Not a chatbot with templates.
A chat can write you a plan. It can't keep track of your company, make predictions it's held to, hand out the work, send back bad work, or remember being wrong.
How Brainis Works
Here’s what happens between “here’s my goal” and “here’s the checked result.” No magic. You can open each step and see how it works.
6–8 minute read
Step 1 of 10 · Understand
Tell me your idea, or connect the tools your company already uses. Either way, I build one picture of your company: goals, customers, deals, people, money, know-how and promises. Each entry is marked fact, assumption or limit, with its source and how fresh it is. Aster starts with 12 interviews, 5 warm prospects, a $20k budget and one strong belief.
Aster · where things stand · each fact’s source is below; hover or tap one to draw the line
Step 2 of 10 · Understand
"I want to build software that turns customer interviews into product decisions" is a wish. I turn it into a goal you can measure, with a deadline: 10 qualified design partners in 30 days. Everything after this exists to move that number.
Step 3 of 10 · Understand
Not a questionnaire. Just the three questions that matter: Who makes this buying decision today? What proves the pain is urgent? What would be true in 90 days if this worked? Answers go into your company picture; gaps become work to find out. Cortex keeps what you know apart from what you're assuming — before you bet on it.
Step 4 of 10 · Decide
My world model predicts how each path would change the company — a focused design-partner program, a self-serve beta, a services-first start. You get ranges, not fortune-telling: qualified conversations, how proven the idea is, cash left, time to first revenue. Drag the budget from $20k to $8k and watch my recommendation change, with the reason.
Recommendation · $20k
Focused design-partner program
8–14 qualified conversations
steady qualified conversations · downside: slower brand reach
Your company picture → my world model → my recommendation → the Decision Ledger → BusinessBench
Step 5 of 10 · Decide
The path I suggest comes as a decision brief: my pick, the other options, the proof, the assumptions, the downside, and how to undo it. Say yes and it goes on the Decision Ledger for good — what you saw, what I predicted, why you said yes. Most companies forget this within a week. I don't.
Decision brief · design-partner program
DECISION D-104approved · what you saw · what I predicted · why you said yes
Step 6 of 10 · Decide
Your strategy grows into a blueprint: business plan, brand, marketing plan, media plan, website plan, agent tools, go-to-market and lead strategy. Not eight documents — eight views of the same decisions. Change your target customer, and I show you the six sections and four missions that would change. Nothing changes until you say yes.
Step 7 of 10 · Deliver
Click "Build the mission plan" and the strategy becomes ten linked missions. Each has a result, deliverables, an owner, a budget, what done looks like, and the points where you decide. You see what I'll do, what needs your hands and what needs your judgment — before anything runs.
Step 8 of 10 · Deliver
Mission Control hands out the work in three lanes: your team, my agents and your connected tools. Research goes to a reasoning agent, the build to a coding agent, partner calls to the founder. My agents work inside real products — the CRM, the site, the campaigns — through Brainis MCP. Each gets only the context and tools its mission needs. AI models make great workers. Never the boss.
Step 9 of 10 · Verify
Aster's first landing page claimed "proven to increase win rate 40%." Verify sent it back — nothing backed it up. It also sent back a build whose signup lost the visitor's place after login. Both came back as fix-up work with exact notes. Both passed the second time, checked by a different checker plus the earlier tests. That's the system working, not failing.
Verify · 4 rules to meet
Deliverable · landing page v1
✕ REJECTED
‘Proven to increase win rate 40%’ — nothing backs this claim up.
Proof: 7 items · checked by a separate model · earlier tests still pass
Step 10 of 10 · Learn
Day 30: I predicted 8–14 qualified conversations; we got 11. Ten partners targeted, four signed on — and agencies, not B2B SaaS, were the most ready to pay. The record closes, the company picture updates, and my next recommendation is already different: run a pricing test for agencies. The loop doesn't end. That's the point.
Decision D-104 · day 30
record · closedPredicted
8–14
Actual
11
Partners
4 / 10
inside the range · most ready to pay: agencies
Run a pricing test for agencies.
next recommendation · rewritten from the result
A chat can write you a plan. It can't keep track of your company, make predictions it's held to, hand out the work, send back bad work, or remember being wrong.
No Brainis employee does your work. Your team and my agents do it, start to finish. If I can't do something yet, tell us, and we build it into the product.
AI models are workers in my Agent Fleet. If one slows down, the work goes to another. Your company picture, the plan, the limits you set and the checks — that's Brainis.
Each task here knows why it exists. It traces up to a mission, a decision, a goal, and where your company really stands.
Different door. Same house.
Still deciding? Read /why-brainis · see /product/agent-fleet · check /security