Agentic AI - an entire consulting firm
on your laptop.
Specialist agent teams - data architects, engineers, QA, compliance reviewers, risk managers - coordinated by a 4-tier knowledge vault that decides which agent sees which institutional context at runtime. The context-scoping that makes enterprise agentic AI safe to deploy. Human-in-the-loop gates at every step. Days, not quarters.
This site rewrote itself. On April 27 our integrity-auditor advisor flagged 24 issues; by April 29, 12 had shipped to UAT. Read the loop.
The Operating System for AI Agents
A system that captures how your team operates and surfaces it where the work happens. Every agent, skill, and knowledge file participates in a continuous learning loop.
Agent Roster
50+ specialist agents spanning technical engineering and fund-ops domains - data architects, engineers, QA testers, compliance reviewers, risk managers, and more. Each encodes real domain expertise into repeatable workflows.
Layered Knowledge
Four-tier system (L1 Platform, L2 Company, L3 Personal, L4 Project) that captures, versions, and compounds institutional intelligence. Higher tiers override lower - project context wins. Persistent across sessions.
Skill Catalog
30+ composable skills with keyword triggers, state persistence, and cross-agent orchestration. Chain skills into workflows. Every skill is versioned, testable, and observable in production.
Workflow Orchestration
Multi-step workflows with parallel execution, retry logic, and human-in-the-loop gates at every consequential decision point.
The Flexor Constitution
Every agent inherits a behavioral substrate - principles in productive tension. Craft vs. Reversibility. Self-Reflective vs. Try-Before-Declining. Intellectual Honesty always. Do No Harm before destructive action. The tension is the feature.
Signal Monitoring
Real-time event capture across every touchpoint. Slack integration and automated alerts.
Every Agent, One Brain
The central orchestrator routes tasks, shares context, and compounds intelligence across your entire operation - 50+ agents in the catalog, working in concert.
Agents as Code
Every agent is a YAML file - version-controlled, testable, composable. Define personality, domain expertise, skill access, and behavioral guardrails. Deploy in minutes.
- YAML definitions with version control and merge strategies
- Simulation harness before production deployment
- 50+ pre-built templates or define from scratch
name: data-architect
domain: data-engineering
personality:
style: systematic
framework: adr-driven
data_driven: true
skills:
- project-team
- git-ops
- interview
vault_access:
- L1
- L2
guardrails:
- always produce an ADR before schema changes
- flag migrations touching PII for security-auditor review
council: false
learning: enabledFour-Tier Intelligence Stack
Knowledge cascades upward. Project context (L4) overrides personal (L3), which overrides company standards (L2), which override platform defaults (L1). Every agent sees the right knowledge, at the right time.
From portal to production-ready agents.
One download, one YAML file, one command - the orchestrator does the hard work.
From request to shipped, in 4 days. Human-only baseline: 8–10 days. Modeled on PLEXIFACT internal cadence.
Problem: Users cannot export dashboard data; manual extraction takes 30 min per report.
Success: CSV export available from dashboard toolbar; download completes in <3 s for up to 100K rows.
Out of scope: Excel format, scheduled email delivery.
Assigned: web-engineer + python-engineer + qa-tester
What an 8-person consulting team ships in 4–6 months, a director and an agent team ship in 10 weeks.
Real receipts from a 10-week engagement with a venture-stage commodity trading and advisory firm. 8 distinct projects shipped. 40,000+ lines of production Python. Approximately 40 curated regulatory documents across multiple jurisdictions. Nine domain-specialized agents deployed as code, not hired. Plus 33 internal projects captured by automated efficiency tracking.
Engagement
Delivered
Code
Deployed
10-Week Platform Build for a Commodity Trading Firm
A venture-stage commodity trading and advisory firm operating across multiple regulatory jurisdictions with overlapping compliance regimes.
- 8 distinct projects including a Regulatory Intelligence Platform, a Domain Knowledge Base, a Specialist Agent Roster, a Network Intelligence Platform, an Integrated Conversational Platform, and Horizon-1/Horizon-2 platform builds
- 40,000+ lines of production Python code (Regulatory Intelligence Platform alone)
- Approximately 40 curated regulatory documents across 5 market verticals
- 9 domain-specialized agents deployed as code - regulatory expert, portfolio proxy, risk manager, compliance/legal, AI governance, data engineer, technical architect, QA validator, project manager
- 19+ initiative specifications documented across compliance monitoring, AML-KYC automation, edge analysis, capacity estimation, and conversational investment intelligence
- First-month velocity: 100 events / 82 task completions / 9 repos active
Cards 2–4 break out three of the highest-impact subsets of this engagement. Methodology, audit trail, and source code available to qualified evaluators under NDA.
The Regulatory Intelligence Platform
Production-grade regulatory intelligence platform with hybrid RAG architecture and three-tier model orchestration. Compliant audit trails (WORM storage, 7-year retention).
- 40,000+ lines of production Python across approximately 10 microservices
- 6 data source connectors (legislative trackers, regulatory dockets, agency RSS feeds)
- Hybrid RAG: dense embeddings + sparse retrieval + reranking
- State-machine orchestration with explicit error categorization
- Human-in-the-loop gates on material exposure decisions
The Domain Knowledge Base
Curated, version-controlled regulatory intelligence corpus across 5 distinct market verticals. Multiple regulatory jurisdictions covered. Taxonomies and contribution workflows codified for ongoing extension.
- Approximately 40 markdown/HTML documents of structured regulatory intelligence
- 5 market verticals with consistent content-type taxonomy
- Multi-source ingestion from legislative trackers, regulatory dockets, agency filings
- Multi-pass agent validation (regulatory expert curates; QA validator audits accuracy)
- Agent-extensible - adding a new jurisdiction takes hours, not weeks
The Specialist Agent Roster
9 domain-specialized agents with formal personas, knowledge boundaries, tool access scopes, escalation rules, and reasoning patterns. Deployed as code into the client's vault layer.
- Regulatory expert · portfolio strategy proxy · risk manager · compliance & legal · AI governance · data engineer · technical architect · QA validator · project manager
- Each agent has a persona file codifying domain expertise, failure modes, and decision boundaries
- Integrated with the platform's skill-routing and multi-agent dispatch
Internal projects ranging from devops cutovers to workspace migrations to multi-meeting transcript processing. Each records its own human-team baseline at task close. Aggregate from April 6–29, 2026:
Captured
Effort-Hours
Time
Multiplier
The headline engagement is not a one-off. The same operating model that built the platform above runs every internal project, every devops sprint, every workspace migration. Source: 33 captured records; methodology at efficiency-measurement.md.
How this is measured: Every complex project records the human-team baseline at task close - effort hours, calendar days, team size, role mix, and blended hourly rate. The breadcrumb writes to .tmp/efficiency/breadcrumbs/; the daemon aggregates and ships records to the efficiency database. Multiplier = (estimated human-team effort) ÷ (director's actual direction time).
Conservative methodology: estimates assume competent humans, no consulting markup, no team coordination overhead, no ramp-up time. Confidence levels are recorded per project (high / medium / low). The full record schema, raw data, and engagement chronicles are available for audit under NDA.
Multiply your team's throughput.
Bring your specialist agent team into the workflow you already run. Most fund-ops engagements show measurable throughput within the first sprint.
See your numbersBuilt for Enterprise Operations
Encryption in transit. RBAC with MFA. Audit logging. Security review documentation under NDA - SOC 2 readiness on the roadmap.
SOC 2 Type II — In Progress
Type II audit currently in progress with a qualified independent auditor. Audit firm name and current control set available under NDA. Target report H2 2026.
SAML SSO — Roadmap
SAML SSO is on the roadmap, prioritized with founding clients. OIDC and password-policy controls available today via the standard auth surface.
Encryption in Transit
TLS 1.3 for all client traffic. Storage-layer encryption configuration documented per engagement.
Custom SLA
Uptime targets and response windows confirmed per engagement. Best-effort on entry tier, target 99.5–99.9% on dedicated tiers.
Audit Logging
Activity trail for every data access and modification. Retention and export tooling defined per engagement to match your regulatory framework.
RBAC + MFA
Granular role-based access control with org-level and resource-level scopes. MFA enforced for all production users.
A signal enters. Outcomes ship.
A Slack mention, a CRM event, a website visit - any signal becomes the trigger. Flexor's agent network runs the playbook, the council votes, and the work lands where your team already lives.
- Signal caught Website visit · $500M fund
- CRM event New lead · Series C
- Slack mention @deal-advisor · MEDDIC?
- Email thread RFI · security requirements
- Slack alert #deals · Dmitry tagged
- Draft email MEDDIC · 92% confidence
- Deal dashboard Score 78 · Stage review
- Audit log Audit-ready · NDA
- 01 Scout spots a $500M fund visiting
/platform. - 02 Enrichment hydrates contacts · firmographics · news.
- 03 RevOps scores the deal against MEDDIC + ICP rules.
- 04 Council polls 4 models - 92% confidence verdict.
- 05 Writer drafts the outreach in brand voice (L2 vault).
- 06 Handoff - Slack ping, CRM task, audit log, all linked.
What If Your Best Practices
Never Slept?
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