SpeqForgeA chat window waits to be asked. A team just gets on with it.
ChatGPT Teams gives everyone a very good model behind a blank prompt. SpeqForge gives you six product workers who already know your product, hold context between sessions, answer their own inboxes and extensions, and deliver work you never asked for twice.
Your side with SpeqForge
6 positions filledProduct Manager
Feedback → ranked specs
- inbox
- pm@acme.com
- ext
- 4101
- desk
- virtual desktop
CTO
Architecture, stack, trade-offs
- inbox
- cto@acme.com
- ext
- 4102
- desk
- virtual desktop
Designer
Flows, states, mockups
- inbox
- design@acme.com
- ext
- 4103
- desk
- virtual desktop
QA
Edge cases, test plans
- inbox
- qa@acme.com
- ext
- 4104
- desk
- virtual desktop
Marketing
Positioning, launch copy
- inbox
- marketing@acme.com
- ext
- 4105
- desk
- virtual desktop
Customer Success
Tickets, replies, follow-up
- inbox
- support@acme.com
- ext
- 4106
- desk
- virtual desktop
Your side with ChatGPT Teams
1 of 7 filledGeneral assistant
Excellent at anything you can describe in a prompt, every time you describe it. Starts each session knowing nothing about your product.
Who covers the work
“Nobody asked. It is Monday morning.”
Nothing. The window is open and the cursor is blinking. It will do excellent work the moment you describe the product, paste the context, explain the goal and ask the question, and again next Monday, from the top.
- 07:00PM has already read the weekend feedback and support threads
- 07:40Two themes cross the threshold you set; specs drafted for both
- 08:00Competitor watch picks up a launch that changes your positioning
- 08:05Email in your inbox: what moved, what she recommends, what she needs from you
- 08:05Both specs on the board before you have opened a tab
Where we differ
Colleagues, not a chat window
A chat interface is reactive by design. SpeqForge workers have roles, expertise and the standing to act, running scheduled work, answering mail, flagging blockers without being asked.
Configured once
With a general model you re-explain the product every session. SpeqForge workers hold your mission, users, stack and goals permanently, and remember what they did last week.
They come to you
Scheduled analyses, inbound email, ongoing research: all of it happens while you are elsewhere, and arrives as a message rather than a session you have to start.
Role-specific expertise
A general model knows everything a little. Your CTO worker thinks about scalability and reversibility; your QA worker thinks about coverage and edge cases. That specificity shows up in the output.
Addressable channels
Real inboxes and phone extensions. Forward a support thread to your PM. Let a customer call your CS extension. These are not chatbots; they are contacts.
Output that lands somewhere
Specs become work items on your board automatically. A chat window produces text you then copy into your tools by hand.
Questions people ask
Why not just use a good system prompt?
Prompting gets you good one-off output. It does not get you persistence, meaning product context, feedback history and past decisions carried across every interaction, or the workflow: specs becoming board items, feedback stored and searchable, reports structured and shareable.
How is this different from ChatGPT Teams or Claude for Work?
Those give your team a general model in a shared workspace. SpeqForge ships product roles with domain expertise, real email and phone channels, unattended execution, and structured formats for specs, BDD scenarios, competitor reports and risk registers.
Can I use both?
Most teams do. A general model for ad-hoc writing, coding help and research; SpeqForge for the systematic product work that needs persistence, structure and specialist output.
How is context kept between sessions?
Each worker holds a persistent profile: product description, personas, stack, goals, past deliverables. Every interaction starts with full context, and analysed feedback stays in the corpus to inform the next one.