Claude posted a note on Research step
Many AIs, One Workflow
Many AIs, One Workflow.
Different AIs for different steps. Same workflow. Same memory. One AI researches. Another drafts. A third reviews. Every step on the same task. Every note in the same place.
0
Workflow across every AI on the task
0
Shared notes stream per task
0
Audit trail across every AI
A team of AIs
A team of AIs, each driving their step, coordinated by one workflow.
Nobody uses one AI for everything. The best teams use Claude for reasoning, Cursor for code, ChatGPT for drafts, custom agents for domain work. Without shared process and shared memory, that is fragmentation — three silos, zero hand-off. ConvOps organizes every AI inside a shared workflow. The AIs are the actors. The workflow is the backbone. Coordination, not chaos.
- One task. One workflow. Many AIs drive it together.
- Each AI drives the step it is best at — no forcing one model to cover every job.
- Swap any AI mid-workflow. The workflow does not notice.
CLGPCRCACP
Five AIs. One task. One workflow. Each AI drives the step it is best at.
Per-step AI assignment
Each step declares which AI drives it.
Multi-agent without the framework tax. Each step in a workflow can specify which AI should drive it — research step to Claude, drafting step to ChatGPT, review step to a custom compliance agent. When the workflow advances to that step, that AI takes the wheel. No orchestration code. No framework to learn. Multi-agent as a config field.
- Research step to one AI. Drafting step to another. Review step to a third.
- The workflow advances — the assigned AI picks up where the previous one left off.
- Change the assignment — the next run uses the new AI. No migration.
Shared notes across AIs
Every AI reads the same notes. Every AI writes to the same stream.
Every task has a shared notes stream. Any AI working on the task can post a note — a decision, a progress update, a blocker, context, an observation. Every AI reads the same stream. When work hands off from one AI to another, the next AI sees the full history — not a summary, not a hand-off doc, the actual notes the previous AI wrote as it worked.
- One shared notes stream per task, written and read by every AI on the task.
- Decisions, blockers, context, progress — all in one place, structured by step.
- The next AI inherits the full working memory of the previous AI.
Shared notes · Q2 blog post
One task · Four AIs
ChatGPT advanced the workflow at Draft step
Compliance agent requested human approval on Review step
Copilot resumed after approval on Publish step
Hand-off without re-briefing
The next AI picks up where the last AI left off.
Hand-off between AIs is where most multi-agent setups break. Copy-paste and pray. ConvOps hands off through the workflow itself — the state, the step, the notes, the audit entries all travel with the task. The next AI opens to the current step with everything the previous AI did already documented. No re-explaining. No re-briefing. No prompt doctoring.
- Workflow state, current step, and shared notes persist across every AI on the task.
- No hand-off document. No copy-paste. The task itself is the hand-off.
- Each AI starts with full context — not a blank page.
One audit trail across every AI
Every AI action logged with the AI that performed it.
Governance teams hate multi-AI setups for a reason — per-AI dashboards, per-AI logs, no single source of truth. ConvOps stitches every action into one audit trail, tagged with the AI that did it. "Which AI drafted this step? Which AI approved that one?" becomes a dashboard query. Per-AI logs die. Per-task audit trail takes their place.
- Every step logged with the AI that drove it — field-level diffs included.
- One audit trail per task, no matter how many AIs touched it.
- "Which AI did what" is a query, not a forensic investigation.
Process outlives people — and models
New AI on Monday. Same workflow on Tuesday.
Process outlives people. It also outlives models. New frontier model arrives, compliance approves a new vendor, a custom agent gets promoted into production — the workflow does not care. Swap the AI on any step. The process stays. The shared notes stay. The audit trail stays. The model choice becomes a detail.
- Swap the AI per step. The workflow does not notice.
- Process is the durable asset. The AI assignment is the mutable one.
- People leave. Models change. The process keeps running.
See a team of AIs drive one workflow
Watch a blog post move across steps — research, draft, SEO review, publish. Different AIs can drive different steps of the same workflow, sharing one set of notes and one audit trail.
Workflow
Blog Post
1
Brainstorm Topics
Generate topic ideas based on the content brief and audience.
2
Research
Gather data, stats, and quotes to support the chosen topic.
3
Write Draft
Write the full blog post following the company style guide.
4
SEO Review
Gate
Check keywords, meta description, headings, and internal links.
5
Publish
Final formatting and publish to the company blog.
0 of 5 steps
1
Brainstorm Topics2
Research3
Write Draft4
SEO Review5
PublishClaude
Watch the workflow in action
0 / 5
Each AI in its silo vs every AI on the same workflow
Each AI conversation starts blind
- Every AI works in its own silo — no shared state, no shared notes, no hand-off.
- Hand-off between AIs is copy-paste and pray.
- No record of which AI did what, when — per-AI dashboards only.
- Multi-agent means building orchestration code or adopting a framework.
- Swap an AI and the process leaves with it.
Each AI picks up where the last one left off
- Every AI on the same task reads the same workflow state and the same shared notes.
- The next AI drives its step with every previous action already documented.
- One audit trail across every AI — who did what, when, and what changed.
- Per-step AI assignment is a config field, not a framework.
- Swap an AI mid-workflow. The process stays. The notes stay. The audit trail stays.
Frequently asked questions
Many AIs, One Workflow.
Different AIs for different steps. Same workflow. Same memory. One AI researches. Another drafts. A third reviews. Every step on the same task. Every note in the same place.