Muundo wa workflow ya agent
Day 13 of 30 · AI Jeneretivu 2026: Jenga App na Agent za AI
One-liner: Panga hatua za agent ili ziwe wazi, ndogo, na zinazoweza kupimwa.
Time: 20 hadi 30 dakika
Deliverable: Ramani ya Workflow ya Agent na Hatua
Learning goal
You will be able to: Kubuni workflow ya agent yenye hatua wazi na vigezo vya mafanikio.
Success criteria (observable)
- Workflow ina hatua angalau 4 zinazofuatana.
- Kila hatua ina input na output iliyoelezwa.
- Hatua moja ina guardrail au verification.
Output you will produce
- Deliverable: Ramani ya Workflow ya Agent na Hatua
- Format: Orodha ya hatua na mchoro rahisi
- Where saved: Kwenye folda ya kozi ndani ya
/generative-ai-2026-build-ai-apps-and-agents-sw/
Who
Primary persona: Digital nomad anayebuni workflow ya agent Secondary persona(s): Watumiaji wanaotegemea matokeo sahihi Stakeholders (optional): Washirika wa ujenzi
What
What it is
Mpangilio wa hatua ndogo ambazo agent hufuata ili kutoa matokeo. Inaleta uwazi kwa input, output, na hatua za uamuzi.
What it is not
Si mtiririko mrefu wa hatua zisizo na mipaka. Si mbadala wa logic ya bidhaa au approvals.
2-minute theory
- Workflow iliyo wazi hupunguza makosa na kurudia kazi.
- Hatua ndogo hufanya agent kuwa rahisi kupima.
- Guardrails huzuia matokeo ya hatari.
Key terms
- Workflow: Mpangilio wa hatua zinazofuatana kufikia lengo.
- Guardrail: Sheria inayozuia hatua hatari.
Where
Applies in
- Agent orchestration
- Backend flows
Does not apply in
- Tasks moja inayokamilika kwa prompt moja
Touchpoints
- Flow diagrams
- Step logs
- Test scenarios
When
Use it when
- Agent ina hatua nyingi
- Unahitaji ufuatiliaji wa makosa
Frequency
Kila unapoanzisha agent mpya
Late signals
- Agent kuruka hatua muhimu
- Output kutokueleweka
Why it matters
Practical benefits
- Uthabiti wa matokeo
- Debugging ya haraka
- Usalama wa actions
Risks of ignoring
- Workflow isiyoeleweka
- Matokeo yasiyotabirika
Expectations
- Improves: uelewa na uthabiti
- Does not guarantee: matokeo kamili
How
Step-by-step method
- Tambua lengo la mwisho la agent.
- Gawa kazi kuwa hatua ndogo 4 hadi 6.
- Weka input na output kwa kila hatua.
- Ongeza hatua ya verification au guardrail.
- Andika mkondo wa data kati ya hatua.
Do and don't
Do
- Weka hatua fupi na zinazoeleweka
- Log hatua muhimu
Don't
- Kuruka hatua za uthibitisho
- Kuunganisha tasks nyingi kwenye hatua moja
Common mistakes and fixes
- Mistake: Hatua kubwa mno. Fix: Gawanya kuwa hatua mbili.
- Mistake: Hakuna verification. Fix: Ongeza check ya ubora.
Done when
- Hatua zote zina input na output.
- Kuna angalau guardrail moja.
- Workflow ina mchoro au orodha iliyo wazi.
Guided exercise (10 to 15 min)
Inputs
- Lengo la agent
- Matokeo yanayotakiwa
Steps
- Andika hatua 5 za workflow.
- Eleza input na output kwa kila hatua.
- Ongeza guardrail kwenye hatua moja.
Output format
| Field | Value |
|---|---|
| Step list | |
| Inputs | |
| Outputs | |
| Guardrail |
Pro tip: Anza na hatua ya kuelewa tatizo kabla ya kutoa output.
Independent exercise (5 to 10 min)
Task
Punguza hatua moja na uone kama workflow bado inaeleweka.
Output
Workflow iliyosafishwa na maelezo mapya.
Self-check (yes/no)
- Je, hatua zinafuatana kwa mpangilio?
- Je, input na output vimeelezwa?
- Je, kuna guardrail?
- Je, workflow ni rahisi kufuata?
Baseline metric (recommended)
- Score: Hatua 4 kati ya 5 ziko wazi
- Date: 2026-02-07
- Tool used: Notes app
Bibliography (sources used)
Agent Design Patterns. OpenAI. 2026-02-06. Read: https://platform.openai.com/docs
Workflow Automation Basics. Zapier. 2024-01-01. Read: https://zapier.com/learn/automation/what-are-workflows/
Read more (optional)
- Agent Orchestration Guide Why: Mifumo ya kupanga hatua za agent. Read: https://platform.openai.com/docs