Modeled sample · current Assessment v8 formatBack to the assessment →
OOverflow / Matching profile

Modeled on a real profile. Names, employers, counts, and placements are altered sample data. Nothing here represents a live Overflow cohort result.

Project-fit profile

Riley Okafor

A three-time software founder who uses coding agents to decide what companies should own and gets those systems into use.

Career context comes from LinkedIn. Current depth comes from observed agent work.

LinkedInSessions
01 / Agent footprint

Observed agent activity.

Network placement uses submitted profiles that follow the same rules. Tool mix uses the same dates for both tools.

Anonymous cohort viewCurrent assessment

Your proof, in context.

Compared with the current assessment cohort.

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Captured agent activity82nd percentile · upper third · 64/64 reported580agent sessions 40 lowmiddle 50% · 160–7201,200 high

Captured sessions across the agent-tool windows reported in the sample.

Delegation rate76th percentile · upper third · 64/64 reported48%% of scanned sessions 4 lowmiddle 50% · 18–5170 high

Same-source scanned sessions that used subagents.

Parallel-work rate88th percentile · upper third · 64/64 reported74.2%% of active days 3 lowmiddle 50% · 16–5890 high

Observed active days with more than one interactive session.

Owned into real use95th percentile · upper third · 64/64 reported100%% of work examples 0 lowmiddle 50% · 25–75100 high

Work examples that reached real use under this person's ownership.

Independent verification95th percentile · upper third · 64/64 reported100%% of work examples 0 lowmiddle 50% · 20–70100 high

Work examples with a separate retained review or acceptance check.

GitHub active months91st percentile · upper third · 64/64 reported12active months 1 lowmiddle 50% · 5–1112 high

Months with authenticated authored GitHub activity in the sample year.

Each curve uses only profiles that report a compatible version of that metric and appears at eight reported values. Agent-operating curves retain their source-compatible denominators. Baseline activity metrics span older assessment versions. This compares submitted evidence, not career seniority.

Matched-window comparison

Normalized Claude / Codex mix

44-day shared window
Claude Code196 · 4.5/day
Codex341 · 7.8/day

Both counts use 2026-06-11–2026-07-24. 537 session records are inside the shared window. This is session-record share, not time, preference, quality, or completed work. Counts come from local session records. Fixed checks confirm the totals without reading the raw session text.

Assessment
02 / Agent operating profile

Acts as the director and reviewer of an agent delivery system.

How this person delegates, coordinates, owns, and checks agent work.

SessionsAssessment
9median interactive sessions per active day
24peak concurrent interactive sessions
01 / Delegation48%

Delegation rate

94 of 196 scanned Claude Code sessions used subagents.

Same-source session count
02 / Parallel work74.2%

Multi-session active days

89 of 120 observed active days included more than one interactive session.

Active-day count · scheduled runs excluded
03 / Delivery ownership3/3

Owned into real use

3 of 3 work examples reached real use under this person's ownership; 2 continued into operation.

Work examples with retained evidence
04 / Verification3/3

Independently checked work

3 of 3 work examples show a separate review or acceptance check.

Retained evidence · unknown stays in the count

Primary work surface

3 qualifying arcs
Product Operations1/3Application Software1/3Workflow Integration1/3

Change type

3 qualifying arcs
Operational Automation1/3New Capability1/3Experience Improvement1/3
01

Frame the outcome

Starts with the operating problem, then sets scope and acceptance rules.

02

Split owned work

Assigns bounded workstreams with explicit ownership and completion tests.

03

Check independently

Uses a separate review before accepting material implementation results.

04

Operate and repair

Returns to delivered systems to fix failures and improve behavior.

What is distinctive

Uses coding agents for operating decisions as well as implementation work.

Reusable operating system

Reuses bounded reviewer briefs, source rules, and acceptance checks across projects.

Where the evidence bends

The captured sessions show direction and review, not direct code authorship.

03 / Career & industries

Where their expertise comes from.

Career context establishes duration and responsibility. Observed work shows what is active now.

AI consulting and custom softwareMid-market and private-equity-backed companies

Career contextLed advisory work for mid-market and private-equity-backed companies with responsibility for product and operating decisions.

Observed workThree classified arcs cover delivery systems, commercial workflows, client integrations, and post-launch operation.

LinkedInSessions
Deep · current

Enterprise software and B2B SaaSMobile products and conversation intelligence

Career contextLed enterprise product launches through two acquisitions and sustained commercial ownership.

Observed workCurrent arcs cover CRM, delivery platforms, account reporting, data repair, and a cross-platform subscription product.

LinkedInSessions
Deep · sustained

Commercial fabrication and interiorsOffices, hospitality, and public spaces

Career contextSix years as founder and chairman of a wood-and-metal fabrication company.

Observed workThe retained agent window has no qualifying fabrication work arc, so current digital depth is not inferred.

LinkedInAssessment
Career depth

Consumer softwareSubscriptions and cross-platform release

Career contextProduct-company history establishes commercial ownership and adoption responsibility.

Observed workTwo arcs include payments, desktop notarization, mobile test distribution, and consumer application operations.

LinkedInSessions
Working · current
04 / Subject matter

What they know.

Each area names the work that supports it. Generic tool use does not qualify.

Commercial product formation

Connects product definition, pricing, delivery, and adoption during the first operating stage.

LinkedIn
Reviewed career history

Agent operating models

Defines worker boundaries, reusable briefs, review gates, spend controls, model routing, and recurring jobs.

Sessions
Three observed work arcs

Professional-services operations

Builds staffing views, review preparation, account reporting, delivery vocabulary, and privacy boundaries.

Sessions
Two observed work arcs

Evidence and data integrity

Works on schema compatibility, sync freshness, recovery, privacy limits, and reports that distinguish missing data.

Sessions
Three observed work arcs
05 / Matching decision

How to use the profile.

Make the staffing decision without turning uncertainty into a score.

Strongest fit

Founder or product operator for owned software

Best for ambiguous company workflows that need a business decision, an agent operating model, and a working internal product.

LinkedInSessions
Add a specialist

When engineering risk dominates

Pair with dedicated security, database-scale, testing, continuous-integration, or reliability ownership.

Assessment
Not shown

Direct code authorship

The retained evidence does not establish how much code the person wrote directly.

Assessment
06 / Share

Share the signal.

A fixed LinkedIn card keeps the identity, tool mix, and three hiring signals readable.

LinkedInSessions
07 / Sources & limits

Where the data stops.

Sources retained in this profile: LinkedIn, Sessions, Assessment.

Cross-tool comparison uses only the 44-day shared window because source retention differs.

Assessment

Career context is self-reported. Captured work remains the source for current depth.

LinkedInAssessment

The report does not independently verify business outcomes or sole authorship.

Assessment
Evidence index
ev-004LinkedIn

Reviewed career history supports founder, industry, operating, and product-formation context.

ev-003Sessions

Three classified arcs support current delivery, operations, product, workflow, and data-integrity claims.

ev-002Sessions

Observed sessions and tool metadata support the agent workflow, concurrency, subagent, and reusable-review claims.

ev-001Assessment

Deterministic aggregation found 196 Claude and 341 Codex sessions in the exact shared 44-day window.

ev-005Assessment

The retained evidence does not independently prove outcomes, sole authorship, or unobserved current industry work.

Generated 2026-08-02T12:00:00Z

Fewer labels. Better decisions.