One AI agent. 458 apps.
Everywhere work happens.
An agent is a worker with tools, not a chatbot. Give it instructions, hand it any of TinyCommand’s 458 apps in one click, and put it where the work is: embedded on your site like a chat widget, or dropped into a workflow as a step. It thinks and picks the right tool, and you can have it stop for your sign-off before it acts.
“New lead from Acme Robotics. Research the company, score intent, update the CRM, then draft outreach, and get it approved before sending.”
{
"company": "Acme Robotics",
"intentScore": 82,
"fit": "high"
}
{
"table": "Leads",
"status": "hot"
}
“Per the instructions, pause for a person to approve before anything is sent.”
Drop an agent into your chat, or onto your site.
Take a finished agent and put it where your customers already are. Paste one line of code on your website, or add it to a chat. Give it your own knowledge as a PDF and it answers from your content, in your voice, with replies that stream in as it writes. Each time you save, it keeps a version, so you can always roll back.
<script src="https://agent.tinycommand.com/widget.js" data-agent="docs-assistant" defer></script>
Docs Assistantanswers from your knowledgeHand it any of 458 apps. One click.
Every integration TinyCommand has is your agent’s to use. No glue tools, no per-connector fees. Pick the app, pick the action, and it becomes a tool: the agent decides what goes in the fields at runtime, and pauses for your approval where you ask it to.
Gmail
Slack
HubSpot
Stripe
Notion
Airtable
Sheets
Salesforce
Shopify
Mailchimp
Intercom
Zendesk
WhatsApp
Telegram
Discord
Twilio
Zoom
Calendly
Typeform
Jira
GitHub
Linear
Trello
Asana
Monday
ClickUp
Pipedrive
Klaviyo+430 more appsAnd your workflows can hire it too.
The agent is a real step on the workflow canvas, right next to If/Else and your app actions. Mid-run, the workflow hands it a message; the agent thinks, uses its tools, and hands its answer to the next step. The same agent you embed as a chat widget is the one your workflows call.
New lead rowtrigger · TablesLead Qualifierthinks · picks tools
Hot lead?if / elsePing salesSlackFirst touchGmailOne brain, two places: the agent you embed on your site is the same one your workflows call. Same instructions, same tools, and it can keep one conversation going across several steps of a run.
Watch it think, pick a tool, and check with you before it acts.
Given a goal, the agent does not answer in one shot. It makes a plan, picks a tool, reads what comes back, and decides the next move, repeating until the job is done. You can see the whole run: every thought, every tool it used and what it got, and a pause for your approval before it sends anything.
“New lead from Acme Robotics. I will research the company first, score intent, update the CRM, then draft outreach, and get it approved before sending.”
{
"plan": ["scout","update","compose","approve"]
}{
"company": "Acme Robotics",
"industry": "Industrial automation"
}{
"summary": "Series B, hiring ops",
"intentScore": 82,
"fit": "high"
}“intentScore 82 is at or above 70, so this is a hot lead. Mark it hot in the CRM, then write a tailored first-touch email.”
{
"decision": "hot",
"next": "update_record"
}{
"table": "Leads",
"rowId": "rec_8841",
"status": "hot"
}{
"ok": true,
"rowId": "rec_8841"
}
{
"objective": "book a discovery call",
"recipient": {name,title}
}{
"subject": "Scaling Acme ops",
"body": "Hi Ada, saw Acme just"
}“Drafted the email. Per my instructions, I pause for a person to approve before anything is sent.”
{
"prompt": "Approve outreach to Ada?",
"assignee": "sales-lead"
}“Approved. Lead qualified as hot, CRM updated, and a personalized first-touch email is ready to send.”
{
"status": "qualified · hot",
"rowId": "rec_8841",
"email": "ready_to_send"
}Every action your platform can take is a tool the agent can pick up.
The agent is the brain. Tools are its hands. Web search, scraping, reading documents, looking up people and companies, your TinyTables, and every one of your 458 connected apps are all tools on the same canvas, the very same building blocks that power your workflows. Each one has a clear input and a clear output, so the agent runs a real action instead of guessing.
Six agents ready to run today.
Skip the blank canvas. Drop in a research or outreach agent and it is useful on day one, or build your own with instructions and tools. TinyScout and TinyComposer also live as first-class building blocks on the canvas.
Researches a prospect or a company and brings back a clear summary, an intent score, and a fit read.
Writes personalized messages and emails from a recipient and a goal.
Searches the live web and brings back grounded, sourced answers the agent can use.
Fills out a company from a name or domain, drawing on multiple sources so the answer rarely comes back empty.
Turns an email or a name into a full, organized profile.
Finds and checks a work email, switching between sources when one comes up short.
Set it up, give it tools, test it, then go live.
Every agent is built through the same three steps, and each one leads to the next. You set it up first, then give it its tools, then test it on a real example and watch the run. You only go live with something you have seen work, not a blind guess.
Name it and write its instructions, the personality and the job it does.
Pick the model that powers its reasoning and hand it the tools it is allowed to use. Turn on memory so it remembers what came before, across a chat and across runs.
Run it on a real example, step through the run, and confirm it does the right thing before customers ever see it.
Ship the agent you just tested. The same engine that ran your test runs it for real.
TinyScoutresearchresearchUpdate Recordwrites to your tableactionTinyComposerwrites the emailwriteHuman Approvalpauses for a persongateThe same canvas as forms, tables, workflows, and email. In purple.
Agents is the purple side of the one Studio canvas, and that is the whole point. An agent here can read your TinyTables and reach the same apps your workflows use, because it is the same engine underneath. A point tool bolted onto your stack cannot say that.
An answer bot, an app-action bot, or a worker.
Most tools are great at one half of the job. The difference here is a worker that thinks, picks the right tool, checks with you, and lives right next to your data, all in one place.
| TinyAgents | Intercom Fin | Chatbase | Zapier Agents | Lindy | |
|---|---|---|---|---|---|
| Thinks, acts, reads the result, repeats | ✓ | No | No | ✓ | ✓ |
| Tools with a clear input and output | ✓ | No | No | app steps | app steps |
| Pauses for your approval, then resumes | ✓ | handoff | No | limited | ✓ |
| Embed it on your site, answers from your PDFs | ✓ | ✓ | ✓ | No | limited |
| Same canvas as your forms, tables, workflows | ✓ | No | No | No | No |
| Reads your own data directly | ✓ | No | No | via apps | via apps |
| Web, document reading and lookups as tools | ✓ | No | scrape | via apps | some |
If you want the best support deflection at scale, Intercom Fin is excellent. If you just need a knowledge-base chatbot on a page fast, Chatbase is great. If you need the widest app directory to hang an agent off, Zapier has it, and Lindy ships polished autonomous agents. If you want a worker that thinks, picks the right tool, checks with you, and lives right next to your forms, tables and workflows, that is what we built.
Good to know.
New to agents? Start with the complete no-code AI agent guide.
How is this different from a chatbot? +
A chatbot answers from a knowledge base. A TinyAgent does work. It makes a plan, picks the right tool, reads each result, and decides the next step, repeating until the goal is met, and you can add a sign-off step so it waits for your approval before anything important happens. You can also step through the whole run to see exactly what it did.
What do you mean by “tools”? +
A tool is a real action the agent can take, like looking up a company, searching the web, or updating a row in your table. Each tool has a clear input (what you give it) and a clear output (what it gives back), so the agent runs a real action and gets a tidy result, instead of guessing.
Can my agent really use any of the 458 apps? +
Yes. Every integration TinyCommand has is included, with no per-connector fees. Pick the app, pick the action (send a Gmail, post to Slack, update HubSpot), and it becomes a tool your agent can use, in one click. You sign in to an app once, and from then on the agent fills in the fields at runtime, pausing for approval where you ask it to.
Can I use an agent inside a workflow? +
Yes. The Agent is a real step on the workflow canvas, right next to If/Else and your app actions. Mid-run, the workflow hands it a message; the agent thinks, uses its tools, and hands its answer to the next step. It can even keep one conversation going across several steps of the same run.
Which model runs the agent? +
You pick the model that powers its reasoning, from GPT-4o mini for quick, simple jobs up to o1 for the hardest reasoning. Choose the one that fits the task and your budget.
Can it pause and ask a person before acting? +
Yes. Human Approval is a real step you can add. Drop it in and the agent pauses for someone to approve, review the data, or fill something in before an important action, then picks up right where it left off once you respond.
Can the agent reach my data? +
Yes. On the Studio canvas, the same building blocks that power your workflows become tools, so an agent can read and write your TinyTables, look up a person or company, search the web, and read a document. When you embed the agent on your own site, you choose exactly which actions it is allowed to take.
Do I have to start from scratch? +
No. Six agents are ready to run, including TinyScout for research and TinyComposer for outreach. Use one as is, or build your own by setting it up, giving it tools, and testing it.
Is there a free plan? +
Yes. Build and test an agent for free, and you are in the builder in under a minute.
Someone asks on your site, and your agent takes it from there.
No wiring to build. Every step hands off to the next on its own.
01TinyAgentsYour agent answers questions on your site
answered
02TinyTablesWhat it learns saves to the right row
captured
03TinyWorkflowsGood leads kick off the right steps
routed
04TinyEmailA follow-up email goes out
sent
All it takes is a TinyCommand.
Five products. One system. One place everything lands.
Put an AI worker on it.
Give it instructions and 458 apps, then put it in your chat and your workflows. Add a sign-off step and it waits for you before it acts. Free to start.