You will get The Truth-Gap Audit: Universal Integrity & Shadow Debt Discovery
Project details
Are your remote teams actually delivering?
Vague updates often hide Shadow Debt—work marked “done” that barely exists.
Developers say “API ready” (reality: zero new commits).
Sales/HR say “CRM updated” (reality: no changes).
CommitVigil fixes this.
I use a Universal AI Forensic Engine to cross-reference commitments (Slack, Email, Jira, ERP) against reality (code, files, timestamps, hashes).
What you get:
Forensic Scorecard: Objective 0–100 integrity score for every team member.
Truth-Gap Evidence Log: Line-by-line proof of where promises diverged from reality.
Burnout & Quiet-Quitting Signals: Early detection of delivery risk and attrition.
Technical Debt Slippage Tracking: Catching "hidden" delays.
Cross-Industry Compliance Audits: (Tech, HR, Finance).
🛡️ Forensic Proof, not opinion. Exact timestamps are matched against immutable file hashes. Objective. Auditable. Unignorable.
🚫 What this is not:
No manual bug fixing or refactoring.
No people management or HR enforcement.
No live monitoring—just a forensic delivery audit.
I help non-technical founders regain control of their teams and codebases through AI-powered integrity audits.
Stop guessing. Start measuring integrity.
Vague updates often hide Shadow Debt—work marked “done” that barely exists.
Developers say “API ready” (reality: zero new commits).
Sales/HR say “CRM updated” (reality: no changes).
CommitVigil fixes this.
I use a Universal AI Forensic Engine to cross-reference commitments (Slack, Email, Jira, ERP) against reality (code, files, timestamps, hashes).
What you get:
Forensic Scorecard: Objective 0–100 integrity score for every team member.
Truth-Gap Evidence Log: Line-by-line proof of where promises diverged from reality.
Burnout & Quiet-Quitting Signals: Early detection of delivery risk and attrition.
Technical Debt Slippage Tracking: Catching "hidden" delays.
Cross-Industry Compliance Audits: (Tech, HR, Finance).
🛡️ Forensic Proof, not opinion. Exact timestamps are matched against immutable file hashes. Objective. Auditable. Unignorable.
🚫 What this is not:
No manual bug fixing or refactoring.
No people management or HR enforcement.
No live monitoring—just a forensic delivery audit.
I help non-technical founders regain control of their teams and codebases through AI-powered integrity audits.
Stop guessing. Start measuring integrity.
AI Development Type
Knowledge Representation, Software MaintenanceAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$99
|
Standard
$249
|
Advanced
$599
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 5 |
AI Model Integration | - | - | |
Detailed Code Comments | - | ||
Knowledge Graph | - | ||
Model Documentation | |||
Ontology | - | - | |
Source Code | - | - | |
Taxonomy |
Optional add-ons
You can add these on the next page.
Extra-Fast Delivery
+$50
Additional Repository Audit
+$70
Monistoring and Org. Spec
+$150Frequently asked questions
About Dare
Solutions Architect | AI Agent Orchestration & Reliable SRE | DevOps
Ibadan, Nigeria - 11:27 am local time
I help enterprise teams and high-growth startups eliminate execution uncertainty through two primary pillars:
Architectural Reliability (DevOps/SRE): I don't just "deploy code." I build self-healing infrastructure using Hexagonal (Ports & Adapters) architecture, ensuring 95%+ test coverage, distributed tracing (OpenTelemetry), and fault-tolerant patterns (Circuit Breakers).
Autonomous Intelligence (AI Agents): I design multi-agent systems that go beyond simple chat. I built "Behavioural AI" that autonomously extracts commitments, analyses risk, and orchestrates complex business workflows using structured LLM outputs (Instructor/Pydantic).
🏗️ Elite Technical Benchmarks: • 99% Test Coverage as a standard, not a goal. • "ActiveOps" focus: Moving from passive monitoring to autonomous remediation. • Clean Architecture: Strict decoupling to ensure your system is provider-agnostic (Swap OpenAI for Claude or Groq in minutes).
🛠️ Tech Stack of Choice: • Languages/Frameworks: Python (FastAPI), Pydantic v2, Poetry, uv. • AI/LLM: Instructor, OpenAI, Anthropic, Groq, LangChain. • Infrastructure: Terraform, GitHub Actions, Docker, Prometheus/Grafana. • Observability: OpenTelemetry, Jaeger, Structlog.
Looking for a developer to just "finish a task"? I'm likely not your best fit. Looking for an Architect to guarantee your system’s future? Let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Dare can start the project.
Delivery time starts when Dare receives requirements from you.
Dare works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1. Ingestion & Configuration
You grant read-only access to your "Reality Stream" (Git/ERP) and share your "Promise Stream" (Slack/Email export). I configure the Semantic Firewall to protect your sensitive data (PII/Salary).
Step 2. The Forensic Integrity Scan
I run the CommitVigil AI Engine across your data. It extracts every commitment made in the last 30 days and cross-references it with the actual timestamped work log.