deploy Nous v19 update
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@@ -8,10 +8,21 @@ the local catalogue, and presents the remaining places for human review.
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The interface is split into Dashboard, Discover, Prospects, Runs, and Settings
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views. It includes website health and email evidence, explainable scoring,
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domain ideas, suppression, CSV export, scheduled runs, rescans, and human review. It never sends outreach
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automatically. Optional AI can analyse a prospect and draft a subject/email
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from supplied evidence and your offer; you edit and approve the draft yourself.
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automatically. The Prospects explorer has an **All high potential** tab and
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category tabs populated from each discovery run, with every tab sorted from
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highest to lowest opportunity score.
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Optional AI can analyse a prospect and draft a subject/email from supplied
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evidence and your offer; you edit and approve the draft yourself. Drafts now
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also return the reasoning, stored evidence IDs used, facts that still need
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confirmation, and a follow-up review note so a polished email is not mistaken
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for verified information.
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From a prospect's detail drawer, **Assess with AI** stores a contact probability,
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recommendation, and short evidence-grounded rationale for that specific company.
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The same drawer can optionally run a bounded Browser Use investigation to look
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for a likely official website when Maps did not list one. Candidate domains are
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shown with evidence and must be accepted by you before they replace the
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catalogue record.
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## Start the stack
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@@ -50,6 +61,10 @@ error rather than remaining stuck forever.
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| `GMAPS_POLL_SECONDS` | `2` | Poll interval while a job is running |
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| `OUTBOUND_USER_AGENT` | `ProspectOS/2.0 (+personal-use)` | Identifies provider HTTP requests; avoids Python's default client fingerprint |
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| `DISCOVERY_BACKEND` | `gmaps` when `GMAPS_URL` is set | Set to `browser` only for the bounded public-search fallback |
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| `BROWSER_USE_ENABLED` | `true` | Enables the optional website-candidate investigator |
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| `BROWSER_USE_MAX_STEPS` | `10` | Maximum Browser Use actions for one investigation (3–15) |
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| `BROWSER_USE_TIMEOUT_SECONDS` | `120` | Hard timeout for one investigation (30–300 seconds) |
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| `ANONYMIZED_TELEMETRY` | `false` | Keeps Browser Use telemetry disabled in this personal deployment |
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| `AI_PROVIDER` | `custom` | Set to `nous` for the Nous Research Portal, or `custom` for another OpenAI-compatible endpoint |
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| `AI_BASE_URL` | empty | Optional OpenAI-compatible `/chat/completions` endpoint |
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| `AI_API_KEY` | empty | Optional provider key; keep server-side |
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@@ -82,6 +97,32 @@ Hermes refresh token and is not a portable credential for this standalone
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Docker app. ProspectOS therefore uses a server-side Nous API key here. The key
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is never returned by the Settings API or sent to the browser after saving.
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### Browser Use website investigator
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Browser Use is an optional local browser agent. It uses the AI provider already
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configured in Settings to navigate a small number of public search/result pages,
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then returns candidate URLs as structured data. It is intentionally limited to
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unauthenticated research: no proxy rotation, stealth fingerprints, CAPTCHA
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solving, login, or challenge bypass is configured. If a site blocks the browser,
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the action returns an explicit error and the rest of the prospect workflow is
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left intact. Browser Use itself is open source, but each investigation still
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uses your configured model/provider and may consume its quota.
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To use it:
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1. Configure and test an AI provider in **Settings** (a Nous key plus a selected
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model also works).
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2. Open a prospect that has no detected website and choose **Find possible
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websites**.
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3. Review the returned domains and evidence. Choose **Accept** only when the
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domain is genuinely the business's official site; accepting runs the normal
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website health and public-email scan.
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The API equivalents are `POST /api/prospects/{id}/website-candidates`,
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`GET /api/prospects/{id}/website-candidates`, and
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`PATCH /api/prospects/{id}/website-candidates/{candidate_id}` with
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`{"status":"accepted"}` or `{"status":"rejected"}`.
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The app stores its catalogue in the `prospect_data` Docker volume. The worker
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stores its own job data in `gmaps_data`; keep both volumes if you want to retain
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history. To inspect status:
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