Comparison

Keeping client context up to date for AI: the options compared

Nov 5, 2026 · By Stéphane

If you manage more than a handful of clients, the hard part of client context for AI isn't storing it. It's keeping it true. Projects in Claude or ChatGPT store context but don't update it. Notion, Airtable and NotebookLM can stay current, but only if you build and feed the system yourself. A newer group of tools does the upkeep for you: context layers for teams in general (Unabyss, Hjarni), and a tool built specifically for agencies and their clients (SagaJoe).

Disclosure: this comparison is written by SagaJoe, one of the tools listed. We've tried to be fair: features and prices come from each tool's own pages or public listings, linked in Sources. Tell us if something is out of date and we'll fix it.

At a glance

The real difference between options is who keeps the context current: you, a system you build, or the tool itself.

Client context options compared
Option	Setup for 30 clients	Who keeps it current	Sources on each fact	Works across assistants	Price (USD)
Context files you paste in	Hours	You, by hand	Only if you add them	Yes (copy and paste)	Free
Claude Projects	Hours	You, by re-uploading files	No	Claude only	Included with Claude plans
ChatGPT Projects	Hours	You, by re-uploading files (connectors not supported in projects)	No	ChatGPT only	Included with ChatGPT plans; 5 to 40 files per project
NotebookLM	Hours	Google Docs, Sheets and Slides sources sync automatically; you keep the docs current	Answers cite sources	NotebookLM only	Included with Google accounts
Notion + Notion AI	Days (design the workspace)	You, or agents and automations you build	Only if you add them	Notion AI; others via connectors	From $20/member/month (Business)
Airtable + AI	Days (design the base and workflows)	Field agents and automations you build	Only if you add them	Via integrations you set up	From $20/user/month (Team)
Hjarni	Hours	You or your assistant, writing notes through MCP	Only if you add them	Claude, ChatGPT and other MCP clients	Free up to 25 notes; Pro $12/month; Teams $20/seat/month
Unabyss	Connect your tools	Syncs from connected tools (Slack, Gmail, HubSpot and others)	Not stated	MCP clients, plus Make, n8n, Zapier	Pro $15/month, Max $89/month, Team $49/seat/month
SagaJoe	About 10 minutes per client	Joe re-checks each client's website weekly and proposes changes you approve	Yes, every fact, with its date	Any assistant (copy or download); direct connection in development	$45/month incl. 3 clients, +$15 per client

Prices checked on November 5, 2026. Always confirm on each vendor's site.

Option by option

1. Context files you paste in

One document per client, pasted or uploaded at the start of each chat. It works with every assistant and costs nothing.

Good for: a few clients, or trying out what context your AI actually needs.
Watch out for: the file is only as current as your last edit. At 20 or 30 clients, nobody re-reads every file each week.
Tip: split each file into stable facts (who they are, what they sell) and living facts (current priorities, recent decisions), and date the living ones.

2. Claude Projects and ChatGPT Projects

One project per client, with its files and instructions attached once. Every chat inside the project starts with that context, so you stop re-uploading. Both can be shared with teammates on team plans.

Good for: agencies that work mostly in one assistant.
Watch out for: projects store context but don't refresh it. You still update the files by hand. ChatGPT projects hold 5 to 40 files depending on plan, and OpenAI's help page says connectors aren't supported inside projects. Context also stays locked to that one assistant.

3. NotebookLM

One notebook per client, loaded with briefs, transcripts and documents. Since May 2026, Google Docs, Sheets and Slides sources sync automatically when the Drive file changes.

Good for: asking questions about a client's history, grounded in your documents.
Watch out for: it syncs your documents, but someone still has to keep those documents true. It's a research tool more than a workspace for daily AI work in other assistants.

4. Notion with Notion AI

A page or database entry per client, with Notion AI working across your workspace. On the Business plan, agents and background workers can draft updates.

Good for: agencies that already run on Notion.
Watch out for: you design the structure and the update workflows. Ongoing AI features need the Business plan or above.

5. Airtable with AI

A structured base of clients, decisions and updates. Field agents can research and fill fields automatically, and automations can pull in changes.

Good for: agencies that want a structured database and enjoy building workflows.
Watch out for: it's a build project. You design the base, the agents and the ingestion, then maintain them.

6. Context layers and client-context tools

A newer category: tools built to give AI assistants the right context, usually through MCP (the standard that lets assistants connect to outside tools). Hjarni and Unabyss are general-purpose context layers for teams, with agencies as one use case. SagaJoe is built around agency clients specifically.

Hjarni is a shared notes layer for individuals and teams; agencies use per-client folders that Claude or ChatGPT read and write through MCP. It has templates, folder roles and native apps. Context stays current when you or your assistant update the notes. Free up to 25 notes; Pro $12/month; Teams $20/seat/month.

Unabyss is a context layer for teams that connects to your existing tools (Slack, Gmail, HubSpot, ClickUp, Notion and about a dozen more) and syncs them into one context layer that AI tools read over MCP. It also offers portfolio-wide status and weekly reports. Pro $15/month, Max $89/month, Team $49/seat/month.

SagaJoe is built specifically for agencies. It builds a brief for each client from their public website, with a source and a date on every fact. You approve it once. Each week Joe re-checks the sources and proposes only what changed, for example a new price on the pricing page. Nothing changes without your approval. Copy or download the brief into any assistant today; a direct connection is in development. $45/month including 3 clients, then $15 per client.

Good for: agencies that want the upkeep handled without building a system.
How they differ: Unabyss pulls in everything from your tools automatically. Hjarni is notes you and your AI maintain together. SagaJoe watches the client's own public sources and asks before changing anything.

How to choose

Pick by two things: how many clients you manage, and whether you'd rather build the system or buy the upkeep.

Which option fits your situation
Your situation	A good fit
Under 5 clients, one assistant	Claude or ChatGPT Projects, with a dated context file per client
Your agency already runs on Notion or Airtable	Build on it, and budget time to maintain the workflows
Client knowledge lives mostly in Google Docs	NotebookLM, since Docs sources now sync automatically
You want your team and your AI writing shared notes together	Hjarni
You want everything from Slack, email and your CRM synced in	Unabyss
10+ clients, you want facts checked against the client's own site and nothing changed without approval	SagaJoe

Whatever you choose, three habits help: date every living fact, keep one source of truth per client instead of copies in each assistant, and keep each client's context strictly separate from the others.

FAQ

What is client context for AI?

It's what an AI assistant needs to know about a client to do useful work: what they sell, prices, audience, tone, rules, goals and recent decisions. Without it, assistants give generic answers or fill the gaps by guessing.

Why does client context go stale?

Clients change prices, offers, team members and priorities, and the agency often isn't told. A brief that was accurate three months ago can put an old price in an ad or a blog post.

Is a Claude or ChatGPT Project enough?

For a few clients, often yes. Projects store context well, but they don't notice when it's wrong, and the context stays inside that one assistant.

What is MCP, and why does it matter here?

MCP (Model Context Protocol) is a standard that lets AI assistants connect to outside tools. A context tool with MCP lets your assistant fetch a client's facts on demand instead of you pasting them in.

How do I keep clients' information separate?

Use one project, notebook or folder per client, and check that any connector or tool can only reach the client you're working on. Mixing two clients' context in one chat is the most common way confidential details leak.

Should AI update client context automatically?

It can draft updates, but keep a human approving them. Agents are good at extracting facts, but they sometimes over-weight a passing comment or a temporary banner.