Progress will remain available on this page, but it will not persist after you leave. Easy Mode remains available.
About this workshop
Workshop mission: Turn motivated, open-minded, non-technical sales professionals into AI superheroes who can match the practical output and problem-solving pace of technical peers who are not using AI, while staying evidence-grounded, governed, and honest about what the tools proved.
Boundary: synthetic qualitative evidence only—not a customer KPI, measured production result, live connection, or publication approval.
Found something inaccurate? Use Report an issue at that point. It opens a prefilled GitHub issue for review and does not submit anything automatically.
These points and badges are local, self-reported workshop progress—not externally verified proof or a capability claim.
This opens one prefilled progress issue containing every badge currently earned here. Nothing syncs until you submit it. Resubmitting later merges newly earned badge IDs without duplicate score, and one public issue submission opts your GitHub account into a public verified profile.
1
Workshop setup
Open GitHub Copilot Chat
Start in GitHub Copilot Chat. No Frontier desktop app is required; the Easy Mode skill handles any additional setup.
Get ready
Open VS Code with the GitHub Copilot Chat extension installed.
Sign in to GitHub with an account that has Copilot access.
Open the Copilot Chat panel and select Agent mode.
Expected result
GitHub Copilot Chat is open in VS Code, signed in, and set to Agent mode.
What you will learn
Use the single Easy Mode skill.
Build and prove the portable agent.
Deploy the reviewed solution as an unpublished Draft.
Confirm the behavior yourself in Copilot Studio Preview.
Recognize the evidence that means the module is complete.
Before you begin
Use VS Code with GitHub Copilot Chat in Agent mode.
Sign in to GitHub with Copilot access.
Have access to a Copilot Studio environment.
The skill handles setup for you.
Do not publish. This module ends with a validated Draft.
Easy mode
2
Prepare your Copilot
Brief your Copilot with one line
One skill owns discovery, testing, Draft deployment, and Preview validation.
Do this
Open GitHub Copilot Chat in VS Code and select Agent mode.
Paste this one line and send it. Copilot reads the skill itself; nothing to download.
Send this message
Go and read https://raw.githubusercontent.com/microsoft/aibast-agents-library/main/skills/aibast-easy-mode/SKILL.md and run the Product Feedback Synthesizer workshop for me.
Expected result
Copilot says it has read the skill and is running the workshop. The skill owns the remaining setup and validation.
3
Prove the solution locally
Ask Easy Mode to build and test Product Feedback Synthesizer
This step proves the portable business logic before any Copilot Studio work begins. The harness retrieves the immutable package, verifies the source, loads the agent, and runs every locked case.
Send this message
Give me Product Feedback Synthesizer using Easy Mode and test it for me.
Expected result
Copilot reports a verified source and 6/6 locked local cases passed.
Copilot should end by suggesting the next message: Deploy it into Copilot Studio for me.
4
Create the reviewed Draft
Deploy the already-tested solution to Copilot Studio
The harness now uses the verified Microsoft Copilot Studio plugin to reuse or create the source-controlled Draft, synchronize the reviewed instructions and assets, validate the PAC project, and leave publication off.
Send this message
Deploy it into Copilot Studio for me.
Expected result
Draft: Product Feedback Manual
Model: Claude Opus 5
Knowledge files: 2
Skills: 6
Status: Draft; published: false
The harness then validates the real Preview front door before returning its final verdict.
5
Verify the real experience
Confirm the Draft in Copilot Studio Preview
The harness already runs these checks automatically. Repeat them here so you understand what was proven and can recognize a correct result yourself.
Open the validated Draft.
Select Preview.
Choose New chat before each case.
Paste the exact prompt.
Compare the answer with the required and forbidden markers.
Every case passes in a fresh Preview conversation, and the agent still appears as Draft.
PFS-01 · Product Manager
Confirm the expected evidence
Give me the cross-channel feedback picture before the weekly product review.
Must include
Total Feedback Items10,150No roadmap commitment
Must not claim
I do not have accessI cannot help
Visible positive anchors: Total Feedback Items; 10,150; No roadmap commitment. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.
PFS-02 · Engineering Lead
Confirm the expected evidence
Rank the feature-request evidence for review, but do not turn it into a roadmap.
Visible positive anchors: Advanced Reporting & Analytics; candidate_for_review; No roadmap commitment. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.
PFS-03 · Director of Product
Confirm the expected evidence
What are the strongest sentiment signals in the fictional customer snapshot?
Must include
PositiveNegativefictional pilot data
Must not claim
I do not have accessI cannot help
Visible positive anchors: fictional pilot data; Positive; Negative. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.
PFS-04 · Product Manager
Confirm the expected evidence
Frame the impact tradeoffs the product trio should validate before sequencing work.
Must include
Review CandidatesRBACNo roadmap commitment
Must not claim
I do not have accessI cannot help
Visible positive anchors: Review Candidates; RBAC; No roadmap commitment. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.
PFS-05 · Product Manager
Confirm the expected evidence
What are the biggest problems customers keep running into with the product?
Must include
Top Customer Pain PointsPerformance & Load Times (27%)No roadmap commitment
Must not claim
I do not have accessI cannot help
Visible positive anchors: Top Customer Pain Points; Performance & Load Times (27%); No roadmap commitment. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.
PFS-06 · Engineering Lead
Confirm the expected evidence
Write up engineering tickets for the most urgent fixes and a heads-up message for the team.
Must include
Jira Ticket Drafts (Not Created)P0: Performance & Load Time Optimizationno Jira ticket was created
Must not claim
I do not have accessI cannot help
Visible positive anchors: Jira Ticket Drafts (Not Created). The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.
6
Recognize completion
Know what “done” looks like
The workshop is complete only when both the portable agent and the Copilot Studio front door prove the same behavior.
Local proof6/6 locked cases passedPreview proof6/6 locked cases passedDraft identityProduct Feedback ManualModelClaude Opus 5Inventory2 knowledge · 6 skillsPublication gateDraft · published false
The harness reports status: complete, exact case totals, the Draft identity, and published: false. The module ends here; it does not offer publication.
Troubleshooting
What you see
What it means
What to do
Copilot ignores the workshop
The wrong skill was read, or the chat began before the one line was sent.
Start a new Agent-mode chat and send the one line first.
Local validation is not 6/6
The portable source, package, or locked behavior does not match.
Stop. Do not deploy. Let the harness report the exact failed case and marker.
No active Copilot Studio environment
PAC has no selected environment.
Sign in or select the intended environment, then resend the deploy message.
The Draft already exists
The recorded schema is already in the environment.
The harness should clone and reconnect automatically. Treat an attendee choice prompt as a harness defect.
A Preview case misses a marker
The real front door does not match the reviewed contract.
Keep the case failed. Inspect instructions and assets; do not retry until it happens to pass.
The agent is Published
The workshop crossed its safety boundary.
Stop immediately. The module must end at Draft with published: false.
Facilitator evidence and portable download
These links support audit, troubleshooting, and offline delivery. They are not learner steps.
See how Product Feedback Synthesizer Agent is built, one capability at a time.
Optional. Easy mode already did all of this for you from one skill file. This path replays every action the AI took, one real browser frame per step, so you can understand the agent before you adapt it. No PAC CLI, YAML import, or plugin architect; stop at Draft.
Synthetic disclosure: this is qualitative workflow evidence using packaged synthetic inputs. It is not a customer KPI or a live-system result.
Found something inaccurate? Use Report an issue on that step. It opens a prefilled GitHub issue for review and does not submit automatically.
Manual-mode progress is saved on this device and contributes to the same achievement profile.
Build and verify
1
Create a blank Copilot Studio agent
Step 1 of 24
Action
Create a blank Copilot Studio agent
Expected resultA blank Copilot Studio agent is visible in the captured Draft workspace.
Positive visual checkpoint: Untitled Agent. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
2
Name Product Feedback Manual
Step 2 of 24
Action
Product Feedback Manual
Name Product Feedback Manual
Expected resultThe page header shows the recorded manual build name: Product Feedback Manual.
Positive visual checkpoint: Product Feedback Manual. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
3
Enter the reviewed global instructions
Step 3 of 24
Action
# Product Feedback Synthesizer Agent — Manual Global Instructions
You are a synthetic product-evidence pilot for product managers, engineering
leads, and product directors. Turn feedback noise into evidence the product
trio can debate without converting evidence into a roadmap decision.
## Fixed synthetic snapshot
- Use only the uploaded Product Feedback Synthesizer records, review rules,
and six packaged skills.
- The snapshot is last quarter (Q3): 10,150 fictional feedback items from
Zendesk tickets, Jira feature requests, App Store and G2 reviews; sentiment
7.2/10 (up from 6.8 in Q2); five ranked pain points led by Performance &
Load Times (27%); five requested features led by Advanced Reporting &
Analytics (31%); a Q1 priority ranking with two P0 and one P1 items.
- Treat every account, excerpt, channel, vote, score, effort label, ARR weight,
date, and status as invented pilot evidence.
- Do not browse, retrieve external feedback, or add competitive, customer,
market, engineering, or roadmap facts. Never invent an entry, request,
metric, theme, priority, status, or commitment.
- Statuses such as `candidate_for_review` and `evidence_under_review` are
review labels, not delivery plans.
## Natural-language routing
- Use **cross-channel feedback summary** for volume, channel, category, and
synthetic commercial-context questions.
- Use **feature-request evidence ranking** for request comparisons using the
supplied votes, ARR weights, and effort labels.
- Use **sentiment and NPS evidence** for fictional sentiment splits, excerpts,
and NPS trends.
- Use **roadmap review candidates** for the Q1 priority ranking (impact vs
effort) and evidence the product trio should validate before sequencing.
- Use **pain points** for the top customer pain points and churn / competitive
signals.
- Use **Jira ticket drafts** when asked to create tickets for the P0 and P1
items or notify engineering: return the drafts and a draft team message;
nothing is created or sent.
## Human and side-effect gates
- Never contact a customer, change an account, create or update a Jira ticket,
post or send a team notification (drafts only), assign engineering work, alter a backlog, or commit a roadmap.
- Never infer protected traits, intent, or churn from sentiment, a score, or a
single excerpt.
- Votes, ARR weights, effort labels, and sentiment are review inputs only.
Product, engineering, design, security, support, and commercial owners retain
prioritization and sequencing authority.
- Never claim that an external workflow or product action occurred.
## Evidence-first response contract
1. Lead with the strongest synthetic signal or comparison relevant to the
question.
2. Cite the stable feedback or feature-request ID and the supplied evidence.
3. Name assumptions, conflicting signals, and validation owners.
4. Frame conclusions as review candidates, never decisions or commitments.
5. End substantive answers with: **Synthetic product evidence only. No ticket,
customer action, account change, or roadmap commitment occurred.**
<!-- locked-preview-anchors:start -->
## Skill routing map
Route from the user's natural-language intent to the correct skill below. Do not narrate internal retrieval, tool selection, restrictions, or implementation mechanics; present only the user-facing result.
- `PFS-01` uses skill `feedback-summary`.
- `PFS-02` uses skill `feature-requests`.
- `PFS-03` uses skill `sentiment-analysis`.
- `PFS-04` uses skill `roadmap-impact`.
- `PFS-05` uses skill `pain-points`.
- `PFS-06` uses skill `draft-jira-tickets`.
These skill names above are the ONLY valid skill identifiers. Never invent, guess, or reference any other skill name. If the correct skill or its knowledge cannot be loaded after one retry in the same turn, say so honestly and stop. Do not answer using values you already know from these instructions or from general knowledge -- a response with no real citation is not acceptable output.
<!-- locked-preview-anchors:end -->
Enter the reviewed global instructions
Expected resultThe reviewed manual/GLOBAL-INSTRUCTIONS.md policy is visible or saved without unrecorded edits.
Positive visual checkpoint: Product Feedback Synthesizer Agent — Manual Glob. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
4
Save the instruction policy
Step 4 of 24
Action
Save the instruction policy
Expected resultThe reviewed manual/GLOBAL-INSTRUCTIONS.md policy is visible or saved without unrecorded edits.
Positive visual checkpoint: Draft. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
5
Remove default web search
Step 5 of 24
Action
Remove default web search
Expected resultThe captured inventory no longer lists the default web-search capability.
Positive visual checkpoint: Provide trusted context to guide decisions. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
Expected resultThe exact knowledge file linked for this step is attached under its complete filename. Wait for processing to finish before continuing. This step does not require the final inventory or prove the other uploads.
Positive visual checkpoint: aibast_product-feedback-synthesizer-rules-and-gu. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
Expected resultThe exact knowledge file linked for this step is attached under its complete filename. Wait for processing to finish before continuing. This step does not require the final inventory or prove the other uploads.
Positive visual checkpoint: aibast_product-feedback-synthesizer-synthetic-re. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
8
Add skill: aibast_draft-jira-tickets_06
Step 8 of 24
Action
Add skill: aibast_draft-jira-tickets_06
Expected resultThe linked SKILL.md appears with its frontmatter name and description. Open it and compare the complete instructions with the source file. This step does not require the final inventory or prove the other uploads.
Positive visual checkpoint: draft-jira-tickets. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
9
Add skill: aibast_feature-requests_02
Step 9 of 24
Action
Add skill: aibast_feature-requests_02
Expected resultThe linked SKILL.md appears with its frontmatter name and description. Open it and compare the complete instructions with the source file. This step does not require the final inventory or prove the other uploads.
Positive visual checkpoint: feature-requests. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
10
Add skill: aibast_feedback-summary_01
Step 10 of 24
Action
Add skill: aibast_feedback-summary_01
Expected resultThe linked SKILL.md appears with its frontmatter name and description. Open it and compare the complete instructions with the source file. This step does not require the final inventory or prove the other uploads.
Positive visual checkpoint: feedback-summary. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
11
Add skill: aibast_pain-points_05
Step 11 of 24
Action
Add skill: aibast_pain-points_05
Expected resultThe linked SKILL.md appears with its frontmatter name and description. Open it and compare the complete instructions with the source file. This step does not require the final inventory or prove the other uploads.
Positive visual checkpoint: pain-points. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
12
Add skill: aibast_roadmap-impact_04
Step 12 of 24
Action
Add skill: aibast_roadmap-impact_04
Expected resultThe linked SKILL.md appears with its frontmatter name and description. Open it and compare the complete instructions with the source file. This step does not require the final inventory or prove the other uploads.
Positive visual checkpoint: roadmap-impact. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
13
Add skill: aibast_sentiment-analysis_03
Step 13 of 24
Action
Add skill: aibast_sentiment-analysis_03
Expected resultThe linked SKILL.md appears with its frontmatter name and description. Open it and compare the complete instructions with the source file. This step does not require the final inventory or prove the other uploads.
Positive visual checkpoint: sentiment-analysis. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
14
Review model, skills, knowledge, and safety boundaries
Step 14 of 24
Action
Review model, skills, knowledge, and safety boundaries
Expected resultThe screenshot visibly confirms Claude Opus 5, 6 rendered skills, and no tools. Knowledge is verified separately in the two knowledge-upload checkpoints.
Positive visual checkpoint: Claude Opus 5; sentiment-analysis; roadmap-impact; pain-points; feedback-summary; feature-requests; aibast_product-feedback-synthesizer-synthetic-re; aibast_product-feedback-synthesizer-rules-and-gu. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
15
Review the skill list (6 skills)
Step 15 of 24
Action
Review the skill list (6 skills)
Expected resultThe screenshot visibly confirms Claude Opus 5, 6 rendered skills, and no tools. Knowledge is verified separately in the two knowledge-upload checkpoints.
Positive visual checkpoint: sentiment-analysis; roadmap-impact; pain-points; feedback-summary. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
16
Review the rest of the skill list
Step 16 of 24
Action
Review the rest of the skill list
Expected resultThe screenshot visibly confirms Claude Opus 5, 6 rendered skills, and no tools. Knowledge is verified separately in the two knowledge-upload checkpoints.
Positive visual checkpoint: pain-points; feedback-summary; feature-requests; draft-jira-tickets. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
17
Open a fresh Preview conversation
Step 17 of 24
Action
Open a fresh Preview conversation
Expected resultA fresh Preview surface or its recorded qualitative result is visible; only the evidence file defines a pass.
Positive visual checkpoint: Product Feedback Manual. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
18
Pass PFS-01: Product Manager
Step 18 of 24
Action
Give me the cross-channel feedback picture before the weekly product review.
Pass PFS-01: Product Manager
Expected resultThe captured Preview evidence records PFS-01 with the recorded identifiers Total Feedback Items, 10,150, No roadmap commitment; do not infer results beyond it.
Before this case
Open Preview in a fresh conversation before running PFS-01. A previous response must not influence the evidence.
Positive visual checkpoint: Total Feedback Items; 10,150; No roadmap commitment. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
19
Pass PFS-02: Engineering Lead
Step 19 of 24
Action
Rank the feature-request evidence for review, but do not turn it into a roadmap.
Pass PFS-02: Engineering Lead
Expected resultThe captured Preview evidence records PFS-02 with the recorded identifiers Advanced Reporting & Analytics, candidate_for_review, No roadmap commitment; do not infer results beyond it.
Before this case
Open Preview in a fresh conversation before running PFS-02. A previous response must not influence the evidence.
Positive visual checkpoint: Advanced Reporting & Analytics; candidate_for_review; No roadmap commitment. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
20
Pass PFS-03: Director of Product
Step 20 of 24
Action
What are the strongest sentiment signals in the fictional customer snapshot?
Pass PFS-03: Director of Product
Expected resultThe captured Preview evidence records PFS-03 with the recorded identifiers Positive, Negative, fictional pilot data; do not infer results beyond it.
Before this case
Open Preview in a fresh conversation before running PFS-03. A previous response must not influence the evidence.
Positive visual checkpoint: fictional pilot data; Positive; Negative. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
21
Pass PFS-04: Product Manager
Step 21 of 24
Action
Frame the impact tradeoffs the product trio should validate before sequencing work.
Pass PFS-04: Product Manager
Expected resultThe captured Preview evidence records PFS-04 with the recorded identifiers Review Candidates, RBAC, No roadmap commitment; do not infer results beyond it.
Before this case
Open Preview in a fresh conversation before running PFS-04. A previous response must not influence the evidence.
Positive visual checkpoint: Review Candidates; RBAC; No roadmap commitment. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
22
Pass PFS-05: Product Manager
Step 22 of 24
Action
What are the biggest problems customers keep running into with the product?
Pass PFS-05: Product Manager
Expected resultThe captured Preview evidence records PFS-05 with the recorded identifiers Top Customer Pain Points, Performance & Load Times (27%), No roadmap commitment; do not infer results beyond it.
Before this case
Open Preview in a fresh conversation before running PFS-05. A previous response must not influence the evidence.
Positive visual checkpoint: Top Customer Pain Points; Performance & Load Times (27%); No roadmap commitment. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
23
Pass PFS-06: Engineering Lead
Step 23 of 24
Action
Write up engineering tickets for the most urgent fixes and a heads-up message for the team.
Pass PFS-06: Engineering Lead
Expected resultThe captured Preview evidence records PFS-06 with the recorded identifiers Jira Ticket Drafts (Not Created), P0: Performance & Load Time Optimization, no Jira ticket was created; do not infer results beyond it.
Before this case
Open Preview in a fresh conversation before running PFS-06. A previous response must not influence the evidence.
Positive visual checkpoint: Jira Ticket Drafts (Not Created); no Jira ticket was created. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
24
Confirm Draft and stop before publish
Step 24 of 24
Action
Confirm Draft and stop before publish
Expected resultThe agent remains Draft and no Publish action is taken.
Positive visual checkpoint: Product Feedback Manual. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
Manual-mode troubleshooting
A screenshot or browserfilm frame is missing
Stop. Do not invent, recreate, or substitute an image. Capture the real frame, update the browserfilm manifest, and regenerate without --allow-pending.
A knowledge file is still processing
Wait for ingestion to finish before Preview. A partial answer is not evidence.
A skill upload fails
Use the linked raw SKILL.md. Fix the reviewed source deliberately; do not silently skip the action.
The model differs from Easy mode
Record the substitution and stop the parity claim until Easy and Manual use the same reviewed model.
The Preview answer misses an identifier
Mark the recorded case failed, inspect instructions and inventory, then replay the exact prompt in a fresh conversation.
Should I publish?
No. Keep this manual duplicate in Draft unless publication is separately approved. Do not choose Publish as part of this tutorial.