Product docs
FiboAgent turns LinkedIn activity into ranked signals, suggested actions, and reply drafts. Start with a workspace, connect the local extension, analyze posts, then review everything inside the SaaS dashboard.
One workflow, fully connected
Create a workspace, define scoring and reply actions, add watch targets, collect LinkedIn posts through the browser extension, score them with AI, generate replies, and review all signals, replies, and digests in one place.
This is the end-to-end path users follow today.
Choose a use case, name the workspace, describe your goal, and set default sources, digest frequency, and alert threshold.
Customize how FiboAgent decides what matters and how it should respond before any post is analyzed.
Install the Chrome extension from the Chrome Web Store, sign in, sync the available workspaces, and start using FiboAgent directly on LinkedIn pages.
In the workspace watchlist, add people, companies, topics, or keywords you want FiboAgent to track and sync over time.
From LinkedIn, collect posts into the workspace. FiboAgent scores each item, explains why it matters, recommends an action, and can generate a reply from the selected action prompt.
Use the dashboard to inspect signals, replies, digests, and workspace settings so the whole workflow stays traceable.
After ingestion and reply generation, these pages hold the working context.
Entry point for onboarding, KPIs, hot signals, and quick navigation into the product loop.
Manage tracked people, companies, topics, and source URLs for each workspace.
See ranked signals with score, grade, source, summary, why it matters, and recommended action.
Review reply generation records including post context, selected action, draft input, output, latency, and status.
Read AI-generated daily, weekly, or realtime briefs with priorities, rationale, actions, and evidence signals.
Update source selection, scoring context, reply actions, digest rules, alert threshold, and local skill sync settings.
These are the product capabilities already present in the app and repository.
Multi-workspace setup with use-case templates, scoring context, digest frequency, and alert threshold
AI-assisted generation for scoring criteria and auto-analyze keywords
Custom reply action buttons and reply prompt management per workspace
Watchlist management for people, companies, topics, keywords, and source URLs
Chrome extension for LinkedIn extraction, local queueing, login bridge, workspace sync, and SaaS sync
Signal ingestion, AI scoring, grading, summaries, why-it-matters, and recommended actions
Reply generation history with action label, post context, draft input, output, and error tracking
Digest pages plus workspace-level sync, alert, and local skill settings
FAQ
Quick answers before you install and run the full workflow.
Use these pages to plan rollout and compare options.
Workflow guides
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Learn how to identify LinkedIn intent signals from posts, comments, hiring updates, workflow complaints, and product research conversations.
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Build a practical LinkedIn reply assistant workflow that creates thoughtful comments, avoids spam, and keeps outreach tied to real context.
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Use LinkedIn as a repeatable lead generation workflow: source posts, score signals, reply with context, and review what converts.
The fastest way to try the full loop is: create one workspace, install the extension, then send your first LinkedIn posts into the dashboard.
