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

  1. Tambua lengo la mwisho la agent.
  2. Gawa kazi kuwa hatua ndogo 4 hadi 6.
  3. Weka input na output kwa kila hatua.
  4. Ongeza hatua ya verification au guardrail.
  5. 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

  1. Andika hatua 5 za workflow.
  2. Eleza input na output kwa kila hatua.
  3. 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)

  1. Agent Design Patterns. OpenAI. 2026-02-06. Read: https://platform.openai.com/docs

  2. Workflow Automation Basics. Zapier. 2024-01-01. Read: https://zapier.com/learn/automation/what-are-workflows/

Read more (optional)

  1. Agent Orchestration Guide Why: Mifumo ya kupanga hatua za agent. Read: https://platform.openai.com/docs