Use Cases

What teams are building with Cohort today.

[W]

Website Generation

Cohort's Website Creator pipeline takes a site brief -- your brand, competitors, audience, and goals -- and orchestrates a team of agents to produce a complete, responsive, SEO-optimized website. This site is proof -- built by Cohort in 7 minutes and 39 seconds with zero human code.

The pipeline uses Cohort's meeting system to coordinate agents: a strategist analyzes positioning, a copywriter drafts page content, a designer selects layout and color systems, a developer renders production HTML/CSS via Jinja2 templates, and a QA agent validates accessibility. Contribution scoring keeps each agent focused on their expertise.

7:39

total build time

9

pages generated

5

agents involved

0

lines hand-written

Website build pipeline -- cohort.dev

Strategist Agent

Competitor analysis complete. 3 positioning gaps identified: none mention local inference costs, none show real agent conversations, none publish benchmarks. Recommend leading with "zero API cost" differentiator.

Copywriter Agent

Draft complete for 9 pages. Hero headline: "Your AI Team. Built to Ship." -- emphasizes outcomes over features. Each page opens with a concrete proof point before explaining the concept.

Developer Agent

All 9 pages rendered. CSS custom properties for theming, responsive breakpoints at 768/1024/1280px, semantic HTML with ARIA labels. Total output: 4,200 lines of production HTML/CSS.

From the actual build log of this website. The strategist found the positioning gaps, the copywriter drafted around them, the developer shipped production code.

[CR]

Code Review & Security Audit

Point Cohort at a codebase and get multi-perspective analysis in parallel: a security agent hunts for OWASP vulnerabilities, a code quality agent flags maintainability issues, a performance agent profiles bottlenecks, and a documentation agent maps coverage gaps. Each agent scores independently -- no groupthink.

Cohort's contribution scoring ensures the right expert speaks at the right time. The security agent's findings don't get buried by style nits, and the performance agent yields the floor when the topic shifts to auth. Agents progress through stakeholder statuses -- active, approved_silent, observer -- so the conversation self-organizes toward the findings that matter most.

Multi-agent code review -- parallel findings

[Security Agent]
  CRITICAL api/routes.py:312 -- unsanitized user input in
  resource name passed to file path construction. CWE-22 path
  traversal. Fix: validate against ^[a-z0-9-]+$ pattern.

[Code Quality Agent]
  WARNING worker/executor.py -- run_task() is 347 lines
  with 8 levels of nesting. Extract: build_prompt(),
  commit_checkpoint(), review_output() as separate methods.

[Performance Agent]
  WARNING inference/router.py:load_model() -- synchronous
  model loading blocks the event loop for 12-18 seconds.
  Move to background thread with asyncio.to_thread().

[Documentation Agent]
  INFO 23 public functions missing docstrings in tools/.
  4 config keys undocumented in config.yaml. README references
  deprecated CLI flags (--force-gpu, --no-cache).

Four agents, four perspectives, one pass. The security agent catches what the code quality agent ignores, and vice versa. Each finding is independently scored and prioritized.

[CP]

Content Pipeline

Cohort's intel fetcher and content analyzer work together to monitor RSS feeds, score articles by relevance, and surface the ones worth acting on. Wire up content agents to turn raw intelligence into publish-ready bundles -- blog posts, social threads, newsletters -- on a schedule you define with Cohort's built-in cron scheduler.

Each stage runs through Cohort's meeting system: a strategy agent picks topics, a writer drafts, an editor refines, and a social media agent adapts for each platform. Contribution scoring prevents any one agent from dominating -- the writer yields when the strategist has a better angle.

Content pipeline -- Cohort scheduler + meeting orchestration

Step 1 Intel Fetch

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Step 2 Analysis & Scoring

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Step 3 Agent Roundtable

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Step 4 Multi-Format Output

RSS + Web Sources

Configurable

Relevance Scoring

LLM-Powered

Output Formats

Blog + Social + Mail

Built on Cohort's intel_fetcher, content_analyzer, and TaskScheduler modules. Define your feeds, register your agents, set a cron schedule -- the orchestrator handles the rest.

[EB]

Executive Briefings

Cohort's executive briefing module generates polished HTML reports from your agent activity, work queue history, and intel feeds. Schedule them daily with Cohort's cron system, or generate on demand via the HTTP API. Each briefing includes agent narratives, task summaries, and intel digests -- all rendered from real data, not templates.

The briefing engine uses LLM-enhanced narratives when a local model is available, with deterministic fallback when it's not. Agent activity cards are written in first-person voice. Intel articles get "why it matters" analysis. Everything is served from Cohort's built-in dashboard or emailed as standalone HTML.

Executive Briefing

Mon Mar 10, 2026

Agents Active

14

Tasks Completed

8

Intel Articles

23

Overnight Summary

Work queue completed 5 tasks across 3 agents. Content pipeline surfaced 4 high-relevance articles on local LLM deployment trends. System health: all services nominal, inference latency within SLA.

Generated by Cohort's executive_briefing module. Runs on schedule or on demand via the /api/briefing endpoint.

Real briefing format from Cohort's built-in executive_briefing module. Plug in your data sources and agent registry -- the engine handles rendering, LLM narratives, and delivery.

Ready to Build?

Every use case above runs on a single consumer GPU. No API keys. No cloud dependency. Your data stays on your machine.

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