2025: AI agents
The year the job changed from building models to building workers, and the first year of agency work at Canz Marketing.
- Status
- stable
- Trust
- human-reviewedhuman:rrizwan98 ·
- Approved
- human:rrizwan98 ·
This is the year the job title started to change. Instead of building models, the repositories start building workers: software that reads, decides, uses tools and finishes a task. 18 repositories, 10 of them private, 9 of those agency work.1
What happened
- OpenAI Agents SDK. A customer-support agent in February, a meeting-booking agent in November, math and calculator agents in November.2
- First agency work at Canz Marketing. From May, the agency's first agents repository; from August, a client platform (backend and frontend) and the plant-identification app rebuilt as three services, one of them a chat service on the OpenAI Agents SDK. All private.
- Agent infrastructure. StoreLite IMS in December: an inventory and billing system built in phases, with FastAPI, MCP and agents working together in one backend.2
- Learning alongside. A fork of the Panaversity agentic-AI curriculum in July, and a robotics-textbook hackathon repository in December.
The public repositories
| Created | Repository | What it is |
|---|---|---|
| 2025-02-06 | agentic-portfolio | Website |
| 2025-02-21 | customerSupportAgent | Customer-support agent |
| 2025-06-23 | G_drive_config | Google Drive configuration |
| 2025-11-14 | meetbooking-agent | Meeting-booking agent |
| 2025-11-20 | calc-project | Calculator project |
| 2025-11-29 | math-agent | Math agent |
| 2025-12-02 | hackathon-robotics-textbook | Hackathon: robotics textbook |
| 2025-12-07 | StoreLite-IMS | Inventory and billing system; Python backend with FastAPI, MCP and agents, built in phases |
Private work
Ten private repositories: the agency's first agents repository, a client platform in two parts (backend and frontend), the rebuilt plant-identification app as three services (identification, chat, search), a portfolio site for a client, a testing sandbox and a GPT-based agent experiment.1 They are counted here and never named.
What this era taught
The leap from AI that answers to AI that acts: tools, guardrails and bounded loops.2
Next: 2026: AI employees and MCP connectors.
Footnotes
Sources
- [^github-repos]GitHub API, repositories owned by rrizwan98, read 26 August 2026
- [^journey-note]From Predictive AI to Forward Deployed Engineer: My 6-Year Journey, Raza Rizwan, July 2026
2024: GenAI APIs and microservices
The year LLM features were shipped as clean, documented APIs, and the first paid client app was built.
2026: AI employees and MCP connectors
The Forward Deployed Engineer work, where AI systems hold real jobs inside a business and nine live MCP connectors run an agency's operations.