AI Agent Workflow Intake Template: Turn Messy Requests Into Finished Work (2026)

Most failed AI agent workflows do not fail because the model is weak. They fail because the request is vague.

"Research our competitors" is not a workflow. "Write some content" is not a workflow. "Look into churn" is not a workflow. Those are wishes wearing a cheap coat.

A useful AI crew needs the same thing a useful human team needs: a clear outcome, source material, roles, acceptance criteria, and a review loop.

Use this intake template before you dispatch a crew. If you are still deciding what to delegate first, start with these AI agent workflow examples, then come back here to write the brief.

The template

Copy this into your task brief:

Outcome:
What finished deliverable should exist when this is done?

Business context:
Why does this matter now? Who will use the output?

Source material:
Links, notes, docs, data, call transcripts, examples, constraints.

Audience:
Who is the output for? Internal operator, customer, prospect, executive, developer?

Crew roles:
Which specialists should work on this? Research, content, data, support, code, project manager?

Required sections:
What headings or components must the final answer include?

Acceptance criteria:
What would make this obviously good enough to ship?

Review rules:
What must be checked before final delivery?

Next action:
What should happen immediately after the deliverable is approved?

Example 1: competitor teardown

Weak version:

Compare us to Zapier.

Crew-ready version:

Outcome:
A 1,200-word competitor teardown comparing Crewsmith to Zapier AI for small teams.

Business context:
We want a comparison page that ranks for "Zapier AI alternative" and pushes qualified readers to the free beta.

Source material:
Zapier Agents public pages, Crewsmith BYOK positioning, existing Crewsmith comparison posts.

Audience:
Founder or operator who already uses Zapier for automation but is evaluating AI agent workflows.

Crew roles:
Research Analyst, Content Writer, SEO Strategist, Project Manager.

Required sections:
Quick verdict, comparison table, when to choose Zapier, when to choose Crewsmith, pricing posture, bottom line.

Acceptance criteria:
Clear answer in the first 100 words, no fake stats, at least two internal links, CTA to signup, neutral description of Zapier.

Review rules:
Check all internal links. Do not claim Zapier features unless verified from public docs.

Next action:
Publish as a blog post and add it to the comparison hub.

Example 2: support triage

Weak version:

Analyze these support tickets.

Crew-ready version:

Outcome:
A prioritized support-trend memo with product fixes, help-doc needs, and customer messaging.

Business context:
Support volume is rising and we need to separate bugs from confusion.

Source material:
CSV export of the last 100 support messages, current docs, product changelog.

Audience:
Founder, product lead, and support owner.

Crew roles:
Support Analyst, Data Analyst, Product Manager, Content Writer.

Required sections:
Top themes, severity table, likely root causes, proposed product fixes, proposed help docs, customer response snippets.

Acceptance criteria:
Every recommendation maps back to ticket evidence. P0 bugs are separated from education gaps.

Review rules:
Do not expose customer names or private data in the final memo.

Next action:
Create tickets for P0/P1 product fixes and draft the top three help docs.

Example 3: launch asset pack

Weak version:

Make launch content.

Crew-ready version:

Outcome:
A launch asset pack for a new ROI calculator page.

Business context:
The calculator should capture email leads from founders evaluating AI agent tools.

Source material:
Calculator copy, target persona notes, current homepage messaging, two competitor examples.

Audience:
Solo founders and agency operators.

Crew roles:
Research Analyst, Content Writer, Creative Director, Growth Marketer, Project Manager.

Required sections:
Landing page headline options, email announcement, three LinkedIn posts, five short-form hooks, FAQ, launch checklist.

Acceptance criteria:
Copy is specific, founder-friendly, and avoids enterprise fluff. Every asset points to the same CTA.

Review rules:
Check that claims match the calculator assumptions.

Next action:
Schedule the posts and add the email to the launch sequence.

How to assign roles without overbuilding

Do not add agents because it feels impressive. Add a role only when it changes the output.

| Need | Useful role | Skip if | |---|---|---| | Gather facts, links, competitors, pricing | Research Analyst | You already provided the source material | | Turn source material into readable prose | Content Writer | The output is purely structured data | | Summarize numbers or classify records | Data Analyst | There is no dataset or measurable pattern | | Turn the result into tickets and owners | Project Manager | You only need a one-off answer | | Translate a brief into implementation notes | Code Engineer | No technical change follows the work | | Improve taste, positioning, or hooks | Creative Director | The audience already has strict format requirements |

Small crews beat bloated crews. Three sharp roles usually outperform eight overlapping ones.

Acceptance criteria matter more than prompts

The acceptance criteria are the steering wheel. If the workflow will touch customers, prospects, or revenue decisions, use the AI Agent Workflow Acceptance Criteria Template after this intake is written.

Bad criteria:

• "Make it good."
• "Be detailed."
• "Use best practices."

Good criteria:

• "Answer the buyer's main objection in the first 150 words."
• "Every recommendation must cite the source note or ticket theme that caused it."
• "Final output must include a table of owners, deadlines, and next actions."
• "No fake stats; use only supplied numbers or mark assumptions clearly."

This is where most teams get sloppy. The prompt asks for work. The acceptance criteria define whether the work is usable.

The review loop

A practical review loop is short:

1. Specialist agents produce their sections.
2. Project Manager merges the work into one deliverable.
3. Reviewer checks claims, links, tone, and missing sections.
4. Crew revises once.
5. Human approves or sends it back with specific changes.

One revision loop is usually enough. Five revision loops means the intake was weak.

The fastest way to start

Pick one repeatable workflow this week:

• Weekly competitor brief.
• Support-ticket summary.
• Content refresh queue.
• Sales-call insight memo.
• Product-spec draft.

Run the template once. Save the best version as a reusable crew brief. Then run it every week with new source material.

That is how agent workflows become operations instead of experiments.

Bottom line

AI agents do not need magical prompting. They need a clean handoff.

Define the outcome, context, sources, roles, acceptance criteria, and review rules before generation starts. The crew gets sharper because the work gets less ambiguous.

If you want this built into the workflow instead of pasted into a doc, start a free Crewsmith beta workspace and turn the template into a reusable crew.