Suede AI · working proof

Qualifications and working proof

A one-page Suede AI qualifications sheet: founder training, working MCP and SEO examples, evaluation methods, deliverables and a clear next step.

By Jason Colapietro ·

Choose the first useful scope

Turn a recurring business task into a defined AI workflow, or turn unclear search visibility into a prioritized repair plan. Work with the founder who builds and operates Suede AI's agent platforms and publishes the implementation evidence.

Download the one-page PDF Copy the text version

AI workflows and MCP integrations

Deliverable. A workflow map, bounded pilot scope, tool and permission requirements, and acceptance checks.

Working proof. A real MCP client discovers the Suede Creator Skills server, searches for a workflow, retrieves its instructions and checks an unknown-skill response. Inspect the example.

Relevant training. Claude Academy / Anthropic: Claude API, Claude Code, MCP, Amazon Bedrock and Google Cloud. Microsoft Learn: Azure AI Agents, Foundry IQ, Visual Studio Code, Microsoft 365 and Agent Framework. Hugging Face: Fundamentals of Agents. AWS Skill Builder: Amazon Bedrock Getting Started.

Discuss this scope

SEO, AEO and source repair

Deliverable. A dated source review, technical checks, prioritized fixes and a repeatable follow-up plan.

Working proof. Eight checks inspect the published evidence page and detect three defects introduced into a controlled copy. Inspect the example.

Relevant training. Semrush Academy: AI search, keyword research, on-page SEO, local SEO and digital PR. HubSpot Academy: AEO Fundamentals certification.

Discuss this scope

AI answer evaluation

Deliverable. A source-backed rubric, saved test cases, failure categories and a repeatable evaluation command.

Working proof. Eight checks evaluate four authored answer fixtures, detecting changed totals, missing sources and an unsupported relationship. Inspect the example.

Relevant training. IBM SkillsBuild: Craft Precise Prompts for AI Models. Google Skills: introductory generative AI and large language models. Databricks Academy: Generative AI Fundamentals accreditation.

Discuss this scope

Put the qualifications to work

Read six practical guides and copy an editable proposal for your team. For an event or editorial project, open the expert and speaker kit.

See how these resources were implemented and measured.

Named records you can inspect

21 course credentials across eight providers, 17 separate Microsoft Learn training achievements (15 module badges and two learning-path trophies), and a separately recorded GEAR program membership.

Inspect the issued training records · AWS public Skills Profile · Public source code · Founder and shipped work

Start with a defined assessment

Bring one recurring workflow or one priority website. Start with a scoped assessment and a concrete acceptance checklist.

Book a 30-minute conversation Request a search assessment