, ping me on Slack and add them to a spreadsheet." Then it breaks that down into trigger → actions, connects to your apps, and builds the workflow. Simple. It's not just prompting sonnet and hoping for the best. It actually runs each node, checks the output, fixes what breaks. By the time I see the workflow, it already works. Been using it for 2 months. It finally made this stuff make sense to me. Called it Summertime. Thinking about opening it up if anyone is interested in it. If you're building agents or just curious about practical use cases, happy to chat Try it yourself no cost: trysummertime.com submitted by /u/Sleek65 [link] [comments]

I built an MCP memory server that gives Claude Code persistent memory across sessions

I've been using Claude Code daily for about 6 months. The biggest friction: every session starts from scratch. I re-explain my architecture, re-describe preferences, re-share decisions from three sessions ago. CLAUDE.md helps, but it's manual, consumes tokens, and has no semantic search. You can't ask "what did I decide about the auth layer last week?" and get an answer. So I built an MCP memory server that fixes this. Built entirely with Claude Code over a few evenings — Claude wrote probably 80% of the Edge Function and SQL migration code. What it does: Stores "thoughts" — decisions, insights, people notes, project context Auto-extracts topics, people, dates, and action items Semantic search via pgvector — search by meaning, not keywords Works with Claude Code, Claude Desktop, Cursor, Windsurf, any MCP client The stack (all free tier): Supabase Postgres + pgvector (HNSW indexes) Deno Edge Function as the MCP server Embeddings via text-embedding-3-small (1536 dimensions) 5 capture channels: MCP tool calls, REST webhook, Slack+Zapier, browser bookmarklet, iOS Shortcut How Claude Code helped build it: The MCP SDK integration was the trickiest part — getting the tool definitions, transport layer, and Supabase client to play together in a Deno Edge Function. Claude Code handled the boilerplate and caught several gotchas with the MCP protocol (tool response format, error handling patterns). The pgvector similarity search function was also Claude-generated — I described what I wanted and it wrote the SQL with the cosine distance operator on the first try. Why this approach over simpler alternatives: Most MCP memory servers use SQLite or JSON files. Those work, but I wanted semantic search (not keyword matching) and cloud access from any machine. The pgvector piece is what makes it useful — I can search "that caching decision" and find the thought even if the word "caching" never appears in it. After a month of daily use: 100+ thoughts captured Stopped re-explaining project context in new sessions Architecture decisions from weeks ago surface in seconds Especially useful for complex multi-day projects The architecture is straightforward if you want to build your own — it's a Supabase table with a vector column, an embedding function, and an MCP tool wrapping capture + search. I also packaged it as a ready-to-deploy kit if you'd rather skip the setup: https://dashbuilds.dev/for/ai-developers Full blog post with the build story: https://dashbuilds.dev/blog/i-productized-my-ai-memory-server Happy to answer questions about the MCP setup, pgvector config, or how Claude Code helped with specific parts. submitted by /u/New-Wrongdoer2118 [link] [comments]

I built an open-source tool that reverse-engineers automation flows from screenshots

I kept screenshotting ManyChat flows from other creators… then spending 20 minutes trying to figure out how to actually rebuild them. So I built a Claude Code toolkit that does it for me. You screenshot any automation (ManyChat flow builder, DM conversations, GHL workflows, n8n, Make), and it outputs: strategy breakdown flow map step-by-step build instructions all message copy backend checklist (tags, fields, logic) It uses Claude’s native vision to read the screenshots — no OCR or third-party APIs. Just multimodal analysis + 8 reference files that map UI elements across platforms. Core skills: /flow-capture → screenshot in, rebuild guide out /flow-adapt → rewrite any flow for your business /flow-audit → 10-point diagnostic /flow-templates → 8 pre-built flow types plus: /flow-library, /flow-batch, /flow-export, /flow-setup Everything saves to Airtable so your flow library compounds over time. It’s free, MIT license. Only needs Claude Code + a free Airtable account. GitHub: github.com/seancrowe01/flow-heist Would love feedback — especially if anyone tries it on non-ManyChat platforms. (I’ve tested ManyChat the most so far, but the reference files also cover GHL, n8n, Make, and Zapier.) submitted by /u/One-Tradition-863 [link] [comments]

How are people using Claude as a personal assistant (Slack + Outlook + To-Do)? ADHD-friendly setup help 🙏

Hey all, looking for some practical advice / setups from people who’ve actually made this work. Context: I have pretty severe ADHD, so I’m trying to externalise my brain as much as possible I already use Claude (Pro) and ChatGPT (Plus) Claude is connected to Slack, which is great We’re a small company using Microsoft 365 (Outlook, calendar, etc.) What I want to achieve is basically a proper AI personal assistant layer: Core goals: A central to-do list inside Claude that: I can update naturally (“add this”, “remind me”, etc.) It remembers persistently (not just per chat) A daily briefing, e.g.: Unread / unreplied Slack messages (especially ones I’m tagged in) Important Outlook emails I haven’t replied to Today’s calendar + anything I should prep for Things I’ve likely missed Ideally: Claude nudges me on follow-ups Highlights risks (e.g. “you ignored this client for 3 days”) Acts like a second brain rather than just a chatbot Constraints / reality: I only have individual Claude Pro, not Claude Teams I can get admin access to M365, but unlikely to get approval for multiple paid seats Slack integration works, but Outlook / calendar is the missing piece I’m open to tools like Zapier / Make / etc. but want something maintainable Questions: Has anyone actually got Claude working with Outlook + calendar + tasks in a useful way? Is Claude Teams the only real way to unlock M365 integration, or are there workarounds? Should I be using something like Zapier as the “glue” layer? How are people handling persistent memory / to-do lists with Claude? Is this a case where I should flip it and use ChatGPT as the “brain” instead? I’m basically trying to build a reliable ADHD-friendly operating system for work using AI. If you’ve got a real setup (even scrappy), would massively appreciate you sharing 🙏 submitted by /u/zencatface [link] [comments]

Facebook marketplace and IA

I am looking for a way to connect claude to facebook to answer messenger reply to my marketplace ads but i cant find a way. Zapier only work for business page but theses pages doesnt allow to create a facebook marketplace post. Any ways to do it? submitted by /u/Zackyrambo [link] [comments]

Workarounds for Using Google Tasks with Cowork

Hello all. I am trying to figure out a way to get Google Tasks to work better with Cowork. My company works exclusively in Google Workspace, and I find the native integrations of Google Tasks in my Gmail to be simple and convenient. However, when I try to ask Cowork to read my to-do lists in Tasks, it just can't do it (despite it working well with Docs, Sheets, Slides, etc.). I've tried to use Zapier to transfer my Tasks to-do list to either a Google Doc or a Google Sheet, but I've not been able to perfect that yet (consider that a lack of skill, not an indication that it wouldn't work). So, do any of you have any suggestions on a workaround to help me to get Cowork to see my to-do lists in Tasks? If so, could you share them with me in a way that aligns with the skill level indicated by my struggles with Zapier? If not, any suggestions on a to-do app that plays nicely with both Cowork and Gmail? I tried Todoist, but the extension just wouldn't work on Chrome. Any suggestions/help would be much appreciated. submitted by /u/Natural_Place_4717 [link] [comments]

Are scheduled tasks and connectors now available in Claude CLI?

I’ve been trying to find a way to automatically schedule tasks in Claude the way you can in ChatGPT. ive used zapier and make.com to schedule, but it doesn’t have access to the native connectors, and doesn’t have persistent threads. i just read about this new /loop feature that supposedly allows for task scheduling, but can I use connectors as well? So for example, I want it to clean up my gmail every morning (filter spam, read important emails, draft responses) and provide me with a morning brief of key emails. is that possible? submitted by /u/Galactic-Dicklips [link] [comments]

Is Claude Code worth learning for a small business owner, or is the web app enough?

I own and operate a small catering business — It is just me and my wife right now, but I'm building for growth. I've been focused on automating and systematizing as much as possible. I use a solid CRM that handles a lot of that, and I have that connected to Zapier for automated communications (initial texts, emails, etc.). Currently I use Claude mainly for SEO and CRO on my website. The only tool I've thought about having it build is an inventory calculator/database — though honestly, Excel or Sheets could probably handle that. My questions: Is it worth learning Claude Code, or is the web version sufficient for my use case? What are some key ways I might be missing to use Claude in a small service business? submitted by /u/Abu_The_Rouge_Monkey [link] [comments]