INSELF transforms business objectives into __autonomous agents__ that work continuously without supervision. You describe a goal like launching a newsletter, automating prospecting or targeting a million in revenue, and the platform deploys a team of AI agents, its __INployees__, equipped with skills, tools and shared memory. The agents define the __KPIs__, set milestones, segment tasks and execute in parallel. The promise: advance each night on your strategic projects without human intervention, with a dashboard that shows progress, blockers and trade-offs.
What is INSELF?
INSELF is a cloud platform that orchestrates specialized AI agents around a business objective. You describe your goal in natural language, the system breaks it down into measurable steps, then assigns tasks to AI agents called INployees. Each INployee has a set of skills, access to third-party tools and shared memory with peers. The agents collaborate to advance in parallel on multiple projects, regularly reporting progress to the user. INSELF bets on long-term autonomy and managing complex objectives, rather than short chatbot-style interactions.
Main Features
The core of INSELF is its objective decomposition engine. You enter a phrase like automate prospecting or launch a targeted newsletter, and the platform generates a structured plan with phases, milestones and KPIs. INployees are then deployed based on needed skills: research, writing, simple programming, integration with third-party tools, tracking recurring tasks. Cross-team memory allows agents to capitalize on shared learnings, which avoids repetitive errors. A real-time dashboard shows the status of each project, identified blockers and arbitrage options proposed to humans. The platform also manages common integrations like email generation, webhook orchestration, CRM synchronization or knowledge base sync. Finally, a privacy by design layer ensures your data is not exploited to train third-party models.
Use Cases
INSELF shines in several concrete cases. For business prospecting, agents identify target profiles, write personalized messages, track opens and adapt follow-ups. For content creation, the tool plans an editorial calendar, writes drafts, suggests angles and schedules publication. For competitive intelligence, agents collect news, structure a weekly report and alert on strong signals. For support, INSELF can orchestrate a loop between incoming tickets, knowledge base and human escalation. For solo founders, the tool acts as a virtual team that executes while they sleep, which radically changes a project’s progression pace in the bootstrap phase. Agencies can use it to deliver faster on repetitive missions.
Advantages
The first benefit is execution leverage. Where one person advances linearly, multiple agents can progress in parallel. The second benefit is continuity. Agents run even outside business hours, which maximizes calendar time utilization. The third benefit is traceability. Dashboards, KPIs and histories transform execution into an auditable process, much more structured than manual delegation. The fourth benefit is learning. Agents capitalize on their mistakes and successes, and their performance improves over time. For users new to automation, INSELF significantly lowers the barrier to entry compared to a programmable environment like n8n or LangChain.
Pricing
INSELF offers a free plan that lets you create an account and launch a simple first objective without a credit card. Paid plans unlock a higher number of active INployees, advanced integrations, more memory and increased execution throughput. Pricing tiers adapt to target profiles, from solo founders managing a single project to small teams juggling multiple parallel projects. Enterprise plans unlock SSO options, role management and custom APIs. Value for money depends largely on the orchestration quality you can achieve, which depends on rigorous objective framing upfront.
Conclusion
INSELF is an interesting bet on AI’s ability to execute without constant supervision. The platform doesn’t replace an experienced human on critical subjects, but it offers real multiplication for structured projects where pace trumps exceptions. For those wanting to seriously test the promise of autonomous agents oriented toward business, the tool is an excellent entry point.