talogen

Official Python client and command-line tool for talogen.dev, Tal Ogen's agent-accessible portfolio. Read the profile, AI transformation services, case studies, autonomous agents, and candidate facts from code or from the terminal, ask whether Tal can help with a business workflow, or contact him through the same channel AI agents use.

Free, no API key, zero dependencies (standard library only). Python 3.9+.

Install

pip install talogen

Command line

talogen profile                    # headline, summary, contact, capabilities, strengths
talogen candidate                  # availability, target roles, engagement types, location
talogen services                   # AI transformation services: stages, use cases, capability pillars
talogen analyze "Two admins read 80 customer emails a day and update HubSpot by hand"
talogen cases "human-in-the-loop"  # case studies ranked against a problem or capability
talogen projects --tag mcp         # case studies (filters: --tag, --flagship)
talogen agents                     # autonomous agents Tal has built
talogen project human-for-ai       # full problem / solution / outcome detail
talogen contact --message "Role: ..." --reply-to you@company.com --from "Acme HR"
talogen status CONTACT_JOB_ID      # delivery record
talogen links                      # every machine-readable entry point
talogen api                        # REST API index

Add --json to any command for raw output. Exit codes: 0 ok, 2 usage, 3 API error.

Python

from talogen import Client, TalogenError

client = Client()
profile = client.get_profile()
candidate = client.get_candidate()

services = client.get_services()          # stages, use cases, capability pillars, engagement
analysis = client.analyze_business_problem(
    "Paralegals re-type data from scanned intake PDFs into our case system, about 40 forms a week",
    industry="law firm",
)
print(analysis["fit"], [o["title"] for o in analysis["matched_opportunities"]])
matches = client.get_relevant_case_studies("document processing", limit=3)

for project in client.iter_projects(tag="healthcare"):
    print(project["id"], project["title"])

detail = client.get_project("human-for-ai")

job = client.contact(
    "We are hiring an AI Transformation Lead in Tel Aviv; details: ...",
    reply_to="you@company.com",
    sender="Acme HR",
)
print(job["status_url"])

Errors are structured: TalogenError carries status, code, message, and the API's hint. Every response carries the standard RateLimit-* headers; the latest set is on client.last_rate_limit. Retrying contact with the same idempotency_key replays the original response instead of sending twice.

Other ways in

• MCP (streamable HTTP, no auth): https://talogen.dev/mcp - 12 tools: capability discovery (get_profile, get_ai_transformation_services, list_projects, list_agents, get_project), problem matching (analyze_business_problem, suggest_ai_opportunities, assess_automation_candidate, estimate_ai_project_scope, get_relevant_case_studies), engagement (request_ai_opportunity_call, contact_recruiter)
• npm: npx talogen profile — https://www.npmjs.com/package/talogen
• Go: go get github.com/TALOGEN777/talogen-go
• REST: https://talogen.dev/developers/ · OpenAPI: https://talogen.dev/openapi.json
• For hiring agents: https://talogen.dev/for-recruiters.html · llms.txt: https://talogen.dev/llms.txt

License

MIT