Blog
Insights, updates, and stories from the flAim team.
When You Should Not Use a Multi-Agent Workspace
If you send one question to one model, alone, keep ChatGPT. A multi-agent workspace is for work that spans models, needs shared context, or needs a teammate in the room.
Read articlePipeline: Research, Outline, Draft Without Running the Playbook Yourself
Build mode is for ordered handoffs: research, then outline, then draft, then a synthesized result. You inspect the plan. You are not the clipboard.
Read articleWriting Studio: Editor Agent + Draft Notes (Not Another Blank Chat)
Keep the draft in shared notes. Use one agent to generate and another to edit. Outline, draft, and edit can be a Chat comparison or a Build chain.
Read articleResearch Workspace: Two Agents, One Source of Truth
Run a research loop with two agents and shared notes so sources live in one place. Do not let two models invent conflicting citations.
Read articleWhat ZDR Routing Actually Means (And What It Does Not)
On Team workspaces, ZDR means zero data retention after delivery: prompts and responses are not stored. It is a data-handling option, not a reliability guarantee.
Read articleShared Context: Notes and Docs the Whole Workspace Can Use
Chat memory lives in one person's thread. Shared notes and docs are the source of truth every agent and teammate can see.
Read articleWhat 100 Credits Actually Buys (And When BYOK Is Cheaper)
Free includes 250 credits as backup when included models get busy; paid plans can add packs that persist until spent.
Read articleDo You Need an API Key to Use Multiple AIs?
No. Managed credits let you prompt several models without a key. BYOK is optional on paid plans for long-tail providers.
Read articleHow We Compare Models in One Workspace (A Method, Not a Leaderboard)
A repeatable bake-off: same prompt, shared notes, score the task, then decide whether to add Grok or DeepSeek. Rankings rot. A method stays useful.
Read articleChat vs Build: When to Compare Models and When to Chain Them
Chat is one shared thread: @ one agent, then another that continues, or send to everyone. Build chains agents from one prompt. The orchestrator is useful routing, not magic.
Read articleThe Copy-Paste Tax: Why People Become the Orchestration Layer
When ChatGPT lives in one tab and Claude in another, you become the router. The copy-paste tax is that unpaid job.
Read articleWhat Is a Multi-Agent Workspace? (And Why a Chatbot Is Not One)
A multi-agent workspace is several models, shared context, optional orchestration, and optional live collaboration. A chatbot is one thread with one model.
Read articleWhy We Stopped Using ChatGPT (And Built Our Own AI Workspace)
We didn't quit ChatGPT because it was bad. We quit because one model, one thread, and one person stopped being enough.
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