Obviously AI Integrations
Put Obviously AI to work with AI and enterprise-grade automation
4.9/5 on G2·
Google for Startups Accelerator
No Obviously AI connector? The Agent builds one.
Web search for Obviously AI's public API docs, or hand over your own — either way, the Agent researches the real API surface and ships a working connector.
Try Knit FreeNot a block library. Real code.
Legacy automation tools like Zapier, Workato, and Make hand you a fixed library of pre-built steps to drag, drop, and configure around the edges. Knit's Integrations Agent writes real, custom Obviously AI integration code for your exact logic.
Legacy iPaaS
- Fixed library of pre-built steps — drag, drop, configure around the edges
- Capped by whatever the vendor's already built
- AI features bolted on after the fact
Knit Integrations Agent
- Real, inspectable code for your exact Obviously AI logic
- Auto-builds a missing Obviously AI connector itself
- Native LLM connectors built in, not bolted on
from knit import Knit
client = Knit(api_key=KNIT_API_KEY)
@client.on("new-issue-captured")
def create_issue(event):
return client.developer_tools.create_issue(
integration_id=OBVIOUSLY_AI_INTEGRATION_ID,
record_id=event["id"],
fields={
"source": "Obviously AI",
"synced_at": event["updated_at"],
},
# ...maps the event to a real "Create issue" call
)Example: illustrative of what the Agent generates from a plain-English prompt — real, inspectable, and yours to edit.
Skip the engineering. Ship the workflows.
See what you can build with Obviously AI on Knit
Obviously AI → Feathery
Send form data received in Feathery to Obviously AI for predictive modeling.
Use submission inputs to run real-time machine learning predictions.
Obviously AI → Airtable
When new records are created in Airtable, run Obviously AI predictions and send outputs to Discord and Asana.
Obviously AI → Adalo
When an AI prediction is generated in Obviously AI, sync prediction results to Adalo.
Obviously AI → HubSpot
When new contacts are added in HubSpot, generate Obviously AI predictions and send emails via Gmail.
Obviously AI → Feathery
Send form data received in Feathery to Obviously AI for predictive modeling.
Use submission inputs to run real-time machine learning predictions.
Obviously AI → Airtable
When new records are created in Airtable, run Obviously AI predictions and send outputs to Discord and Asana.
Obviously AI → Adalo
When an AI prediction is generated in Obviously AI, sync prediction results to Adalo.
Obviously AI → HubSpot
When new contacts are added in HubSpot, generate Obviously AI predictions and send emails via Gmail.
Obviously AI → Typeform
When new responses are submitted in Typeform, run Obviously AI predictions and post to Slack.
Obviously AI → Close
When predictions are generated in Obviously AI, update lead scoring attributes in Close.
Obviously AI → Salesforce
When Obviously AI outputs predictions, update lead or opportunity scores in Salesforce.
Obviously AI → Microsoft Excel
When prediction outputs are calculated in Obviously AI, log prediction rows in Microsoft Excel.
Obviously AI → Typeform
When new responses are submitted in Typeform, run Obviously AI predictions and post to Slack.
Obviously AI → Close
When predictions are generated in Obviously AI, update lead scoring attributes in Close.
Obviously AI → Salesforce
When Obviously AI outputs predictions, update lead or opportunity scores in Salesforce.
Obviously AI → Microsoft Excel
When prediction outputs are calculated in Obviously AI, log prediction rows in Microsoft Excel.
See the APIs & webhooks enabling Obviously AI Integrations
The real endpoints Knit's Agent can call to turn a plain-English use case into working Obviously AI Integration code
Make a Forecast using your Timeseries model
Make a prediction using your AutoML model
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Customer Stories
See how leading technology firms are scaling their operations
Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
#1 in Ease of Integrations
4.9 out of 5 stars on G2
Common questions about the Obviously AI automation
Is there a pre-built Obviously AI automation?
Not yet — Obviously AI isn't in Knit's Unified API or MCP Servers catalog today, so there's no pre-built connector for it either. The Integrations Agent can build the real automation (and the connector powering it) on demand instead of you waiting on our roadmap.
How does the Agent actually build the Obviously AI connector?
It researches Obviously AI's real public API documentation — authentication, endpoints, data schema — and writes a working connector against that real surface. You can also upload your own docs if Obviously AI's aren't public.
How long does it take?
Minutes to build a first working version, not weeks — you test it against real Obviously AI data before it goes anywhere near production.
What happens after the Agent builds it?
You own it. It runs the same way any Knit-built connector does — you are not left maintaining hand-rolled integration code yourself.
Could Obviously AI become a real pre-built connector later?
Yes — as apps get built and used through the Agent, the highest-demand ones are natural candidates to join the pre-built Unified API/MCP Servers catalog directly.