Alireza Rezvani

Manage parallel feature development with Git worktrees, separate working folders for different branches. Assign distinct ports, copy environment files, optionally install dependencies, and check for uncommitted changes and merged branches before removing outdated worktrees.

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• Develop several feature branches at the same time
• Prepare a separate workspace for an urgent hotfix
• Give each AI agent its own branch and working folder

Design systems where multiple AI agents share work, generate tool schemas that define tool inputs for Anthropic and OpenAI, and analyze execution logs. Outputs include role assignments, communication diagrams, and recommendations for addressing cost, latency, and failures.

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• Designing agent roles for research automation
• Choosing how multiple agents coordinate work
• Generating and validating tool schemas

Design AWS infrastructure around application needs, traffic, budget, and team experience. Generate templates that define infrastructure as code, compare service choices and estimated costs, and guide deployment, monitoring, and cost reduction.

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• Designing a serverless backend for an MVP
• Planning AWS infrastructure for a growing SaaS
• Generating CloudFormation infrastructure templates

Design systems that collect, transform, and store data. Choose between scheduled and continuous processing, generate workflow configurations, validate data quality, and analyze performance using guidance for tools including Python, SQL, Spark, Airflow, dbt, and Kafka.

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• Designing data ingestion and transformation pipelines
• Choosing scheduled or real-time data processing
• Checking data freshness, completeness, and uniqueness

Plan authorized security exercises that simulate attackers reaching important assets. Organize techniques into attack stages, rank effort and detection risk, identify shared points across attack paths, and use findings to assess detection and response coverage.

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• Plan a security exercise with written authorization
• Compare attack paths to critical assets
• Find shared attack steps to prioritize monitoring

Create unit test scaffolds, sample data, and mocks from code or specifications. Analyze coverage reports to prioritize missing tests, and guide test-driven development through failing tests, minimal implementation, and refactoring.

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• Create unit tests from existing code
• Prioritize gaps in test coverage
• Turn acceptance criteria into tests

Checks application code, dependencies, and security controls to identify vulnerabilities and plan fixes. Includes Python scanners, reports, incident response workflows, and guidance for adding security checks to CI/CD, the automated build and deployment process.

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• Checking code for exposed secrets and injection risks
• Prioritizing fixes for known dependency vulnerabilities
• Adding security checks to CI/CD pipelines

Identify security threats across system components and data flows, score their risks, and prioritize mitigations. Run a quick scan for exposed credentials and route requests beyond threat modeling to the appropriate specialist skills.

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• Reviewing threats in a new system design
• Prioritizing risks and assigning mitigation owners
• Scanning code for exposed credentials

Inspect project files to identify languages and build tools, then generate starter GitHub Actions or GitLab CI workflows. Set up automated checks, caching, and deployment stages that reflect the project’s commands and target environments.

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• Setting up automated checks for a new project
• Reworking fragile pipeline configuration
• Moving between GitHub Actions and GitLab CI

Review data strategy plans through six focused questions covering training data permissions, infrastructure choices, data asset value, and hiring. Produce a structured verdict with unresolved issues and three concrete next steps.

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• Review customer data permissions before AI training
• Compare data architecture options
• Assess data assets before productization or M&A

Prepares medical device quality systems for ISO 13485 audits using six focused questions. Reviews design records, corrective actions, process validation, risk files, post-market monitoring, and management reviews, then summarizes readiness gaps and three priority actions.

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• Check readiness before an ISO 13485 internal audit
• Review design history files before a product launch
• Check evidence that corrective actions were effective

Prepare for a GDPR audit with six structured questions covering processing records, lawful grounds, privacy risks, individual rights requests, international transfers, and breaches. Organize findings with article references and identify the next three actions.

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• Preparing for an annual internal GDPR audit
• Reviewing privacy controls after a data breach
• Preparing for a data protection authority investigation

Review revenue plans through six questions covering pipeline coverage, win rates, customer revenue retention, sales rep ramp time, discounts, and lead sources. Produce a structured assessment of gaps and three concrete actions before committing targets or expanding sales.

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• Review assumptions before committing a quarterly revenue target
• Find pipeline stages where win rates are weakening
• Separate retention, contraction, and expansion in customer revenue

Review board memos and strategy briefs with available Claude, Codex, and Gemini models. Compare concerns, supporting arguments, and votes, then turn disagreements into questions to resolve before committing to a major business decision.

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• Reviewing fundraising terms before signing
• Checking the reasoning behind a major strategic pivot
• Examining an acquisition memo before a decision

Record founder-approved decisions with chosen options, success measures, stop conditions, and dissent. Keep approved decisions separate from discussion transcripts so future advisory sessions use confirmed choices, with a review scheduled after 90 days.

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• Recording an approved management decision
• Preserving dissent and stop conditions
• Scheduling a decision review after 90 days

Send a founder’s strategic question to the appropriate executive advisor by matching its wording and intent. Questions spanning several roles go to a boardroom discussion, while unclear questions receive an intake to clarify the issue.

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• Finding the right advisor for a business question
• Framing fundraising decisions across multiple roles
• Routing sales or customer retention concerns

Clarify a founder's business question through six written answers covering the problem, customer, distribution, competitive protection, capital, and founder fit. Turn the answers into a one-page brief with an assessment of readiness for further strategy discussion.

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• Clarify assumptions before starting a major initiative
• Organize business questions before fundraising
• Examine the rationale for a strategic pivot

Collect company facts through a structured 12-question founder interview and save them in a shared context file for AI executive advisors. Capture business, financial, team, and strategic information when setting up advisors or updating company circumstances.

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• Set up company context for AI executive advisors
• Prepare company facts before a boardroom discussion
• Update financial context after fundraising

Review an executed business decision against its original success and stopping criteria. Compare actual results, revisit assumptions and dissenting views, and create a retrospective record with lessons and follow-up actions.

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• Reviewing a decision at its 90-day checkpoint
• Assessing a decision when stopping criteria are triggered
• Examining why a major decision was reversed

Build three-tier bookings forecasts from sales opportunities and historical conversion data. Project recurring revenue by customer cohort, assess the reliability of each sales stage, and present forecast numbers alongside their assumptions.

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• Preparing a quarterly bookings forecast for the board
• Projecting annual recurring revenue for the next 4–8 quarters
• Finding customer cohorts with declining revenue retention

Route pricing, discount, partnership, sales channel, proposal response, and bookings forecast questions to one of seven specialist skills. Receive a concise digest of findings, recommended actions, and output files to support commercial decisions and human approval.

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• Review pricing models and product packages
• Assess deal discounts and approval requirements
• Compare partnership terms and channel profitability

Evaluate prospective business partners using evidence of their customer relationships and sales contributions. Recommend a partnership tier, build a 90-day joint sales plan, and compare revenue sharing with direct-sale margins, including conditions for ending the partnership.

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• Evaluating a prospective reseller or OEM partner
• Designing partnership tiers and qualification criteria
• Planning the first 90 days of joint sales

Review startup contracts and investment terms to identify risky clauses, prepare negotiation proposals, and organize questions for qualified attorneys. It also covers intellectual property ownership and regulatory exposure, helping founders prepare for legal review.

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• Checking contract risks before signing
• Reviewing investment terms and founder dilution
• Auditing intellectual property ownership and open source licenses

Review an AI plan through six questions covering evaluation examples, error targets, fallback behavior, regulatory risk, model choices, costs, and hiring. Produce a structured verdict with gaps to address and three concrete next steps.

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• Reviewing an AI feature before release
• Comparing APIs, fine-tuning, and self-hosting
• Checking AI regulatory risk before an EU launch