Automations & Use Cases

Every time a new 5-star review lands in a Google Form or feedback tool, an AI rewrites it as a short, on-brand testimonial post. The post is queued in Buffer with your brand colors and logo added through Canva templates. You get a steady stream of social proof content without writing a single word.

Turn every 5-star review into a published social post and grow follower trust — saving 2 hours/week.

Saves ~2 hrs/week

Add today's specials to a Google Sheet each morning and an automation does the rest. It picks up the new row, formats a post with your dish name, price, and description, and publishes it to your Facebook page and Google My Business profile at the same time. Your regulars see your specials wherever they search.

Post specials to two channels in under 2 minutes and attract 15–20% more walk-in customers from search.

Saves ~3 hrs/week

Keep your social content plan in an Airtable base. Each row holds a post topic, target date, and assigned channel. An automation reads new rows each Monday morning, generates a ready-to-post caption using an AI tool, and schedules every post in Hootsuite for the week ahead. No manual copy-paste needed.

Cut social media prep from 4 hours to under 30 minutes every week.

Saves ~4 hrs/week

When you publish a blog post in WordPress, this workflow sends the title, excerpt, and URL to an AI writing tool. It generates platform-specific captions for Instagram, LinkedIn, and Facebook, then queues all three in Buffer for scheduled posting. You write once and show up everywhere.

Save 5 hours/week on social writing and publish 3x more often without extra effort.

Saves ~5 hrs/week

Better Sol deploys Solana programs with one command, but a failed deploy — wrong network, insufficient SOL balance, program size limit — can sit unnoticed for hours if you rely on email notifications. This workflow monitors your GitHub Actions deploy pipeline and fires a Slack message to your engineering channel the moment a Better Sol deploy step fails, including the error log snippet and a direct link to the failing run.

Catch failed Solana deploys within 2 minutes and cut mean-time-to-fix from 3 hours to under 30 minutes.

Saves ~2 hrs/week

Better Sol generates a fully typed client alongside your Solana program. This workflow uses that client to listen for on-chain transactions — token transfers, program calls, state changes — and writes each event in real time to a Supabase table. Your business team can then query transaction history, loyalty point balances, or NFT ownership directly in SQL without touching the blockchain.

Give your team real-time SQL access to on-chain data and save 3 hours/week of manual blockchain reconciliation.

Saves ~3 hrs/week

Better Sol generates your full Solana program, typed client, and database schema from a single TypeScript file. This workflow hooks into your GitHub repository so that every merge to the main branch automatically triggers a Better Sol build and deploys the updated program to Solana devnet. Your team always tests against the latest program state without anyone running manual deploy commands.

Cut deploy cycle time from 30 minutes to under 5 minutes and eliminate manual deploy errors entirely.

Saves ~2 hrs/week

When Known Agents identifies a bot as an unauthorized content scraper, your team needs to decide fast: block it, update robots.txt, or escalate. This workflow turns every new scraper detection into a Jira ticket automatically, pre-filled with the bot's name, IP range, frequency, and a direct link to the Known Agents dashboard entry. Nothing falls through the cracks and your team has a clear paper trail for every blocking decision.

Guarantee every scraper gets a response ticket within 2 minutes of detection and cut manual ticket creation to zero.

Saves ~1 hr/week

Known Agents captures a detailed record of every AI bot and crawler that visits your site. This workflow runs every Monday morning, pulls the past week's bot traffic summary from Known Agents, and appends a new row to a Google Sheet — total visits by bot, scraper vs. legitimate crawler split, and any newly blocked agents. Your content and SEO teams get a clean weekly report without touching a dashboard.

Save 1.5 hours/week on reporting and give your team a 12-week bot traffic history they can act on.

Saves ~2 hrs/week

Known Agents monitors every AI bot and crawler that visits your site in real time. This workflow fires a Slack message to your team the instant a new, previously unseen crawler appears — with the bot's name, operator, and whether it's been classified as a content scraper. Your team can decide within minutes whether to block it or update your robots.txt, instead of discovering the damage weeks later.

Respond to new AI crawlers within 5 minutes instead of days and save 2 hours/week on manual log reviews.

Saves ~2 hrs/week

Croct lets you build rich visitor segments based on real behavior — pages visited, time on site, features used. This workflow exports those segments on a daily schedule and syncs them to Google Ads customer match lists so you serve ads only to people who already showed interest in specific products or pages. You spend less on broad audiences and more on visitors who are genuinely close to converting.

Improve retargeting ad ROI by 20-30% and cut 2 hours/week of manual audience uploads.

Saves ~2 hrs/week

Croct watches every visitor event in real time. When someone views a product page, adds an item, then goes idle for 15 minutes without checking out, Croct fires a webhook that kicks off a targeted Klaviyo email sequence. The first message goes out within minutes of abandonment — before your competitor emails them.

Recover an estimated 8-15% of abandoned carts and save 3 hours/week building manual re-engagement lists.

Saves ~3 hrs/week