Choose a practical walkthrough
Each article has a specific task, source code, a dated result and a command or checklist you can adapt. Start with the exercise closest to your team’s next decision.
MCP integration
Inspect MCP tools before connecting a workflow
Run a pinned MCP client, inspect tool discovery and retrieve a named workflow with a dated result you can reproduce.
MCP integration
Test the failed lookup in an MCP workflow
Use an unknown skill lookup to check a real MCP error response, then separate application errors from transport failures.
Technical SEO
Catch canonical and noindex source defects
Check a page’s declared canonical and robots metadata, then use a controlled broken copy to verify the checker detects changes.
Technical SEO
Keep source and live evidence together
Retain a page URL, capture method, date and hash so a technical SEO finding can be checked against the deployed response.
Answer evaluation
Build answer fixtures before testing a model
Use a source-aligned answer and deliberately altered fixtures to check an evaluator’s decisions before measuring model outputs.
Answer evaluation
Check credential counts and relationships
Keep course awards, training modules and memberships separate in a structured answer, with assertions that expose unsupported relationships.
Turn the exercise into an engagement
Download a complete editable proposal for the scope you want to discuss. Each includes discovery inputs, deliverables, acceptance criteria, delivery phases, access controls and relevant proof. Fill the buyer and problem fields, then agree the client-specific scope, dates and investment.
AI workflow assessment and MCP pilot plan
Map a recurring task, review data and tool permissions, and define an MCP pilot with a named owner and acceptance checks.
- Current-state workflow map
- Suitability and dependency register
- MCP and tool contract plan
- Pilot specification and handover
SEO and AI search visibility audit
Agree the buyer questions, inspect dated answers and source pages, and assign repairs with a clear recheck.
- Sampling and source register
- Dated answer and source evidence
- Prioritized repair backlog
- Readout and repeatable follow-up plan
AI answer evaluation and acceptance checks
Turn approved facts into a rubric, versioned test cases and repeatable checks for an answer your team needs to trust.
- Source-backed rubric
- Versioned test cases and fixtures
- Repeatable evaluation command
- Findings and operating handover
Inspect the work behind the scope
The qualifications sheet connects issued personal training to reproducible MCP, source SEO and answer-evaluation examples. Inspect the source and dated report, then use the relevant acceptance checks in your own brief.
Qualifications and working proof · Run the demonstrations · Inspect the issued records
Download the qualifications sheet (PDF)
Read the measured owned-estate case study. Follow the defined resource set, source audit and measurement method used to connect this library to the existing evidence.
Bring the method to your team or audience
Jason Colapietro’s expert kit includes ready-to-use bios, practical session pitches and demonstration plans for MCP integration, source SEO and factual answer evaluation.
Explore sessions and expert resources · Download the expert and speaker kit (Markdown) · Read the expert kit PDF