Four concrete patterns - each with a before/after breakdown, the specific outcome it produces, and a perspective from someone who runs it.
The pattern is the same across all of them: agents write to shared memory so the next agent doesn't need a briefing. You stop being the relay.
Three agents. Raw sources to a polished report.
Before: researcher finishes → you copy findings into a new chat → writer starts. Every handoff is manual, lossy, and slow.
After: researcher writes findings directly to shared memory. Writer reads memory and starts. No copy-paste, no lost context, no you in the middle.
A researcher agent searches the web and reads sources, writing raw findings directly into shared memory. A synthesiser reads those findings and structures the analysis. A writer composes the final report - without ever needing to re-query anything, because everything the researcher found is already there.
“I used to paste my researcher's output into a new Claude chat every single time. Now I just point the writer at memory and it already knows what was found. That alone saves me 20–30 minutes per research cycle.”
- Indie analyst, competitive research workflowsLive view in Agency - click tabs or wait for auto-cycle
Architect specs it. Two devs build in parallel. Reviewer ships it.
Before: architect finishes → you brief the backend dev → wait → brief the frontend dev → wait → manually gather everything for review. Serial by default.
After: architect writes spec to memory. Backend and frontend both read from it simultaneously. Reviewer reads spec + output from memory - no Slack thread needed.
An architect agent designs the schema and writes the spec to shared memory. A backend dev and frontend dev run in parallel - each reading from memory so they never block each other. When both are done, a reviewer reads all the changes and the spec side by side without any manual briefing.
“The spec is in memory. The devs read it. The reviewer reads it. Nobody is waiting on a briefing call or a DM. I've run entire auth system implementations this way - the reviewer had full context without me sending a single message.”
- Builder, full-stack agent workflowsLive view in Agency - click tabs or wait for auto-cycle
Three agents running 24/7 under one brand identity.
Before: ops agent spots a stock issue → you notice → you update the campaign manually → pricing reacts separately. Reactive, manual, always one step behind.
After: ops agent writes the stock alert to memory. Campaign agent reads it and pauses the SKU. Pricing agent reads competitor moves and adjusts. No webhook spaghetti.
A monitor agent watches order volume and stock levels, writing alerts to shared memory. A pricing agent reads competitor data and adjusts prices. A campaign agent reads both - inventory status and market position - and updates ad copy accordingly. All three agents share one brand identity and appear as a single operation externally.
“The stock monitor writes to memory and the campaign agent just handles it. I didn't write any integration code. They share a brand identity so customers see one coherent voice across every touchpoint - not three different bots.”
- E-commerce operator, DTC brandLive view in Agency - click tabs or wait for auto-cycle
Schedule it once. Your agents run it every day.
Before: Python script, cron job, API wrangling, deployment, maintenance. Or: you check the dashboard manually each morning and wonder what changed.
After: visual canvas, three nodes - Trigger → Agent → Send. Fires at 9am, queries PostHog, AI summary, drops in Telegram. Nothing to maintain.
A scheduled workflow fires every morning at 9 AM. First it queries PostHog for the past 24 hours of events. Then an analyst agent reads the data and generates a plain-English summary. Finally an Execute node sends that summary to your Telegram - or drops it into your in-app notification inbox. No servers, no cron jobs, no code.
“I set it up on a Sunday afternoon. Monday morning I got the digest in Telegram before I opened my laptop. It's been running every day since. I've never touched it again.”
- Founder, SaaS productLive view in Agency - click tabs or wait for auto-cycle
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