HireBuddha AI Employees are structured into a five-tier hierarchy — each tier tuned for a different level of reasoning, autonomy, and tool access. They don’t follow scripts. They think, reason, and self-correct. And when you need a capability that doesn’t exist, the Meta Agent builds it.
The hierarchy prevents monolithic prompt sprawl. Strategy stays at the top, tool execution at the bottom — and the composition rule is simple: build up.
An Action wraps a Tool · Actions combine into a Skill · Skills compose into an Agent · Agents orchestrate into a Process · Processes sustain a Loop. → That’s your company.
Tell Pragya what you need — “someone to chase overdue invoices in INR and escalate after 14 days” — and the Meta Agent runs its own build-loop. It iterates: drafting, testing, critiquing, and refining until the result actually works.
Understand
Decomposes your goal into required capabilities, data, channels, and constraints.
Structure
Decides the right tier — a single Skill, a full Agent, a multi-agent Process, or a whole Loop.
Assemble
Writes the system-prompt charter, sets the Personality Matrix, binds existing tools.
Generate
Creates new tools where none exist — self-evolving code, sandboxed and test-gated.
Simulate
Runs the candidate against representative inputs and self-generated test cases.
Critique
Identifies gaps and loops back until the acceptance criteria are met.
Publish
Registers the finished, versioned AI Employee into your workspace. Ready to employ.
An AI Employee is not a black box. It is eight configurable layers — each visible, tunable, and governed, by you or by Pragya.
Name, title, role, and the system-prompt charter that defines boundaries, guidelines, and behavior. The job description.
Precision sliders for tone, verbosity, empathy, humor, and formality — plus custom rules the employee must always follow.
Reasoning mode: ReAct for linear tasks, Chain-of-Thought for analysis, Debate for high-stakes decisions.
Which of the 20+ built-in tools this employee can reach — web, email, voice, documents, banking, e-signature, and more.
Your documents and connected sources, chunked and vectorized into 768-dimension embeddings, searchable by meaning.
The 4-tier system — working, episodic, semantic, and CORTEX tree memory — that makes the employee smarter over time.
Max cost, timeouts, and Human-in-the-Loop checkpoints that pause before high-stakes actions and require your approval.
Typed input and output schemas. What goes in, what comes out — structured, validated, predictable.
Decide a tool, run it, observe, loop until complete. Best for linear tasks — database ops, API calls, retrieval. Four tools, four observations, one resolution.
Write the step-by-step logic explicitly before generating outputs. Best for document drafting, financial analysis, and legal review — the reasoning trail is visible at every step.
Generate several candidate paths simultaneously; a critic evaluates, selects, or synthesizes the best. Reserved for high-stakes Process- and Loop-tier decisions.
Whatever the reasoning mode, every step is model-routed. The Intelligent Router binds each step to the right brain at runtime — BabyBuddha for most work, a frontier model when the task demands it. You never overpay for intelligence you don’t need.
Build it without code. Control it like code.
The No-Code AI Architect is a visual canvas for designing your workforce: drag-and-drop steps, ReactFlow process DAGs, personality sliders, tool binding, knowledge-base upload. If you can draw a flowchart, you can build an AI Employee. And if you’d rather not — Pragya and the Meta Agent build it for you, then hand you the controls.
Deployed multilingual voice agents for their B2B corporate-gifting platform — automating marketing, sales, and customer success in a single afternoon.
Automated every business function except game development. Marketing, sales, support, HR, finance, legal, and operations all run on AI Employees.
AI Employees evaluate RFPs, develop proposals, negotiate terms, and process tenders — work that took a team of analysts and weeks of turnaround.
Design one in the No-Code Architect, or describe what you need to Pragya and let the Meta Agent build it. Either way, it’s working and learning before your coffee gets cold.