Most AI tools generate content when you ask. Brandstaq's agents show up every day with a work plan, execute it across your platforms, learn from results, and improve. You brief them once; they run forever.
Every Brandstaq agent runs a structured daily work manifest — a six-block workflow that mirrors how a competent human employee would structure their day:
1. Platform check: The agent verifies that connected platform credentials are valid, checks for any alerts or notifications that need attention, and confirms it has what it needs to work.
2. Analytics review: It pulls performance data from the previous period — engagement rates, follower changes, content performance — and notes what's working and what isn't.
3. Research: The agent researches relevant topics for the day — trending topics in your industry, competitor activity, news events relevant to your brand.
4. Planning: Based on analytics and research, it builds a content and action plan for the session — what to post, when, on which platforms, and what tone to use.
5. Execution: The plan runs. Posts go out (or into your approval queue). Outreach messages are drafted. Content is written. Jobs are completed.
6. Learning: The agent updates its internal notes based on what it did and observed, improving its planning for the next session.
This manifest runs on your configured schedule — daily, weekdays, or custom — via Brandstaq's Celery task system. You don't initiate it. It just happens.
Every brand on Brandstaq gets a General Agent on deployment — a Brand Operations Manager that handles all four domains (social, content, community, sales) until specialist agents are deployed. This means you get immediate coverage across all brand operations from day one, even on the free tier.
As your brand grows, you deploy specialist agents: Social Manager for platform-optimized social content, Content Writer for long-form and structured content, Community Manager for Discord and Telegram moderation, and Sales Agent for LinkedIn prospecting and outreach.
When a specialist deploys, the General Agent detects that a domain is now 'handed off' and stops competing with the specialist. The General Agent transfers domain context — the history, learnings, and platform data — to the specialist via a structured handoff. When all four domains have specialists, the General Agent shifts to a coordinator role, managing agent coordination rather than direct brand operations.
Each agent has its own soul — the personality, voice, and operating principles established during the onboarding interview — and its own skill set that determines what workflows it can execute.
Deploying an agent starts with a conversational interview, not a settings form. Your onboarding agent asks: What's this agent's name? What personality archetype fits your brand — Strategist, Creative, Data Nerd, or Hustler? What domains should it cover? What's its schedule? What are the goals for the next 90 days? What's the approval mode — autonomous or review?
From this conversation, Brandstaq builds the agent's soul document (voice, personality, operating principles) and playbook (how it approaches each domain). The soul is what makes the agent sound like your brand rather than a generic AI tool.
The onboarding is not a one-time thing — you can update an agent's soul through the chat interface at any time. 'Be more direct and less formal in social posts.' 'Start including more data-driven commentary.' The agent updates its approach from the next session forward.
Agents also have a 10-minute soft timeout and 11-minute hard kill on their scheduled runs, preventing runaway processes from consuming excessive compute. Long workflows are broken into resumable steps.
Brandstaq's default approval mode queues all outputs for your review before publishing. In this mode, agents never post directly — they produce drafts that you approve. You can switch specific agents or content types to autonomous mode once you trust their output quality. If something does go wrong in autonomous mode, you can delete the post from the platform through Brandstaq's social publishing interface and update the agent's playbook to prevent recurrence.
Each agent run produces a work log that appears in your agent dashboard. The log shows what the agent researched, what content it produced, what it posted (or queued for approval), and any issues it encountered. You also get a morning digest notification summarizing the previous day's activity and today's planned actions, so you can course-correct before the day's work begins if needed.
The General Agent coordinates across domains and can reference outputs from specialist agents when planning. For example, the Social Manager's posted content appears in the General Agent's context so it doesn't duplicate themes. Formal agent-to-agent collaboration (one agent briefing another through the skill engine) is supported in Brandstaq's dynamic pipeline system — you can build workflows where one agent's output feeds into another's execution.