PLANNER · 01

Gemini Update-to-Workflow Action Planner

Use the update wave to improve one repeated business job—not to collect more tools.

1. Choose the business outcome

The repeated job

What happens weekly or more often?

The result that matters

What should become faster, clearer, safer, or more consistent?

2. Establish the baseline

Time today

Minutes or hours per run

Typical revisions

How many rounds?

Common failure

What causes delay or rework?

3. Build the approved source brief

Required context

Offer, audience, proof, policies, tone, examples, and approved facts.

Boundaries

Private data, prohibited claims, decisions requiring review, and actions AI may not take.

4. Choose the role for each capability

IMAGE

What visual should AI prepare?

VIDEO

What short sequence or explainer?

MUSIC

Would original audio help?

AGENT

What may it classify or draft?

MOBILE

What next action should travel?

5. Draw the approval path

1. INPUT

Approved source enters the workflow.

2. CREATE

AI prepares the first result.

3. CHECK

Verify facts, rights, and policy.

4. APPROVE

Name the responsible person.

5. RECORD

Save the final result and lesson.

PLANNER · 02

Run a 30-Day Evidence-Based Pilot

Keep the pilot small enough to understand and real enough to measure.

Week-by-week plan

Week	Goal	Actions
1 — Baseline	Understand the current workflow.	Time three runs. Count revisions. Note errors and delays.
2 — Prototype	Build the smallest useful version.	Prepare sources, prompts, templates, permissions, approval, and fallback.
3 — Run	Use it on real work.	Review every output. Log exceptions and human changes.
4 — Decide	Keep, improve, or stop.	Compare evidence to the baseline and choose the next action.

Success scorecard

Measure	Before	After	Target	Decision
Time per run
Revision rounds
Factual / policy errors
Completion rate
Customer / team outcome

Responsible-use gate

Only approved data and source material are used.

Important facts, claims, names, numbers, and links are verified.

Rights, consent, accessibility, and AI disclosure are checked.

A person is named for final approval and exceptions.

Plan, region, feature access, and usage limits are confirmed.

The workflow has a fallback when a feature is unavailable.

Customer-facing and sensitive actions remain reviewable.

Final results and changes are recorded outside a single chat.

Final decision

KEEP

What is already dependable?

IMPROVE

What one change comes next?

STOP / REPLACE

What did not earn a place?