# AI Training Week 4: Agents + Hackathon (Without Code)

> Week 4 of a 6-week corporate AI program: a no-code agents hackathon where every team ships one multi-step automation by Friday — built on the use cases from week 2.

- Author: Yaroslav Maxymovych (Founder & CEO, AI Advisory Board)
- Published: 2026-05-08
- Updated: 2026-09-30
- Source: https://aiadvisoryboard.me/blog/ai-training-week-4-agents-hackathon

If you're an owner reading this and wondering whether your team can really build "agents" without engineers — yes, they can, but only if week 4 is structured as a hackathon, not a tutorial.

## TL;DR

- Week 4 is the first time the program ships multi-step automations, not just prompts.
- Use no-code agent platforms (Zapier AI, Make, Microsoft Copilot Studio, n8n cloud) — no engineering team required.
- Each role-track commits to one shipped agent by Friday, scoped to the week-2 use case they picked.

## Why agents belong in week 4 — not week 1, not week 6

Earlier than week 4, the team doesn't have the prompt judgment to design a multi-step flow without it collapsing. Later than week 4, momentum bleeds out and the program becomes performative.

Stanford's 51-deployment study found that escalation-routing AI (where the agent does the easy 80% and routes the rest) yielded around 71% productivity gain, while approval-routing (where every step waits for human approval) yielded only around 30%. Agents are the artifact that lets you cross from prompt-level uplift to workflow-level uplift — but only if the team has the judgment to draw the right human-vs-agent line. That judgment is what weeks 1-3 built.

> **Definition:** Agent — a multi-step AI workflow that takes an input, runs through 2+ tool calls (read email, look up CRM, draft response), and produces an output without a human in every step.

## What "no-code" actually means in week 4

The platforms that work for an SMB hackathon:

- **Zapier AI / Make** — best for cross-tool flows (Slack→CRM→Gmail→Sheets).
- **Microsoft Copilot Studio** — best when you're Office-anchored and the agent needs to live inside Teams/Outlook.
- **n8n (cloud)** — best when you want self-hosted control without writing code.
- **Custom GPTs / Claude Projects** — best for single-user agents (a sales rep's personal "outbound assistant").

Pick one platform per role-track, not one for the company. Each track gets the platform that fits the use case they committed to in week 2.

> **Definition:** No-code agent platform — a visual builder where employees connect AI models, business apps, and triggers without writing programming code. Logic is configured in dropdowns and prompts.

## How to structure week 4

The format that consistently produces shipped agents:

1. **Monday — 60-minute kickoff.** Champions demo two agents they built in advance. Not slides — live runs.
2. **Tuesday — 90-minute platform onboarding per role-track.** Champion walks the team through the platform. One platform per track.
3. **Wednesday/Thursday — async build time (3-4 hours total per person).** Pairs build their agent. Champion is on call in cohort Slack.
4. **Friday — 90-minute hackathon demo.** Each team shows their shipped agent, end-to-end, on real data.

Pairs, not individuals. The agent that survives the demo is almost always the one that was rubber-ducked with a partner during the build.

## The hackathon brief (copy/paste)

```
Pick ONE use case from your role-track's week-2 backlog.
The agent must:

1. Have a real trigger (an email arrives, a form is submitted, a row is added).
2. Read at least one source of context (CRM, Sheet, calendar, knowledge base).
3. Use AI to draft, classify, or decide ONE thing.
4. Produce a real output that goes somewhere a human will see (Slack, draft email, ticket).
5. Have a human-in-the-loop step at the end. NO autonomous send to customers in week 4.

Build with your assigned platform. Pair with one teammate.
Friday demo: 5 minutes. End-to-end. Real data. No slides.
```

The "no autonomous send to customers" rule is non-negotiable in week 4. That's a week-5 conversation (Responsible AI), not a week-4 conversation.

> **Tool tip (Course for Business):** The reason a no-code hackathon works in week 4 is that **Augment, don't replace** is now a built habit, not a slogan. By week 4 the team understands which steps need human judgment and which don't — they design the human-in-the-loop step naturally. The **6-week program** at https://course.aiadvisoryboard.me/business runs the agents hackathon as paired builds with mandatory human-in-the-loop, exactly because un-paired builds collapse 70% of the time. (Course for Business)

## What a week-4 agent actually looks like

Real examples from cohorts of 30-500-employee companies (anonymized):

**Sales — Lead-research agent (built on Zapier).** New lead enters HubSpot → agent reads website + LinkedIn → drafts a 3-bullet briefing into Slack DM to the AE → AE reviews and sends. Time-saved: ~25 minutes per lead.

**Operations — Vendor-email triage (built on Make).** New email to ops@ inbox → agent classifies (invoice / inquiry / urgent / spam) → drafts reply for invoice/inquiry → posts to a Slack channel for human approval. Time-saved: ~3 hours/week per ops person.

**Finance — Variance explainer (built on Copilot Studio).** Monthly close uploads to SharePoint → agent reads variance lines vs prior month → drafts 1-paragraph explanation per line → finance lead reviews and approves. Time-saved: ~5 hours per close cycle.

**CS — First-response drafter (built on Custom GPT + Zendesk).** New tier-1 ticket → agent looks up customer history → drafts a first reply → CS rep reviews and sends. Deflection improvement seen at peer companies has been around 30% in 4-6 weeks (Intercom Fin pattern).

### Good vs bad week-4 agents

**Bad:** "An agent that sends customer emails autonomously."
**Good:** "An agent that drafts the email, posts the draft to Slack, waits for thumbs-up, then sends."

**Bad:** "An agent that does everything in our sales process."
**Good:** "An agent that does step 3 of our sales process — research the lead — and hands off to the AE."

The good versions are scoped to one step, with a clean human handoff.

## Team scan (what AI champions report after week 4)

- Most cohorts ship 60-80% of the agents they start. The other 20-40% die on data-access issues, not AI issues.
- The agents that survive Friday demo and stay running by week 6 are almost always the ones with a thumbs-up-in-Slack step.
- Engineering teams want to skip no-code and write Python. Hold them to no-code in week 4 — week 6 is for code volunteers if they want.
- Champions report that pairs ship roughly 2x more often than solo builders.
- The most common failure pattern is over-scoped ambition: "let's automate the whole sales cycle." Champion's job is to scope it down on Tuesday.
- Around 1 in 4 agents reveals a data-pipeline problem (CRM hygiene, missing fields) that has to be fixed before the agent ships.
- Sales and CS agents typically ship fastest; finance agents take longer because of data-access reviews.
- Leaders report that Friday demos build more cross-team momentum than any all-hands.
- The cohort Slack peaks in volume during week 4 — peer-to-peer help is what makes the platform learning curve survivable.
- Cost surprise: most week-4 agents run for under $30/month per role-track at SMB volumes.

## Micro-case (what changes after 7-14 days)

A 160-person B2B SaaS company I advised ran week 4 across four role-tracks, paired-build format. By Friday, 11 of 13 paired teams had a working end-to-end agent demoed on real data. By day 14, six of those eleven were running in production with daily use. The CS first-response agent was the standout: 84% of tier-1 tickets received a draft within 30 seconds of arrival, the rep reviewed and sent — saving an estimated 70 person-hours per month across the team. The CFO, who had blocked a similar effort in 2024 ("we'll wait for vendors to build it"), approved an expansion budget by day 17. Compare to a peer firm that ran week 4 as a vendor demo session: zero agents shipped, $80k spent on consultant decks.

> **Note on this case:** This example is illustrative — based on typical patterns we observe with companies of 30-500 employees, not a single named client. Specific numbers are rounded approximations of common ranges, not guarantees.

> **Tool tip (Course for Business):** The single biggest week-4 anti-pattern is letting one engineer-on-the-team try to build agents in code while the rest of the cohort uses no-code. It splits the cohort into two classes — the "real builders" and the rest — and silently kills **AI Champions (1:15-20)** dynamics. The **6-week program** at https://course.aiadvisoryboard.me/business keeps everyone on no-code through week 4 by design — code volunteers can fork into a track in week 6. (Course for Business)

## FAQ

**Do we need to buy enterprise licenses for the agent platforms?**
Most platforms have team plans under $300/month for week-4 build volume. Don't enterprise-procure in week 4 — use team plans, validate, then negotiate enterprise in week 6 or later.

**What about data privacy in agent builds?**
Use the same data-handling rules from week 3's tool deep-dive. If a tool isn't sanctioned for your data class, the agent doesn't see that data. Champions enforce in the build review.

**Should agents be allowed to send messages to customers?**
Not in week 4. Human-in-the-loop is mandatory. Autonomous customer-facing comes after the Responsible-AI conversation in week 5. (We separately have an advisory product on the daily-management side, but that's a different scope.)

**What if a team can't get their agent to work by Friday?**
That's a valid demo. They show the half-built flow, name the blocker, and the cohort helps debug. Half-built agents that get unblocked over the weekend ship more often than "perfect" agents demoed on Friday.

**How do we keep the agents running after week 4?**
Each role-track names an agent owner — usually the champion. Week 5 includes a 30-minute "agent health" check-in. Don't skip it.

## Conclusion

Week 4 is where the program leaves prompt-land and enters automation-land. No-code platforms, paired builds, scoped use cases, mandatory human-in-the-loop. By Friday, the company has shipped real agents on real data — usually for the cost of a few coffees. That changes the conversation about AI internally for good.

Next step: assign one no-code platform per role-track and have champions run the Tuesday onboarding before midweek.

If you want every employee to ship their first AI automation in five days — book a 30-min call and we'll map your team's first week: https://course.aiadvisoryboard.me/business

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