The AI agent builder
where you just describe it.
Skip the drag-and-drop. Tell DeskFerry what you want an agent to do — in one sentence — and a running, tool-wired agent shows up in minutes. No code, no flowcharts, across 1,500+ apps you already use.
Describe your agent
“Every Monday at 9am, pull last week’s Stripe revenue and post a short summary to #finance.”
Weekly Revenue Recap
Generated in 14s · 6 components wired
Apps
Instructions
Summarize last week's revenue, flag anomalies vs plan, post a 3-bullet recap to #finance in your tone.
Trigger
Weekly · Monday 9:00 AM
Model
Claude Opus 4.7
Memory
Last 12 weeks of revenue snapshots
Knowledge
Finance reporting templates
One sentence in. A wired, running agent out. Pick a use case to see another.
What gets built
Six decisions the builder makes for you.
A sentence is not a spec. These are the parts DeskFerry infers, wires, and hands back as an editable agent — the work you'd otherwise do node by node.
Trigger
Reads “every Monday at 9” or “when a contract is signed” out of your sentence and wires the schedule or event listener behind it.
Tools
Picks the connectors the job actually needs from 1,500+ apps, and asks you for credentials on those alone.
Instructions
Turns the sentence into the agent’s standing brief — what to produce, in what tone, and what to do at the edges.
Memory
Carries what happened on the last run into the next one, so the agent stops repeating itself by week three.
Knowledge
Grounds the output in your docs, pricing, and policies rather than whatever the model assumed about your business.
Approval gates
Marks the steps a human signs off on. Nothing is sent, charged, or written back until you say so.
The difference
Describe the agent. Don't draw it.
Every other builder starts with a blank canvas and a node palette. DeskFerry starts with the sentence you'd have used to explain the job to a colleague.
When you ask
Every Monday, recap last week’s revenue in #finance.
A workflow automation tool
“Add a Schedule trigger, then a Stripe module, then a Formatter, then a Slack action — and map every field by hand.”
DeskFerry
- Wiring the Stripe read against last week’s window
- Comparing the total to plan and flagging the anomalies
- Drafting a three-bullet recap in your tone
- Setting the schedule to Monday 9:00 AM, weekly
“Weekly Revenue Recap” exists, wired and scheduled, from one sentence — and every step of it is still editable.
When you ask
Triage the support inbox and draft the replies.
A chatbot bolted onto a helpdesk
“Here’s a template you could use for a refund request. Paste the customer’s email and I’ll adapt it.”
DeskFerry
- Classifying every new email by intent and urgency
- Grounding the answer in your help docs and refund policy
- Writing the reply into drafts, never into the outbox
- Posting it for a one-tap approval before it goes
The queue is sorted and the replies are written by the time you open it. You approve; the agent sends.
When you ask
When a contract is signed, start onboarding.
A drag-and-drop canvas
“That’s nine nodes, three branches, and a webhook. Budget an afternoon, and a re-test after every change.”
DeskFerry
- Listening for the signed envelope
- Creating the customer from the contract fields
- Cloning the onboarding template for the account
- Introducing CS in the channel with the details attached
Four tools, one sentence, no flowchart. The first signed contract after deploy runs it end to end.
When you ask
Actually — check for duplicates before it writes anything.
A visual builder
“Open the flow, insert a node before step three, re-map every downstream field, then re-test the whole run.”
DeskFerry
- Reading the change as a change, not a rebuild
- Adding the lookup ahead of the write step
- Leaving the rest of the graph exactly as it was
Changed in a sentence and live in under a minute — no redeploy, no re-mapping, no broken downstream steps.
How it works
From one sentence to a shipping agent.
Four stages. Most first-time users have a running first draft in under two minutes, then spend a few more refining it.
Stage 01
Describe the agent you want.
One or two sentences, plain English. Name the trigger, the tools, and the outcome — there are no prompt templates and no flowchart syntax to learn. If the sentence is ambiguous, DeskFerry asks one clarifying question instead of guessing.
Stage 02
Review the plan. Nothing is hidden.
The generated agent arrives as a real, editable graph. Rename steps, swap a tool, change the tone, adjust the schedule, or drop in an approval gate before a single run happens.
Stage 03
Deploy. Credentials auto-wired.
One click and the agent goes live on its trigger. DeskFerry only asks for credentials on the tools it actually uses, and every run lands in a log you can open.
Stage 04
Iterate without rebuilding.
Most teams treat the generated agent as a 90%-there first draft. Re-prompt to regenerate a branch, edit any step in the visual builder, or drop to a code node for fine control — changes ship without a redeploy.
Why it stays fast
- No flowchart to learn first
- The canvas is there when you want it. It is not the price of entry.
- Nothing is hidden
- Every step of the generated agent is visible and editable before it runs.
- No rebuilds
- Change your mind in a sentence. The rest of the graph stays where it was.
Agents you can describe today
One sentence in. A real agent out.
Eleven prompts real teams have given DeskFerry. Each one became a running, tool-wired agent — most of them live inside five minutes.
Lead researcher
Inbound leads enriched from the web and your CRM, handed to sales as a ranked list each morning.
Support triage
Every ticket classified by intent and answered with a draft — never sent without your approval.
Revenue alerts
Failed charges and dunning events ping the owner and open a ticket before anyone notices the gap.
Contract runner
A signature starts billing, onboarding, and the internal hand-off without anyone chasing it.
Meeting prep
A prep card in Slack fifteen minutes before every call — recent threads, open tasks, last email.
Social monitor
Brand mentions summarised daily, with anything negative flagged the moment it appears.
Inbox assistant
Labelled, replied to, and scheduled in your tone — with a human gate before anything sends.
Ad spend recap
Friday spend against plan, on one page, in the CMO’s inbox without anyone building the deck.
QBR report
Usage, support volume, and expansion signals per account, compiled into a ready-to-send review.
Churn watcher
At-risk accounts spotted from usage and tickets, handed to CS as a weekly intervention list.
Onboarding agent
Every signup gets the welcome sequence, the in-app nudges, and an intro to their CS owner.
Or describe your own
Say what you want to happen once. DeskFerry builds it, wires it, and runs it from then on.
Whether you build an AI agent from scratch or start from a pre-built template, the level of control is yours. Most teams take a template and change the trigger, the tone, or a step — but every custom agent on the platform is built with the same tools, so there is no ceiling on what you can ship.
Setup & control
Live in ten minutes. In your hands the whole time.
Sign up, connect the first few apps, and ask for something real — that is the whole rollout, whether you are one person or five hundred. Add SSO, roles, and audit logs when you need them.
You approve the actions
Put a gate on any step. The agent drafts, queues, and waits — nothing sends, charges, or writes back until you approve it.
Credentials stay scoped
DeskFerry requests access only for the tools an agent actually uses, and each connection is yours to revoke in one click.
Every run is logged
Open any run to see what the agent read, what it decided, and what it did — step by step, with the output it produced.
Integrations
Connected to the 1,500+ apps you already use.
DeskFerry picks the connectors an agent needs from the catalog — CRM, inbox, calendar, billing, docs, support, analytics — and asks for credentials on those alone.
Notion
OpenAI (ChatGPT)
Anthropic (Claude)
Google Sheets
Telegram
Google Drive
HTTP / Webhook
Google Calendar
Schedule
Pipedream Utils
Shopify
Supabase
MySQL
PostgreSQL
AWS
Twilio SendGrid
Amazon SES
Klaviyo
Zendesk
ServiceNow
Slack
Microsoft Teams
Salesforce
HubSpot
Zoho CRM
Stripe
WooCommerce
Snowflake
MongoDB
PinterestAnd the rest of the 1,500+ catalog
Browse all integrationsTool landscape
DeskFerry vs Zapier vs Make vs n8n.
Zapier, Make, and n8n are workflow automation tools — they move data between apps when a trigger fires. DeskFerry is an AI agent builder: agents reason, adapt, and decide across multi-step work.
| Feature | DeskFerry | Zapier | Make | n8n |
|---|---|---|---|---|
| AI agents (autonomous, goal-based) | Yes — native | No (rules only) | No (rules only) | Partial (beta AI nodes) |
| How you build | Describe it in a sentence | Pick trigger, then actions | Draw the scenario | Wire nodes, often with code |
| No-code builder | Yes | Yes | Yes | Partial — needs setup |
| Integrations | 1,500+ | 6,000+ | 1,800+ | 400+ |
| Pricing model | Per seat + usage | Per task | Per operation | Self-host / per seat |
| Best for | Autonomous multi-step agents | Simple app-to-app triggers | Complex branched workflows | Developers self-hosting |
If your workflow is genuinely a linear trigger-to-action sequence — a form submission creating a CRM record, a Stripe payment posting to Slack — Zapier is often the simplest choice. If you need heavy branching with deterministic rules, Make and n8n are stronger. DeskFerry’s sweet spot is the work in between: tasks where the agent has to decide what to do next from context, read unstructured input like emails and documents, handle exceptions gracefully, and move across several apps in a single run. That is the agent-shaped work.
Describe it. We’ll build it.
Write one sentence about the agent you wish existed. DeskFerry assembles it, wires the tools, and hands it back ready to deploy. Start free — no credit card.
Need a custom build? See our custom AI solutions.
FAQ