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Creating a new project

Start a new conversation at app.intuned.io/agent to build a project from scratch.
Tell the agent what to build — include the target URL and the data you want or the action to automate. Use a template to pre-fill your prompt, or a recipe to add capabilities.

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Prompt examples

Create a scraper for https://www.energy.ca.gov/funding-opportunities/solicitationsFor each solicitation, extract:
  • title
  • solicitation number
  • status
  • posted date
  • closing date
  • description
Download every attachment and include the files in the output.
Create an RPA project for https://sandbox.intuned.dev/consultations-auth/bookThis is an authenticated website. Set up AuthSessions so the automation runs with authenticated browser state.Create these APIs:
  1. book-consultation — book a new consultation
  2. check-consultation-status — check the status of an existing consultation
  3. confirm-consultation — confirm a pending consultation
  4. get-my-consultations — list all my consultations (add API parameters so the caller can filter by status or date range)
Create a crawler that can crawl any documentation site and extract structured page content.Test it on these sites:For each page, extract:
  • Page title
  • Section headings
  • Body content (as markdown)
  • Links to child pages
Crawl internal links up to a configurable depth.
Create an AI-powered job board crawler.The crawler should:
  1. Start from a job board listing page, extract all job links, and crawl each one
  2. For known boards like Lever, extract structured data with deterministic selectors (title, location, department, team, commitment, workplace type, description, apply URL)
  3. For other boards (Greenhouse, custom), fall back to AI extraction using the same schema
  4. Deduplicate URLs across payloads using persistentStore
  5. Support configurable max_depth and max_pages

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Editing an existing project

Open the project you want to edit from the projects page, then start a new agent conversation from the project overview.
Describe what you want to change — the agent figures out the details. Use a template for common edits, or a recipe to add capabilities.

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Prompt examples

API name: get-solicitations What should change in the result:
  • Add a categories array where each item has name and URL
  • Change price to an object with amount (number) and currency (string)
Test on all the API parameters.
API name: get-products Field or entity with wrong data:
  • price is returning the discounted price instead of the original price
Current output:
  • price: 29.99
Expected output:
  • price: 49.99
Related run IDs:
  • run_abc123
Check last failed runs to find the runs failing with timeout error and fix the issue.
Run all APIs with their default test parameters and verify the outputs are correct. Flag any failures, incorrect data, or missing fields.

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Fix with AI

Navigate to a failed run in the dashboard and select Fix with AI.
Select Fix with AI from a failed run. The agent opens a new conversation with the run context already loaded and starts diagnosing the issue.

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What it can fix

  • Failed runs — broken selectors, changed page structure, missing elements
  • Wrong data — incorrect extraction logic, wrong fields, missing data
  • Timeouts — slow steps, unnecessary waits, performance bottlenecks

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Intuned Agent interface

The agent runs in a multi-panel interface. The main conversation is on the left, with tabbed panels on the right for code, browser, and artifacts.
  1. Home — Return to Intuned home.
  2. New conversation — Start a new agent session — select a model, pick a project, and choose templates or recipes.
  3. Conversation list — All your conversations grouped by project, with status indicators and timestamps.
  4. Work summary — When the agent makes meaningful changes to the project, it adds a summary to the branch. This summary becomes the checkpoint message when you merge.
  5. Merge branch — Merge the agent’s changes into your project. Shows an editable summary before confirming — choose Merge to apply, or Merge and deploy to apply and deploy in one step. Same action available in the header.
  6. View code — View the complete project code with diff highlighting. Shows additions and deletions so you can review exactly what the agent changed.
  7. Message input — Send a new message to the agent. You can queue messages while the agent is working — queued messages are sent automatically after the current turn finishes and the agent stops.
  8. Model selector — Change which Claude model the agent uses: Sonnet (fast and intelligent), Opus (most intelligent), or Haiku (fastest). Takes effect when you send a message.
  9. Permission mode — Control how much autonomy the agent has:
    • With human approval (default) — asks for input before taking actions.
    • Autonomous — acts without approval, ideal for background tasks.
  10. Code panel — View the project file tree with all changes the agent has made. Diffs are highlighted inline.
  11. Browser panel — A live view of the browser the agent controls. Watch navigation, clicks, form fills, and data extraction in real time.
  12. Artifacts panel — While the agent is running, it runs APIs and triggers test jobs. Check the results here — including parameters, responses, errors, and Playwright traces.
  13. Open in IDE — Opens the branch in the Intuned IDE for direct code editing.
  14. Merge code — Same merge action as #5, accessible from the header for quick access.
  15. Branch name — The name of the agent’s working branch for this conversation.
  16. Project link — Link to the project this conversation is associated with.

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Troubleshooting

IssueWhat to do
Agent seems stuck during testingPlatform test jobs can take a while. Check the Artifacts panel every few minutes for updated results — the agent polls for completion and continues once the job finishes.
Session timed outAgent sessions have an 8-hour maximum. If your task hits this limit, type “continue” and the agent resumes where it left off.
For other issues, contact Intuned support.

Intuned Agent overview

What the agent can do and where to find it

Self-healing projects

Automated detection, fixing, and redeployment

Runs

Single API executions and how to debug them

Jobs

Scheduled and batched executions

AuthSessions

Authenticated browser automations

Stealth, CAPTCHA, and proxies

Bot detection, CAPTCHA solving, and IP rotation