Method
The AI Factory Method
A fundamentally different approach to building software. No legacy process. No busywork. Just intelligent systems and sharp humans shipping real products.
| Traditional Agency | Cognitiv+ AI Factory | |
|---|---|---|
| Team size | 10–20 people across roles | Lean team + AI agents |
| Timeline | 3–6 months | Weeks |
| Architecture | Manual planning, long review cycles | AI-assisted design with rapid iteration |
| Development | Developers writing every line | AI-generated code, human-reviewed |
| Testing | Manual QA + slow CI | Automated AI-driven testing |
| Cost | High burn, hourly billing | Outcome-based, efficient spend |
Toolchain
The tools behind every build
Extended toolkit
Infrastructure, product, data, and agent frameworks we bring in as needed.
Supabase
Figma
Vercel
Linear
LangChain
CrewAI
AutoGen
AWS
Google Cloud
Docker
Cloudflare
GitHub
Notion
Slack
Postman
PostgreSQL
Redis
MongoDB
OpenAI
Hugging Face
PineconeProcess
Four steps from idea to product
No. 1
Discover
We define the problem, map constraints, and set success criteria — fast.
No. 2
Architect
AI agents draft system designs and data models. Humans challenge and refine.
No. 3
Build
Parallel AI agents write, test, and iterate on code. Engineers review every merge.
No. 4
Ship
Deployment, monitoring, and handoff. Real product, real users, real fast.