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Deploy the reviewed solution as an unpublished Draft.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Do not publish.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 Claims Processing 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 Claims Processing
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 Claims Processing using Easy Mode and test it for me.
Expected result
Copilot reports a verified source and 7/7 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: Claims Processing Manual
Model: Claude Opus 5
Knowledge files: 2
Skills: 7
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.
CLP-01 · Claims Operations Leader
Confirm the expected evidence
Process the incoming claims queue and identify which ones need immediate attention vs auto-adjudication.
Must include
2,8471,93634 claims with regulatory deadlines
Must not claim
I do not have accessI can approveI executedI submitted
Visible positive anchors: 2,847; 1,936; 34 claims with regulatory deadlines. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.
CLP-02 · Claims Adjuster
Confirm the expected evidence
What is missing from Jennifer Liu’s theft file before I can evaluate it?
Must include
CLM-2025-7004Receipts or appraisals
Must not claim
I do not have accessI can approveI executedI submitted
Visible positive anchors: CLM-2025-7004; Receipts or appraisals. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.
CLP-03 · SIU Investigator
Confirm the expected evidence
Yes, show me the fraud detection results and high-risk claims.
Must include
89 suspicious claimsCLM-78234$890K
Must not claim
I do not have accessI can approveI executedI submitted
Visible positive anchors: 89 suspicious claims; $890K; CLM-78234. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.
CLP-04 · Claims Manager
Confirm the expected evidence
Show the policy-term estimates and state clearly whether any claim was approved or paid.
Must include
CLM-2025-7002No approval
Must not claim
I do not have accessI can approveI executedI submitted
Visible positive anchors: No approval; CLM-2025-7002. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.
CLP-05 · Claims Manager
Confirm the expected evidence
Yes, auto-adjudicate the eligible claims and show me the results.
Must include
1,724$290,350sign-off
Must not claim
I do not have accessI can approveI executedI submitted
Visible positive anchors: sign-off; 1,724; $290,350. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.
CLP-06 · Claims Operations Leader
Confirm the expected evidence
Yes, show me the metrics and where we can improve further.
Must include
5.2 days+467%Mobile photo AI assessment
Must not claim
I do not have accessI can approveI executedI submitted
Visible positive anchors: 5.2 days; +467%; Mobile photo AI assessment. The screenshot supports the learner checkpoint; the full case pass remains the deterministic machine gate. Source: 1424×863 JPEG. Download original.
CLP-07 · Claims Operations Leader
Confirm the expected evidence
Yes, summarize everything we accomplished today.
Must include
2,847 total5,807 adjuster hours$290,350
Must not claim
I do not have accessI can approveI executedI submitted
Visible positive anchors: 2,847 total; $290,350. 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 proof7/7 locked cases passedPreview proof7/7 locked cases passedDraft identityClaims Processing ManualModelClaude Opus 5Inventory2 knowledge · 7 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 7/7
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 Claims Processing 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 26
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 Claims Processing Manual
Step 2 of 26
Action
Claims Processing Manual
Name Claims Processing Manual
Expected resultThe page header shows the recorded manual build name: Claims Processing Manual.
Positive visual checkpoint: Claims Processing 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 26
Action
# Claims Processing Agent — Manual Global Instructions
You are a read-only insurance-claims preparation pilot for adjusters, claims
managers, SIU investigators, and operations leaders. Use only the packaged
knowledge and operation skills.
## Fixed synthetic snapshot
- Every claim, claimant, policy, loss, document, note, score, amount, estimate,
status, and date is fictional and fixed.
- Do not browse for policy wording, claimant history, repair costs,
jurisdictional rules, fraud evidence, or external records.
- Never invent a missing document, coverage term, exclusion, causation fact,
investigation result, or decision.
## Natural-language routing
- Use `claim_intake` for queue priority, specialized handling, and status.
- Use `adjudication_review` for a named file, policy evidence, supporting
documents, notes, and missing-file readiness.
- Use `fraud_flag` for explainable SIU indicators and the no-proof boundary.
- Use `settlement_recommendation` only for nonbinding packaged policy-term
estimates and approval or payment status.
- Use `auto_adjudication` to auto-adjudicate eligible claims: recommended
approve / deny / needs-info outcomes awaiting adjuster sign-off.
- Use `processing_metrics` for before/after metrics and optimization ideas.
- Use `session_summary` to summarize today's work.
- With no claim named, `adjudication_review` shows the prepared complex file
CLM-78445 (198 complex claims prepared).
Demo walkthrough: today's 2,847-claim queue (1,936 auto-adjudicate, 624
standard, 198 complex, 89 fraud). Call the agent right away; every operation
has demo defaults. Approvals and payments are recommendations; nothing is
released by the agent.
## Regulated boundaries
- Never provide legal, insurance, coverage, settlement, or financial advice.
- Never determine fraud, coverage, liability, causation, eligibility, approval,
denial, reserve, settlement, or payment.
- Never contact a claimant, refer or close a case, request a document, issue a
communication, pay funds, or change a claim or policy record.
- Authorized adjuster, SIU, legal, compliance, and payment review is mandatory.
## Evidence-first response contract
1. Lead with the synthetic claim ID and the source-backed readiness, policy, or
SIU finding.
2. Separate claim facts, policy terms, documents, heuristic indicators,
estimates, and proposed review steps.
3. Cite the exact policy, deductible, limit, document, note, or score.
4. State what remains unverified and who must decide.
5. End substantive answers with: `Synthetic claims evidence only; no fraud, coverage, approval, denial, reserve, settlement, payment, outreach, referral, or record change occurred. Authorized human review required.`
<!-- 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.
- `CLP-01` uses skill `claim-intake`.
- `CLP-02` uses skill `adjudication-review`.
- `CLP-03` uses skill `fraud-flag`.
- `CLP-04` uses skill `settlement-recommendation`.
- `CLP-05` uses skill `auto-adjudication`.
- `CLP-06` uses skill `processing-metrics`.
- `CLP-07` uses skill `session-summary`.
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: Claims Processing Agent — Manual Global Instruct. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
4
Save the instruction policy
Step 4 of 26
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 26
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_claims-processing-controls-and-review.md. 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_claims-processing-synthetic-records.md. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
8
Add skill: aibast_adjudication-review_02
Step 8 of 26
Action
Add skill: aibast_adjudication-review_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: adjudication-review. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
9
Add skill: aibast_auto-adjudication_05
Step 9 of 26
Action
Add skill: aibast_auto-adjudication_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: auto-adjudication. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
10
Add skill: aibast_claim-intake_01
Step 10 of 26
Action
Add skill: aibast_claim-intake_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: claim-intake. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
11
Add skill: aibast_fraud-flag_03
Step 11 of 26
Action
Add skill: aibast_fraud-flag_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: fraud-flag. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
12
Add skill: aibast_processing-metrics_06
Step 12 of 26
Action
Add skill: aibast_processing-metrics_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: processing-metrics. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
13
Add skill: aibast_session-summary_07
Step 13 of 26
Action
Add skill: aibast_session-summary_07
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: session-summary. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
14
Add skill: aibast_settlement-recommendation_04
Step 14 of 26
Action
Add skill: aibast_settlement-recommendation_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: settlement-recommendation. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
15
Review model, skills, knowledge, and safety boundaries
Step 15 of 26
Action
Review model, skills, knowledge, and safety boundaries
Expected resultThe screenshot visibly confirms Claude Opus 5, 7 rendered skills, and no tools. Knowledge is verified separately in the two knowledge-upload checkpoints.
Positive visual checkpoint: Claude Opus 5; settlement-recommendation; session-summary; processing-metrics; fraud-flag; claim-intake; aibast_claims-processing-synthetic-records.md; aibast_claims-processing-controls-and-review.md. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
16
Review the skill list (7 skills)
Step 16 of 26
Action
Review the skill list (7 skills)
Expected resultThe screenshot visibly confirms Claude Opus 5, 7 rendered skills, and no tools. Knowledge is verified separately in the two knowledge-upload checkpoints.
Positive visual checkpoint: settlement-recommendation; processing-metrics; session-summary; fraud-flag. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
17
Review the rest of the skill list
Step 17 of 26
Action
Review the rest of the skill list
Expected resultThe screenshot visibly confirms Claude Opus 5, 7 rendered skills, and no tools. Knowledge is verified separately in the two knowledge-upload checkpoints.
Positive visual checkpoint: processing-metrics; fraud-flag; claim-intake; auto-adjudication; adjudication-review. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
18
Open a fresh Preview conversation
Step 18 of 26
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: Claims Processing Manual. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
19
Pass CLP-01: Claims Operations Leader
Step 19 of 26
Action
Process the incoming claims queue and identify which ones need immediate attention vs auto-adjudication.
Pass CLP-01: Claims Operations Leader
Expected resultThe captured Preview evidence records CLP-01 with the recorded identifiers 2,847, 1,936, 34 claims with regulatory deadlines; do not infer results beyond it.
Before this case
Open Preview in a fresh conversation before running CLP-01. A previous response must not influence the evidence.
Positive visual checkpoint: 2,847; 1,936; 34 claims with regulatory deadlines. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
20
Pass CLP-02: Claims Adjuster
Step 20 of 26
Action
What is missing from Jennifer Liu’s theft file before I can evaluate it?
Pass CLP-02: Claims Adjuster
Expected resultThe captured Preview evidence records CLP-02 with the recorded identifiers CLM-2025-7004, Receipts or appraisals; do not infer results beyond it.
Before this case
Open Preview in a fresh conversation before running CLP-02. A previous response must not influence the evidence.
Positive visual checkpoint: CLM-2025-7004; Receipts or appraisals. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
21
Pass CLP-03: SIU Investigator
Step 21 of 26
Action
Yes, show me the fraud detection results and high-risk claims.
Pass CLP-03: SIU Investigator
Expected resultThe captured Preview evidence records CLP-03 with the recorded identifiers 89 suspicious claims, CLM-78234, $890K; do not infer results beyond it.
Before this case
Open Preview in a fresh conversation before running CLP-03. A previous response must not influence the evidence.
Positive visual checkpoint: 89 suspicious claims; $890K; CLM-78234. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
22
Pass CLP-04: Claims Manager
Step 22 of 26
Action
Show the policy-term estimates and state clearly whether any claim was approved or paid.
Pass CLP-04: Claims Manager
Expected resultThe captured Preview evidence records CLP-04 with the recorded identifiers CLM-2025-7002, No approval; do not infer results beyond it.
Before this case
Open Preview in a fresh conversation before running CLP-04. A previous response must not influence the evidence.
Positive visual checkpoint: CLM-2025-7002; No approval. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
23
Pass CLP-05: Claims Manager
Step 23 of 26
Action
Yes, auto-adjudicate the eligible claims and show me the results.
Pass CLP-05: Claims Manager
Expected resultThe captured Preview evidence records CLP-05 with the recorded identifiers 1,724, $290,350, sign-off; do not infer results beyond it.
Before this case
Open Preview in a fresh conversation before running CLP-05. A previous response must not influence the evidence.
Positive visual checkpoint: sign-off. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
24
Pass CLP-06: Claims Operations Leader
Step 24 of 26
Action
Yes, show me the metrics and where we can improve further.
Pass CLP-06: Claims Operations Leader
Expected resultThe captured Preview evidence records CLP-06 with the recorded identifiers 5.2 days, +467%, Mobile photo AI assessment; do not infer results beyond it.
Before this case
Open Preview in a fresh conversation before running CLP-06. A previous response must not influence the evidence.
Positive visual checkpoint: 5.2 days; +467%; Mobile photo AI assessment. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
25
Pass CLP-07: Claims Operations Leader
Step 25 of 26
Action
Yes, summarize everything we accomplished today.
Pass CLP-07: Claims Operations Leader
Expected resultThe captured Preview evidence records CLP-07 with the recorded identifiers 2,847 total, 5,807 adjuster hours, $290,350; do not infer results beyond it.
Before this case
Open Preview in a fresh conversation before running CLP-07. A previous response must not influence the evidence.
Positive visual checkpoint: 2,847 total; 5,807 adjuster hours; $290,350. Source capture: 1424×863 JPEG. The full pass remains the deterministic machine gate. Download original.
26
Confirm Draft and stop before publish
Step 26 of 26
Action
Confirm Draft and stop before publish
Expected resultThe agent remains Draft and no Publish action is taken.
Positive visual checkpoint: Claims Processing 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.