AI 101
Know your AI toolbox
From asking a quick question to delegating whole projects. Here’s how the pieces fit together, with real examples from professional services work.
What AI actually does
A force multiplier, not a replacement for judgment.
- Automates repetitive tasks: data entry, email sorting, form processing.
- Analyzes patterns in your data: market trends, deal quality, why you win.
- Augments your thinking: speeds up writing, generates options, drafts first versions.
The ecosystem at a glance
Three stages, working together.
Click a stage to expand it, or click “note” on any card
for a plain-language explanation.
Memory
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Firm-wide voice • Brand consistency
Your AI assistant remembers your organization’s tone and style across conversations, so you don’t have to re-explain your brand voice every time.
Project Workspaces
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Persistent memory • Custom instructions • Domain knowledge
A dedicated space where your AI assistant keeps everything it needs to know about a project — files, instructions, context — between sessions.
Connectors
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CRMs & ERPs • Email & communication • Cloud files
Connectors plug your AI assistant directly into tools you already use, like a CRM or your cloud files, instead of you copying data back and forth by hand.
Chat
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Quick Q&A • Trend analysis • Task delegation
The front door — the simple back-and-forth conversation most people start with, no setup required.
Skills
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Repeatable routines • Standardized prompts
A saved recipe for a task you do often, so your AI assistant follows the same steps the same way every time you ask.
Plugins
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Packaged workflows • Skills + connectors
Bundles skills and connectors into one ready-to-use toolkit — like installing an app instead of building one piece by piece.
Agents
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Autonomous execution • Long-running research
Works independently on a longer task — like research or a first draft — and checks back in with results instead of needing you at every step.
Scheduled Tasks
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Automated triggers • Background processing
Lets your AI assistant run on a timer — like every Monday morning — without anyone having to ask it to start.
Interactive Documents
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Documents • Presentations • Web apps
Living documents you can view, edit, and share — not just plain text stuck in a chat window.
Master Documents
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Word & Google Docs • Spreadsheet updates • Tracking logs
Your AI assistant can update a real Word doc, Google Doc, or spreadsheet directly, keeping proposals, trackers, and logs current instead of someone copying information over by hand.
Ecosystem Feedback Loop
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Outputs → Project memory • Continuous iteration
What your AI assistant produces gets saved back into memory, so next time it already knows what happened last time — that’s the loop below.
Outputs feed back into Memory & Project Workspaces — the ecosystem keeps learning.
The toolbox, term by term
What changes when you use each one.
| Tool | Think of it as | What changes | Example |
|---|---|---|---|
| 💬 Chat | Extra pair of hands | You get instant answers without searching. That proposal you were dreading starts drafting while you take the call. | “Give me five ideas for a client appreciation event” — answers in minutes, not hours of research. |
| 📁 Project | One person holds twenty deals | You manage more work without hiring. One person organizes deals, research, and strategy in one place, with context that carries forward automatically. | A broker managing fifteen prospects keeps everything for each deal together. No more email chaos, no deals slipping through. |
| ✨ Artifact | Instant first draft | Your team spends time refining, not creating. Proposals, strategies, and analyses appear draft-ready. You iterate in minutes. | A market analysis that used to take four hours comes back in thirty minutes. Your time goes to client relationships, not blank pages. |
| 🔌 Connector | Data entry stops | Your AI assistant accesses your live CRM, email, and files. No manual copy-paste. No stale data. Real information, every time. | A property manager’s assistant pulls tenant issues from email automatically, categorizes them, and suggests responses. Manual sorting is gone. |
| 📦 Plugin | Repeatable scales the team | One workflow runs the same way every time, automatically. Your whole team uses it. Consistency scales without hiring. | A CRM cleanup workflow runs every Monday and standardizes data with no human intervention. What took three hours a week is now zero. |
| ⚙️ Skill | Your process, automated | Your AI assistant learns how you work and does it the same way every time. Consistency without you re-explaining. | A “market intelligence brief” skill always follows your specs, your format, your voice. Set it up once, use it forever. |
| 🤖 Agent | Specialized team member | AI customized for your role. A market research agent, a BD agent, a proposal agent — each one carries your playbook. | A firm’s market research agent always analyzes data the way the firm does. Hand off a big project Friday afternoon, and it’s ready to review Monday morning. |
| 🧠 Memory | Your voice stays consistent | Your AI assistant learns how you write, think, and sell. Every proposal, email, and strategy reflects your voice. No more “that doesn’t sound like us.” | Every proposal feels like the firm wrote it, because the AI learned the firm’s positioning, language, and way of thinking. |
Starting with Chat alone? That’s not a phase, it’s valid. There’s no “too simple” here. You don’t have to hit every level. A broker using Chat for prospect research is getting value. A team using Project, Connector, and Artifact together for leasing proposals is scaling differently. Both are winning.
The principle
This is what Clarigo helps you do: turn AI capability into competitive advantage.
Not by changing how you work, but by amplifying what already works.